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A Case Study Generator is a powerful tool designed to automatically create detailed case studies with the help of AI writing assistance. It plays a crucial role in showcasing business successes, attracting new clients, and establishing credibility within the industry.

With the rise of AI technology, creating case studies has been completely transformed. Now, it's possible to generate customized, top-notch case studies quickly and easily with the help of AI.

Junia AI 's Case Study Generator offers an innovative solution that elevates your storytelling efforts and sets you apart from the competition.

How Does Junia AI's Case Study Generator Work?

Junia AI's Case Study Generator is different because of how it creates case studies automatically. It uses smart AI algorithms to help with writing, making sure that the case studies created are of high quality and tailored to specific needs. The platform also has templates that can be customized, which helps in making the case study look good and organized.

• Advanced AI writing assistance algorithms
• Customizable templates

This combination of features makes it easy to create visually appealing and cohesive case study presentations.

Streamlining the Creation Process

The main goal of Junia AI's Case Study Generator is to make the process of creating case studies faster and more efficient. With this tool, users don't have to start from scratch or spend hours writing each section. Instead, they can input their information and let the AI do the rest.

• Tailored to user's needs and branding

Generating Compelling Narratives

One of the key strengths of Junia AI's Case Study Generator is its ability to generate compelling narratives based on data and content provided. The advanced algorithms analyze the information given and turn it into a story that engages readers.

• Analyzes data and content
• Creates compelling narratives

Ensuring Consistency and Coherence

Another advantage of using Junia AI's Case Study Generator is that it maintains consistency and coherence throughout the case study. This means that all sections flow well together and there are no abrupt changes in tone or style.

• Maintains consistency
• Ensures coherence

By combining these three elements - streamlined creation process, compelling narratives, and consistency/coherence - Junia AI's Case Study Generator helps businesses create effective case studies that showcase their success stories in a clear and persuasive manner.

Diverse Distribution Opportunities with Junia AI's Case Study Generator

Versatile distribution formats.

Junia AI's Case Study Generator offers a wide range of options for sharing your case studies, including:

• PDFs : Perfect for presentations or downloadable resources.
• Website integration : Seamlessly embed your case studies on your website for easy access by publishing your case study to your CMS systems, such as WordPress or Shopify .

Benefits of Using Blog Posts

One effective way to showcase the case studies you create with Junia AI is through blog posts . Here's why:

• Maximum reach : Blog posts have the potential to reach a large audience, helping you get your message out to more people.
• SEO advantages : By optimizing your blog posts with relevant keywords and links, you can improve your search engine rankings and attract organic traffic.

Easy Link Sharing for Collaboration

Junia AI understands the importance of collaboration and client presentations. That's why they've made it simple to share your case studies with others:

• Convenient link sharing : Generate unique links for each case study, making it easy to send them to clients or colleagues.
• Real-time updates : Any changes you make to the case study will automatically be reflected in the shared link, ensuring everyone is always viewing the latest version.

By utilizing these diverse distribution options, businesses can effectively showcase their case studies, reach a wider audience, and drive meaningful engagement.

Using a Case Study Generator can greatly enhance your storytelling efforts and establish credibility in your industry. The automation and AI technology offered by platforms like Junia AI's Case Study Generator can streamline the process of creating high-quality and tailored case studies, saving you time and effort.

By using a Case Study Generator like Junia AI, you can:

• Unlock your creativity and deliver compelling narratives that captivate your audience.
• Optimize case study performance and drive user interaction and conversion with customizable templates, real-time engagement tracking, and smart CTAs.
• Showcase your expertise and build trust with your target audience through generating personalized narratives with dynamic variables and branding application supported by Junia AI.
• Ensure maximum reach and SEO benefits by distributing case studies in various formats such as PDFs, website integration and blog posts.
• Impress potential clients, drive customer engagement, and ultimately achieve business success.

So why not leverage this innovative solution to elevate your storytelling efforts and establish yourself as an industry leader?

Example outputs

Generate engaging case studies effortlessly with our Case Study Generator

How XYZ Company Increased Their Organic Traffic by 50%

XYZ Company is a leading provider of software solutions for small businesses. They had been struggling to increase their organic traffic despite having a well-designed website and regularly publishing blog posts.

After conducting an SEO audit, we identified several areas where XYZ Company could improve their search engine rankings. We recommended the following strategies:

• Conducting keyword research to identify high-value keywords that were relevant to their target audience
• Optimizing on-page elements such as title tags, meta descriptions, and header tags
• Improving site speed and mobile responsiveness
• Building high-quality backlinks from authoritative websites in their industry

Within six months of implementing our recommendations, XYZ Company saw a 50% increase in organic traffic. Their website now ranks on the first page of Google for several high-value keywords, driving more leads and sales to their business.

How ABC Agency Helped a Local Restaurant Increase Their Online Visibility

A local restaurant was struggling to attract new customers through their online presence. Despite having a website and social media profiles, they weren't getting much engagement or visibility.

We conducted a comprehensive digital marketing audit and found several opportunities to improve the restaurant's online visibility. Our strategy included the following tactics:

• Creating a content marketing plan to publish regular blog posts and social media updates
• Optimizing the restaurant's website for local search with targeted keywords and location-based landing pages
• Running paid advertising campaigns on Facebook and Instagram to reach new audiences
• Implementing email marketing campaigns to keep existing customers engaged and encourage repeat visits

Within three months of implementing our strategy, the restaurant saw a significant increase in online visibility and engagement. Their website traffic increased by 75%, and they saw a 50% increase in social media engagement. The restaurant also reported an increase in foot traffic, with many customers mentioning that they found the restaurant through their online presence.

How DEF Company Increased Their E-commerce Sales by 200%

DEF Company is an e-commerce retailer selling fashion accessories. They had been struggling to increase their sales despite having a wide range of products and competitive pricing.

We conducted a thorough analysis of DEF Company's website and identified several areas where they could improve their user experience and conversion rate. Our strategy included the following tactics:

• Conducting customer research to identify pain points and opportunities for improvement
• Redesigning the website to improve navigation and make it more visually appealing
• Implementing a mobile-responsive design to cater to the growing number of mobile shoppers
• Improving product descriptions and images to provide more information and enhance the shopping experience
• Running targeted advertising campaigns on Google AdWords and Facebook Ads

Within six months of implementing our recommendations, DEF Company saw a 200% increase in e-commerce sales. Their website now ranks on the first page of Google for several high-value keywords, driving more leads and sales to their business.

What other amazing things can this template help you create?

✔ Meta Title

✔ Meta Description

✔ Extract keywords

✔ Feature Image

✔ Soon Internal Linking

Who needs Case Study Generator?

Marketing teams

Content creators

Business owners

Entrepreneurs

Frequently asked questions

• How does Junia AI's Case Study Generator work? Junia AI's Case Study Generator is different because of how it streamlines the creation process, generates compelling narratives, ensures consistency and coherence, and offers diverse distribution opportunities with versatile formats. It uses advanced algorithms to automate the case study creation process, saving time and effort for users.
• What is the main goal of Junia AI's Case Study Generator? The main goal of Junia AI's Case Study Generator is to make the creation process more efficient and effective. By automating the generation of compelling narratives and ensuring consistency and coherence, it aims to provide users with a powerful tool for showcasing their success stories.
• What are the key strengths of Junia AI's Case Study Generator? One of the key strengths of Junia AI's Case Study Generator is its ability to generate compelling narratives that captivate audiences. By leveraging advanced algorithms, it can create engaging stories that effectively showcase the success of a product or service.
• What are the advantages of using Junia AI's Case Study Generator? Another advantage of using Junia AI's Case Study Generator is its ability to ensure consistency and coherence across all generated content. This helps maintain a unified brand voice and message, enhancing the overall impact of the case studies.
• What distribution opportunities does Junia AI's Case Study Generator offer? Junia AI's Case Study Generator offers diverse distribution opportunities with versatile formats. Users can easily share their case studies through various channels such as blogs, social media, websites, and more, reaching a wider audience and maximizing impact.
• How can I showcase the case studies created with Junia AI's Case Study Generator? One effective way to showcase the case studies you create with Junia AI's Case Study Generator is by using blog posts. This allows you to reach your target audience through a popular and widely accessible platform, maximizing the visibility of your success stories.
• Does Junia AI's Case Study Generator support collaboration and client sharing? Yes, Junia AI understands the importance of collaboration and client sharing. The Case Study Generator provides easy link sharing options, allowing seamless collaboration between team members and effortless sharing with clients for review and feedback.

Case Study Generator

Write about, want some more features.

• - History to store generated content
• - Access to mobile apps for content generation on the go
• - Access to 500+ other AI tools and templates

AI4Chat's Innovative Case Study Generator

An all-in-one chatbot solution.

AI4Chat presents a unique platform, unifying all popular chatbots like ChatGPT, Google Bard and GPT4. Offering access via its mobile applications on Android, iOS, and website, the platform delivers a versatile chatbot interaction experience.

Features That Stand Out

AI4Chat goes one step further with its features, including chat synchronization across all devices, labels, categories, notes, chat description, and search, conveniently available under a dark mode.

Case Study Generator: A Unique Application

In its stride towards innovation, AI4Chat is building a Case Study Generator. This tool will revolutionize the way people generate case studies, providing a one-click solution that automates the entire process.

Questions about AI4Chat? We are here to help!

For any inquiries, drop us an email at [email protected] . We’re always eager to assist and provide more information.

What Is AI4Chat?

What features are available on ai4chat.

• 🔍 Google Search Results: Generate content that's current and fact-based using Google's search results.
• 📂 Categorizing Chats into Folders: Organize your chats for easy access and management.
• 🏷 Adding Labels: Tag your chats for quick identification and sorting.
• 📷 Custom Chat Images: Set a custom image for each chat, personalizing your chat interface.
• 🔢 Word Count: Monitor the length of your chats with a word count feature.
• 🎨 Tone Selection: Customize the tone of chatbot responses to suit the mood or context of the conversation.
• 📝 Chat Description: Add descriptions to your chats for context and clarity, making it easier to revisit and understand chat histories.
• 🔎 Search: Easily find past chats with a powerful search feature, improving your ability to recall information.
• 🔗 Sharable Chat Link: Generate a link to share your chat, allowing others to view the conversation.
• 🌍 Multilingual Chat in 75+ Languages: Communicate and generate content in over 75 languages, expanding your global reach.
• 💻 AI Code Assistance: Leverage AI to generate code in any programming language, debug errors, or ask any coding-related questions. Our AI models are specially trained to understand and provide solutions for coding queries, making it an invaluable tool for developers seeking to enhance productivity, learn new programming concepts, or solve complex coding challenges efficiently.
• 📁 AI Chat with Files and Images: Upload images or files and ask questions related to their content. AI automatically understands and answers questions based on the content or context of the uploaded files.
• 📷 AI Text to Image & Image to Image: Create stunning visuals with models like Stable Diffusion, Midjourney, DALLE v2, DALLE v3, and Leonardo AI.
• 🎙 AI Text to Voice/Speech: Transform text into engaging audio content.
• 🎵 AI Text to Music: Convert your text prompts into melodious music tracks. Leverage the power of AI to craft unique compositions based on the mood, genre, or theme you specify in your text.
• 🎥 AI Text to Video: Convert text scripts into captivating video content.
• 🔍 AI Image to Text with Context Understanding: Not only extract text from images but also understand the context of the visual content. For example, if a user uploads an image of a teddy bear, AI will recognize it as such.
• 🔀 AI Image to Video: Turn images into dynamic videos with contextual understanding.
• 📸 AI Professional Headshots: Generate professional-quality avatars or profile photos with AI.
• ✂ AI Image Editor, Resizer and Compressor, Upscale: Enhance, optimize, and upscale your images with AI-powered tools.
• 🎼 AI Music to Music: Enhance or transform existing music tracks by inputting an audio file. AI analyzes your music and generates a continuation or variation, offering a new twist on your original piece.
• 🗣 AI Voice Chat: Experience interactive voice responses with AI personalities.
• ☁ Cloud Storage: All content generated is saved to the cloud, ensuring you can access your creations from any device, anytime.

Which Languages Does AI4Chat Support?

How do i toggle between different ai models, can i personalize my chats, what is a credit, can i upgrade, downgrade, or cancel my current plan anytime, what happens if i run out of credits, do unused credits carry forward to the next month, is there an option for unlimited usage, do i need a credit card to get started, what is the refund policy for subscriptions and one-time credit purchases, are payments safe, do you offer team or volume discounts, do you offer api access, can i use generated content for commercial purposes, is it easy to cancel my membership, where can i download the ai4chat mobile app, can i use the content generated using ai4chat for commercial purposes, how do i contact support, more questions, all set to level up your content game.

All in One AI platform for AI chat, image, video, music, and voice generatation. Create custom AI bots and workflows in minutes from any device, anywhere.

• AI Art & Images
• AI Music & Voice

AI4Chat © 2024. All Rights Reserved.

• Privacy Policy

AI Case Study Creator That Brings Stories to Life

Easily create impressive interactive case studies that increase lead engagement and conversion rates.

Used by professional marketing teams at:

Professional case study templates built for storytelling

Simply grab a template and let our AI case study generator✨ bring it to life for you:

How our AI case study generator works

Generate your case study with ai.

Simply type in what you need and let Storydoc do the magic for you!

Edit and bring it to perfection

Let our magic assistant help you through the process
with automatic slide copy and design.

Turbo-charge with integrations

Easily connect your CRM, calendar, and other tools
to move from static PDFs to actionable case studies.

Send. Track. Convert. Track customer engagement and conversion in real-time Generate your case study with AI

Send. track. convert..

Track customer engagement and conversion in real-time

Their case studies are getting attention

“Storydoc gives us the power and flexibility to design case studies and other pieces of content ourselves, even with our limited design experience ."

“With our most recent Storydocs, we're like, ‘Oh my goodness, It brought it to life like we do when we present it , but without the person even being there!’”

" Storydoc sets me apart from my competitors .  My goal is for my business to be memorable and Storydoc allows me to showcase the colors of my business in the best possible way."

A business case studies tool you can trust

Turn your case studies into an engagement tool.

Switch from static PDFs and webpages to interactive case studies created with modern marketing needs in mind.

Stop killing engagement

Readers strongly dislike PDF content . Replace your static case studies with interactive multimedia stories users love and remember.

Grant yourself content superpowers with AI

Easily design amazing interactive case studies by yourself faster than ever, guided by AI. No coding, no design skills needed.

Don’t lose your mobile readers

32% of case studies are opened on mobile  - your storydocs won’t fail to impress on mobile or any other device.

Convert users directly from your case studies

Enable readers to easily take the next step directly from your case studies with smart CTAs like a form, calendar, or live chat.

Wanna know if your case studies are working?

Get real-time analytics on everything . Reading time, scroll depth, conversions, shares, and more.

Make personalized case studies for ABM

Easily personalize prospecting case studies . Add the prospect's name and title with dynamic variables and instantantly apply their branding.

Your readers want a story , not a case study

Give'em what they want, give'em a Storydoc.

Everything that you should know about Storydoc

What is the Storydoc case study creator?

This AI case study generator lets you to intuitively design and write engaging interactive stories that captivate prospects. No coding or design skills needed.

The Storydoc case study designer offers a broad array of interactive slides for startups and new business concepts. These can be quickly and easily customized to align with your vision and requirements.

Storydoc frees you from outdated PPT slide methods, offering instead a scroll-based, web-friendly, mobile-optimized experience, complete with performance analytics.

Is the Storydoc AI case study generator safe?

Absolutely, the Storydoc AI case study creation app is secure and reliable. Your personal information is well-protected and encrypted.

We prioritize your data security, adhering to stringent security policies and best practices. Don't just take our word for it; companies like Meta, Pepsi, and Xerox trust us enough to use Storydoc daily.

For more information see  Our Story page ,  Terms and Conditions , and  Privacy Policy .

Why Storydoc is more than just another AI case study creator?

Storydoc is more than a tool for creating presentations. Instant AI case studies are useful, but they can become repetitive.

Sure, you can create your content faster, but does it truly stand out? Will it be effective? Probably not.

The issue often lies in the traditional PowerPoint design, whether AI-assisted or not. Storydoc takes a different approach.

We create case study experiences that truly engage decision-makers, featuring scrollitelling, multimedia, and in-document navigation.

Check out these examples .

What’s so great about AI-generated case studies?

An AI-generated case study can save you hours, even days, of effort for your startup. However, if you're using an AI PPT case study tool, you're saving time but potentially missing impact.

No one enjoys PowerPoints, even those created with AI. No AI PowerPoint case study tool can deliver a presentation that truly makes a difference. But Storydoc can. Our AI helps you create stories that generate interest and revenue.

Is Storydoc a free case study designer?

The Storydoc AI case study generator enables you to create content faster and more effectively than doing it solo.

Transform your presentations from ordinary to extraordinary in no time. Storydoc offers a 14-day free trial.

Try it out and see if it suits your needs. Based on hundreds of thousands of presentation sessions, we're confident that prospective clients will appreciate it.

Every interactive case study you create during your trial is yours to keep forever, at no cost!

For learning about our paid plans see our  Pricing .

Can I trust Storydoc with my data?

You can trust Storydoc to keep your personal information and business data safe.

The Storydoc app is safe and secure thanks to an encrypted connection . We process your data in accordance with very strict policies.

For more information, see Terms and Conditions , and Privacy Policy .

What's the best way to get started?

The easiest way to start is to visit our Case study templates page , pick a template you like, provide a few details, and see the magic happen - how Storydoc generates a presentation from scratch with your branding, content structure, visuals, and all.

Inside the presentation maker app, you can switch between templates, adjust your design with drag and drop interface, find ready-made slides for any use case, and generate text and images with the help of our AI assistant.

How do I send or share Storydoc case studies?

Storydocs function like web pages; each case study you create has a unique link for easy sending and tracking.

Once your Storydoc is complete, just hit publish. Published presentations are instantly viewable in any browser.

To share your presentation, simply click the Share button and copy the link. Viewers will experience an interactive webpage, far more engaging than a static PowerPoint or PDF.

Can I print Storydoc case studies?

Yes, but currently, this service is only available to our Pro and Enterprise customers. However, this feature will soon be accessible to all Storydoc users directly from the editor.

Keep in mind, a printed Storydoc loses its interactive elements, which are key to its high engagement and charm.

What integrations does Storydoc offer?

All the essential ones! Storydocs provide full content integrations: Calendly, Loom, YouTube, Typeform, and more, all of which can be added to your Storydoc presentation. But we offer much more than the basics.

With Storydoc, you can embed lead-capturing forms, your own live chat, advanced dashboards, in-page payments, and e-signatures.

Learn more on our Integrations page .

Are Storydocs mobile-friendly?

Yes! Storydoc is optimized for flawless mobile performance . No matter the divide or OS your case studies is opened on, the design will be perfect.

Check out similar Storydoc tools

Create your best case study to date

Stop losing opportunities to ineffective case studies. Your new winning case study is one click away!

10 Best AI Case Study Generators

Artificial intelligence is revolutionizing the field of content creation, particularly in the generation of case studies. AI Case Study Generators are advanced tools that utilize machine learning and natural language processing to create detailed, engaging, and informative case studies. These tools are designed to assist businesses, researchers, and marketers in effectively communicating their success stories, research findings, or product effectiveness. By automating the process of case study creation, these AI tools save time and resources, allowing users to focus on other important tasks.

AI Case Study Generators are not just about automating the process of writing case studies. They are about enhancing the quality of the content, making it more engaging, and ensuring it is optimized for search engines. With the right AI Case Study Generator, you can create content that resonates with your audience, drives engagement, and boosts your online visibility.

The Need for AI Case Study Generators

In today’s fast-paced digital world, creating high-quality, engaging content is crucial for any business or organization. Case studies, in particular, are a powerful tool for demonstrating the value of a product, service, or solution. However, writing a compelling case study can be time-consuming and challenging. This is where AI Case Study Generators come in.

AI Case Study Generators leverage advanced algorithms and machine learning to automate the process of creating case studies. They can analyze large amounts of data, identify key insights, and present these in a clear, engaging manner. This not only saves time and resources but also ensures that the case studies are of high quality and tailored to the target audience.

• Grammarly AI Case Study Generator
• ClickUp Generate Case Studies with AI
• Junia Case Study Generator
• Cohesive AI Compelling Case Studies Generator
• Storydoc AI Case Study Generator
• CopyRemix Turn Testimonials into Case Studies
• Writecream Case Study Title Generator
• LogicBalls AI Case Study Generator
• DocHub AI Case Study Generator
• ChatGPT AI Case Study Generator

How to choose the Best AI Case Study Generators?

Choosing the best AI Case Study Generator involves considering several factors. First, you need to consider the quality of the content generated. The best AI Case Study Generators should be able to produce high-quality, engaging, and SEO-optimized content. They should also be able to analyze data and identify key insights effectively.

Second, consider the features offered by the AI Case Study Generator. Some generators offer features like data analysis, SEO optimization, and customization options. These features can enhance the quality of your case studies and make them more effective.

Finally, consider the ease of use and the cost of the AI Case Study Generator. The best generators should be user-friendly and affordable, offering good value for money.

Best AI Case Study Generator (Free and Paid)

1. grammarly ai case study generator.

Grammarly AI Case Study Generator is a powerful tool designed to streamline the process of creating professional, thorough case studies. This AI-powered tool is designed to save businesses time by assisting with the often-time-consuming parts of writing a case study. It provides a platform where users can share some basic details and quickly generate ideas suited to their needs. The tool also allows users to adjust the formality, tone, and length of their text with just a few clicks, ensuring the writing is clear and mistake-free.

What does Grammarly AI Case Study Generator do?

Grammarly AI Case Study Generator is designed to simplify the process of creating a case study. It uses AI to generate a draft of a case study based on the details provided by the user. The tool is designed to help users achieve the right formality, tone, and length for their case study. It also provides suggestions to ensure the writing is clear and free of mistakes. The tool is designed to make the process of creating a case study less daunting and more efficient.

Grammarly AI Case Study Generator Key Features

AI-Powered Writing Assistance : Grammarly AI Case Study Generator uses artificial intelligence to assist in the creation of case studies. It generates a draft based on the details provided by the user, making the process more efficient and less time-consuming.

Adjustable Formality, Tone, and Length : The tool allows users to adjust the formality, tone, and length of their text with just a few clicks. This ensures that the case study is tailored to the user’s needs and preferences.

Clear and Mistake-Free Writing : Grammarly AI Case Study Generator provides suggestions to ensure that the writing is clear and free of mistakes. This helps to enhance the quality and professionalism of the case study.

Time-Saving : The tool is designed to save businesses time by assisting with the often time-consuming parts of writing a case study. This allows businesses to focus on other important tasks.

User-Friendly Interface : Grammarly AI Case Study Generator features a user-friendly interface that is easy to navigate. This makes the tool accessible to users of all levels of technical proficiency.

Integration with Grammarly : The tool is integrated with Grammarly, allowing users to further improve their writing and instantly generate emails, documents, and more in their preferred voice.

Grammarly AI Case Study Generator Pros and Cons

Grammarly ai case study generator pros.

• AI-powered writing assistance
• Adjustable formality, tone, and length
• Clear and mistake-free writing
• Time-saving
• User-friendly interface
• Integration with Grammarly

Grammarly AI Case Study Generator Cons

• Limited to English language
• Requires internet connection

2. ClickUp Generate Case Studies with AI

ClickUp’s AI Case Study Generator is a cutting-edge tool designed to streamline the process of creating detailed and insightful case studies. This tool leverages artificial intelligence to automate the generation of case studies, making it an invaluable asset for businesses and researchers alike. It’s designed to save time, increase efficiency, and provide high-quality, data-driven case studies that can help businesses make informed decisions and showcase their success stories in a compelling way.

What does ClickUp Generate Case Studies with AI do?

ClickUp’s AI Case Study Generator is designed to automate the process of creating case studies. It uses advanced AI algorithms to analyze data, identify key insights, and generate comprehensive case studies. The tool is capable of handling large volumes of data, extracting relevant information, and presenting it in a clear, concise, and engaging manner. It’s designed to help businesses and researchers save time, increase efficiency, and produce high-quality case studies that can be used for a variety of purposes, including marketing, sales, and research.

ClickUp Generate Case Studies with AI Key Features

Automated Case Study Generation : ClickUp’s AI Case Study Generator automates the process of creating case studies, saving users valuable time and effort.

Advanced AI Algorithms : The tool uses advanced AI algorithms to analyze data, identify key insights, and generate comprehensive case studies.

Data Handling : It’s capable of handling large volumes of data, ensuring that no important information is missed.

Information Extraction : The AI Case Study Generator is designed to extract relevant information from the data, providing users with the most important and useful insights.

Clear Presentation : The tool presents the information in a clear, concise, and engaging manner, making the case studies easy to understand and compelling.

Versatility : ClickUp’s AI Case Study Generator can be used for a variety of purposes, including marketing, sales, and research, making it a versatile tool for businesses and researchers.

ClickUp Generate Case Studies with AI Pros and Cons

Clickup generate case studies with ai pros.

• High-quality case studies
• Handles large volumes of data
• Clear presentation

ClickUp Generate Case Studies with AI Cons

• Requires data input
• Dependence on data quality

3. Junia Case Study Generator

The Junia Case Study Generator emerges as a sophisticated tool designed to streamline the process of creating detailed and persuasive case studies. It serves as a boon for professionals and businesses aiming to showcase their success stories and solutions in a manner that resonates with their target audience. This generator is adept at transforming a complex task into a seamless experience, ensuring that each case study is not only informative but also engaging and SEO-friendly, thus enhancing its visibility and impact.

What does Junia Case Study Generator do?

The Junia Case Study Generator is a dynamic platform that simplifies the creation of case studies by providing a structured approach to narrate a client’s journey. It assists in selecting relatable subjects, crafting a compelling narrative, and incorporating specific details and data to substantiate the strategies employed. The generator also enriches the content with authentic quotes and optimizes it for SEO, thereby maximizing reach and establishing credibility. Its ability to generate content that mirrors the expertise, trust, and authority of a business makes it an invaluable asset for lead generation and brand reinforcement.

Junia Case Study Generator Key Features

Customizable Templates : Junia offers a variety of templates that can be tailored to fit specific content needs, ensuring versatility and relevance across different industries.

SEO Optimization : The case studies produced are designed with SEO in mind, helping to improve search engine rankings and drive organic traffic.

Multi-Language Support : Catering to a global audience, Junia allows for the creation of content in multiple languages.

Integration with Content Management Systems : The templates are compatible with various systems, facilitating a smooth incorporation into existing workflows.

Regular Updates : Junia continually refreshes its template collection, providing users with the latest tools for content creation.

User-Requested Templates : The platform is responsive to user feedback and open to adding new templates as per user suggestions.

Junia Case Study Generator Pros and Cons

Junia case study generator pros.

• Customizable templates
• SEO-friendly
• Multi-language support
• Regular updates
• User feedback incorporation

Junia Case Study Generator Cons

• Dependence on internet connectivity
• Limited to text-based case studies

4. Cohesive AI Compelling Case Studies Generator

Cohesive AI Compelling Case Studies Generator is a powerful tool designed to create data-driven case studies that highlight product features and benefits. It’s a tool that brings ideas to life, offering over 200 templates to choose from, and generating high-quality content that can significantly enhance customer engagement. This tool is designed to help businesses showcase their product’s potential and take their marketing strategy to the next level. It’s a user-friendly platform that allows you to generate content in just a few clicks, making it an invaluable asset for businesses looking to create compelling case studies.

What does Cohesive AI Compelling Case Studies Generator do?

Cohesive AI Compelling Case Studies Generator is designed to help businesses create compelling, data-driven case studies. It follows user instructions to bring creative ideas to life, and if you’re running short on ideas, it can generate numerous novel ones for you. It allows you to add fine-tuning parameters to give the AI-written content your voice, and it generates content in just a click. With its highly intuitive editor, you can tweak or incorporate more ideas into the content effortlessly. It intertwines factual data with engaging narratives, producing case studies that are as insightful as they are readable.

Cohesive AI Compelling Case Studies Generator Key Features

Hybrid Functionality : Cohesive AI Compelling Case Studies Generator offers a unique hybrid functionality that combines elements from both ChatGPT and Slack. This feature enables efficient team communication within the platform, which is critical for cohesive case study development.

Centralized Collaboration : This feature allows insights, objectives, and data points to be discussed and refined in real time. This ensures that AI-generated case studies have depth and reflect the team’s understanding.

Free Pricing Tier : Cohesive offers a free pricing tier that generously allows unlimited word generation. However, it’s limited to only 15 template runs per month.

Creator Plan : For those who require more, it also offers the Creator plan at $25 per month with 150 monthly template runs.

Agency Plan : For businesses with larger needs, there’s the Agency plan, which offers even more template runs.

Data-Driven Case Studies : The platform is designed to create data-driven case studies that highlight product features and benefits, making it an invaluable tool for businesses looking to showcase their product’s potential.

Cohesive AI Compelling Case Studies Generator Pros and Cons

Cohesive ai compelling case studies generator pros.

• User-friendly platform
• Hybrid functionality
• Centralized collaboration
• Free pricing tier
• Creator and Agency plans
• Data-driven case studies

Cohesive AI Compelling Case Studies Generator Cons

• May require some learning curve for new users
• Dependence on user instructions for content generation

5. Storydoc AI Case Study Generator

Storydoc AI Case Study Generator is a cutting-edge tool designed to bring stories to life. It leverages artificial intelligence to structure, write, and design case studies tailored to your industry or niche. The tool is designed to optimize performance based on real-world data, ensuring that your case studies are not only engaging but also effective. Once you’re satisfied with your design and content, you can easily share or present it with a click, making it a versatile tool for businesses of all sizes.

What does Storydoc AI Case Study Generator do?

Storydoc AI Case Study Generator is a tool that simplifies the process of creating case studies. It uses AI to structure your case study, write your content, and assign a design template that fits your industry or niche. The tool also optimizes your case study for performance based on real-world data. This means that it not only creates visually appealing case studies but also ensures that they are effective in achieving your business goals. Whether you’re looking to share your success stories with potential clients or present your case studies in a business meeting, Storydoc AI Case Study Generator makes the process seamless and efficient.

Storydoc AI Case Study Generator Key Features

AI-Driven Design : Storydoc offers an AI assistant that structures your case study, generates content, applies design templates, and optimizes for performance based on real-world data.

Automated Branding Integration : The tool automatically integrates your branding into the most suitable design layouts, ensuring a consistent and professional look.

AI-Powered Writing & Visual Support : Storydoc provides AI-powered writing and visual support, enabling you to create compelling case studies effortlessly.

Engagement Analytics : Storydoc offers engagement analytics, allowing you to track and receive timely insights about which parts of your case study are most effective.

Interactive and Actionable Documents : Storydoc turns your case studies into interactive and actionable documents, transforming them from static PDFs into effective growth tools.

14-Day Free Trial : Storydoc offers a 14-day free trial, allowing you to test out its features and see if it’s the right fit for your needs.

Storydoc AI Case Study Generator Pros and Cons

Storydoc ai case study generator pros.

• AI-driven design
• Automated branding integration
• AI-powered writing and visual support
• Engagement analytics
• Interactive and actionable documents
• 14-day free trial

Storydoc AI Case Study Generator Cons

6. copyremix turn testimonials into case studies.

CopyRemix is an innovative tool that leverages artificial intelligence to transform user testimonials into comprehensive case studies. This AI-powered platform is designed to help businesses maximize the value of their customer testimonials by repurposing them into longer-form content that can be used for marketing and sales efforts. By taking a testimonial and crafting a detailed case study around it, CopyRemix provides a more in-depth and engaging narrative that can effectively showcase a product or service’s benefits and impact on customers.

What does CopyRemix Turn Testimonials into Case Studies do?

CopyRemix takes user testimonials and, within a matter of minutes, turns them into full-fledged case studies. The AI reviews the intent behind the testimonial, breaks it down into logical sections, and then crafts a story around the points mentioned. This process results in a roughly 600-word case study that provides a more comprehensive view of a customer’s experience with a product or service. While the AI doesn’t fabricate information, it’s recommended to proofread and verify the generated content before publishing, as with any AI-generated content.

CopyRemix Turn Testimonials into Case Studies Key Features

Turning Testimonials into Case Studies : CopyRemix’s primary function is to transform user testimonials into detailed case studies. This feature allows businesses to repurpose their existing testimonials into more comprehensive and engaging content.

AI-Powered Formatting Options : The platform uses AI to format the case studies, ensuring they are well-structured and easy to read.

Quick Content Generation : CopyRemix can generate a remixed case study in just 2-3 minutes, making it a time-efficient solution for content creation.

In-Depth Content : The AI creates approximately 600-word case studies, providing a more detailed view of a customer’s experience than a typical testimonial.

Easy to Use : The platform is user-friendly, requiring users to simply paste in their testimonials and let the AI do the rest.

Proofreading and Verification : While the AI strives to maintain accuracy, CopyRemix encourages users to proofread and verify the generated content before publishing.

CopyRemix Turn Testimonials into Case Studies Pros and Cons

Copyremix turn testimonials into case studies pros.

• Efficient content generation
• In-depth case studies
• AI-powered formatting
• Repurposing of existing testimonials

CopyRemix Turn Testimonials into Case Studies Cons

• Limited customization options
• Dependence on the quality of the original testimonial

7. Writecream Case Study Title Generator

The Writecream Case Study Title Generator is a specialized tool designed to assist content creators in crafting compelling titles for their case studies. This innovative tool leverages AI technology to analyze the core elements of a case study, such as the industry, problem, and solution, to generate engaging titles that are likely to capture the attention of readers and improve click-through rates. With the promise of enhancing content marketing efforts and driving conversions, the Writecream Case Study Title Generator positions itself as a valuable asset for professionals looking to elevate the impact of their case studies.

What does Writecream Case Study Title Generator do?

The Writecream Case Study Title Generator simplifies the process of title creation by providing users with instant, AI-generated titles that resonate with their target audience. By inputting details about the case study, users can quickly obtain a variety of title options that are not only relevant but also designed to engage and intrigue potential readers. This tool eliminates the need for extensive brainstorming and allows for customization, enabling users to fine-tune the suggested titles to better fit their content and stylistic preferences. The result is a streamlined path to obtaining high-quality, attention-grabbing titles that can lead to increased readership and conversions.

Writecream Case Study Title Generator Key Features

Instant Title Generation : The ability to produce titles instantly with a single click is a standout feature, removing the common hurdle of writer’s block and saving valuable time for creators.

AI-Powered Analysis : Writecream’s AI algorithms delve into the provided case study details to generate titles that are not only catchy but also deeply aligned with the content’s core message.

Diverse Title Options : Users are presented with a range of title suggestions, offering the flexibility to choose the one that best captures the essence of their case study.

Customization and Tweaking : The platform allows for personalization of the AI-generated titles, giving users the freedom to incorporate their own ideas and preferences into the final title.

Export Functionality : Once a title is selected and customized, it can be easily exported for use, facilitating a seamless transition from title generation to content distribution.

User-Friendly Interface : The generator is designed with a straightforward and intuitive interface, ensuring that even those new to AI tools can navigate and utilize it effectively.

Writecream Case Study Title Generator Pros and Cons

Writecream case study title generator pros.

• Easy to use
• Customizable titles
• Diverse options
• No additional fees for new features

Writecream Case Study Title Generator Cons

• May require fine-tuning
• Limited to case study titles

8. LogicBalls AI Case Study Generator

LogicBalls AI Case Study Generator is a powerful tool designed to streamline the process of creating case studies. This AI-powered tool leverages advanced algorithms to generate comprehensive and engaging case studies, tailored to your specific needs. It’s like having a dedicated writing assistant, capable of producing high-quality content that fosters deeper connections with your audience, increases engagement, and promotes long-term loyalty.

What does LogicBalls AI Case Study Generator do?

The LogicBalls AI Case Study Generator is designed to create case studies easily and efficiently. It acts as a learning tool, offering guidance on structure, content, and storytelling. By studying the generated drafts, users can refine their writing skills for crafting impactful case studies in the future. The tool harnesses the extraordinary capabilities of artificial intelligence to infuse creativity into your case studies, ensuring that the generated content is not just a generic placeholder but tailored to your specific needs.

LogicBalls AI Case Study Generator Key Features

User-Friendly Interface : The LogicBalls AI Case Study Generator features a user-friendly interface that makes it easy for users to navigate and use the tool effectively.

Advanced AI Technology : The tool leverages advanced AI technology to generate comprehensive and engaging case studies, tailored to the user’s specific needs.

Learning Tool : The AI Case Study Generator also acts as a learning tool, offering guidance on structure, content, and storytelling.

Versatility : The LogicBalls platform offers a range of AI writer alternatives, allowing users to compare LogicBalls with other tools to see which one best suits their needs.

Free Usage : LogicBalls allows users to use some of the tools in a limited fashion even without signing up, making it accessible to a wider audience.

Risk-Free Return Policy : They also offer a 3-day risk-free return policy for its paid plans, which is a nice touch for those hesitant about making a financial commitment.

LogicBalls AI Case Study Generator Pros and Cons

Logicballs ai case study generator pros.

• Advanced AI technology
• Acts as a learning tool
• Versatility
• Risk-free return policy

LogicBalls AI Case Study Generator Cons

• May require tweaking and editing

9. DocHub AI Case Study Generator

DocHub AI Case Study Generator is a cutting-edge tool designed to streamline and enhance the process of creating and managing case studies. This tool leverages the power of artificial intelligence, specifically ChatGPT-driven functions, to automate and simplify the often complex and time-consuming task of summarizing case studies. It’s a part of DocHub’s broader suite of document administration solutions, which also includes features for eSigning, sharing, and securely storing documents. The goal of DocHub AI Case Study Generator is to make your workflows more efficient, freeing up your time for other important tasks.

What does DocHub AI Case Study Generator do?

DocHub AI Case Study Generator is designed to automate the process of summarizing case studies. It uses advanced AI algorithms to analyze the content of a case study and generate a concise, informative summary. This tool is particularly useful for businesses and individuals who regularly work with case studies and need a quick and efficient way to extract key information from them. In addition to summarizing case studies, DocHub also offers features for editing files, securely eSigning documents, and safely storing completed papers, all in one place. It’s a comprehensive solution for document management, designed to streamline your workflows and make your daily tasks easier.

DocHub AI Case Study Generator Key Features

ChatGPT-Driven Functions : DocHub AI Case Study Generator leverages the power of ChatGPT, a state-of-the-art language model, to analyze and summarize case studies. This AI-driven approach ensures accurate and efficient summarization of complex documents.

eSigning Feature : DocHub allows users to eSign documents within the platform, adding an extra layer of convenience and efficiency to your workflows.

Secure Document Storage : With DocHub, you can safely store your documents in one place, eliminating the need to switch between different solutions.

Streamlined Workflows : DocHub is designed to simplify your daily tasks and workflows, allowing you to focus on more important tasks.

Free Trial Version : DocHub offers a free trial version, allowing you to test out the strength of its AI and other features before committing to a paid plan.

User-Friendly Interface : DocHub boasts a modern, easy-to-use interface, making it accessible for both individual users and organizations.

DocHub AI Case Study Generator Pros and Cons

Dochub ai case study generator pros.

• Efficient case study summarization
• eSigning feature
• Secure document storage
• Streamlined workflows
• Free trial version

DocHub AI Case Study Generator Cons

• Limited options for integrations

10. ChatGPT AI Case Study Generator

The ChatGPT AI Case Study Generator is a sophisticated tool designed to streamline the process of creating case studies. It leverages the power of artificial intelligence, specifically the GPT-3 model, to generate comprehensive, detailed, and contextually relevant case studies. This tool is designed to save time and effort, allowing users to focus on analysis and decision-making rather than the laborious task of writing. It’s a tool that brings the power of AI to the fingertips of researchers, analysts, and decision-makers, providing a new way to generate insightful case studies.

What does ChatGPT AI Case Study Generator do?

The ChatGPT AI Case Study Generator takes user inputs in the form of briefs or outlines and transforms them into detailed case studies. It uses the GPT-3 model to understand the context and requirements of the case study, and then generates text that meets those requirements. The tool can create case studies across a wide range of subjects and industries, making it a versatile solution for anyone in need of detailed, insightful, and well-structured case studies. It’s not just a writing tool, but a partner in research and analysis, providing valuable insights and perspectives.

ChatGPT AI Case Study Generator Key Features

Versatility : The ChatGPT AI Case Study Generator can create case studies across a wide range of subjects and industries. This versatility makes it a valuable tool for a variety of users, from business analysts to academic researchers.

Efficiency : This tool significantly reduces the time and effort required to create detailed case studies. By automating the writing process, it allows users to focus on analysis and decision-making.

Quality : The case studies generated by this tool are not just comprehensive and detailed, but also high in quality. The GPT-3 model ensures that the text is contextually relevant and insightful.

User-Friendly Interface : The ChatGPT AI Case Study Generator features a user-friendly interface that makes it easy to input requirements and generate case studies.

Customizability : Users can guide the generation process by providing specific inputs and outlines. This ensures that the final output meets their specific needs and requirements.

Scalability : This tool is capable of generating multiple case studies at once, making it a scalable solution for larger projects and organizations.

ChatGPT AI Case Study Generator Pros and Cons

Chatgpt ai case study generator pros.

• High-quality output
• Customizability
• Scalability

ChatGPT AI Case Study Generator Cons

• Requires clear and detailed inputs
• Potential for AI misunderstandings

FAQs on AI Case Study Generator

What is an ai case study generator.

An AI Case Study Generator is a tool that uses artificial intelligence to create case studies. It leverages machine learning and natural language processing to analyze data, identify key insights, and present these in a clear, engaging manner. The result is a high-quality, SEO-optimized case study that effectively communicates the value of a product, service, or solution.

How does an AI Case Study Generator work?

AI Case Study Generators work by analyzing large amounts of data and identifying key insights. They use machine learning algorithms to understand the data and natural language processing to present the insights in a clear, engaging manner. The result is a high-quality, SEO-optimized case study.

Who can benefit from using an AI Case Study Generator?

Businesses, researchers, and marketers can all benefit from using an AI Case Study Generator. These tools can help them create high-quality, engaging case studies that effectively communicate the value of their products, services, or solutions. They can also save time and resources by automating the process of creating case studies.

What are the different types of AI Case Study Generators?

There are several types of AI Case Study Generators, including those that focus on data analysis, those that focus on SEO optimization, and those that offer a range of features including customization options.

Are there free AI Case Study Generators available?

Yes, there are free AI Case Study Generators available. However, these may offer limited features compared to paid versions. It’s important to consider the features and quality of the content generated when choosing an AI Case Study Generator.

What are the limitations of AI Case Study Generators?

While AI Case Study Generators offer many benefits, they also have limitations. For example, they may not be able to understand complex data or identify subtle insights as effectively as a human writer. They also rely on the quality of the data provided and may produce less accurate results if the data is incomplete or inaccurate.

Who should be using an AI Case Study Generator?

Anyone who needs to create high-quality, engaging case studies can benefit from using an AI Case Study Generator. This includes businesses, researchers, and marketers.

AI Case Study Generators are transforming the way we create case studies. By leveraging advanced algorithms and machine learning, these tools can analyze large amounts of data, identify key insights, and present these in a clear, engaging manner. This not only saves time and resources but also ensures that the case studies are of high quality and tailored to the target audience.

However, while AI Case Study Generators offer many benefits, they also have limitations. It’s important to understand these limitations and choose the right tool for your needs. With the right AI Case Study Generator, you can create high-quality, engaging case studies that effectively communicate the value of your product, service, or solution.

Information is supplied by the app/software/service provider or retrieved from publicly accessible materials. Please notify us if you find any updated or inaccurate information.

© Copyright 2020 Morning Dough - All rights reserved

The Better Blog

How to create great case studies (including ai prompts and templates).

Case studies are one of the most powerful tools in the marketer’s toolkit: they show how real-life customers have been helped using your product or service. In this guide, we’ll give you AI prompts you can use to quickly draft great case studies, along with FAQs and best practices.

Unlock superior case study formats with Media Shower’s expertise. Click for a demo .

First, Generate Your Marketing Overview

Paste the following prompt into ChatGPT or a similar AI tool:

Hello! I’m a busy marketing manager who wants to create a concise marketing overview for my business. I need your assistance in this process. Please ask the following ten questions, one at a time. – What is the name of your business?

– Please provide a link to your website.

– What industry does your business operate in?

– What products or services does your business offer?

– Who is your target audience or customer base?

– What is their pain point?

– What is the unique value proposition or key differentiator of your business?

– How long has your business been operating?

– What are the main goals and objectives of your business?

– Are there any specific marketing channels or strategies that you have used in the past?

Based on my answers, please generate a marketing overview to serve as a primer for future AI prompts. Leverage the 24 VIA character strengths where appropriate. Then, let’s check the marketing overview for accuracy, asking any clarifying follow-up questions if needed.

Then, Generate Your Case Study Layout

In the same chat session, paste the following prompt:

Based on this marketing overview, I want to create a case study layout for my business. Please ask the following questions, one at a time, allowing me to skip questions I don’t know.

• What specific marketing challenge or problem did your business face that led to this case study?
• Can you share quantifiable metrics or KPIs highlighting an area needing improvement (e.g., declining sales, low website traffic)?
• What was the specific solution or initiative you implemented to address this challenge?
• How did you arrive at this solution? Did you consider other alternatives?
• What were the results or outcomes after implementing the solution, quantitative (e.g., increase in sales) and qualitative (e.g., improved brand perception)?
• Were any unexpected obstacles or issues during the implementation phase, and how were they addressed?
• Can you provide any testimonials or feedback from stakeholders, customers, or team members regarding the initiative?
• How has this case study influenced your future marketing strategies or business decisions?
• Can you provide any supplementary data, visuals, or research to support the case study’s narrative?
• Are there any confidentiality concerns or specific elements you wish to omit or emphasize in the case study format?

Please generate a draft detailing the case study formatting based on my answers. Leverage the 24 VIA character strengths where appropriate. Then, let’s check the generated draft for accuracy, asking any clarifying follow-up questions if needed.

Harness AI-powered precision for flawless case studies. See how it works .

More AI Prompts for Creating Case Studies

After you’ve drafted a case study, here are additional AI prompts to help you polish and perfect it.

• Refine Language: “Adjust the vocabulary to suit a [specific industry/audience], making it more technical/simple.”
• Map the Journey: “Visualize the customer’s journey from recognizing the problem to the solution.”
• Be Consistent: “Ensure the narrative follows a consistent tone and voice throughout the document.”
• Highlight Achievements: “Spotlight the top three successes from this case study in a visually appealing manner.”
• Incorporate Data: “Integrate relevant data points or statistics to strengthen the narrative.”
• Add Personal Touch: “Introduce quotes or testimonials to add authenticity to the story.”
• Clarify Goals: “Detail the primary objectives at the project’s outset and measure them against the results.”
• Optimize for Digital: “Format the case study for optimal readability on digital platforms, including mobile.”
• Strengthen Visual Appeal: “Suggest graphical elements or visuals to accompany the case study narrative.”
• Engage the Audience: “Craft an engaging opening hook to captivate the reader’s attention immediately.”

Examples of an AI-Generated Case Study

Nexapoint tech case study: revolutionizing network security with nexashield dashboard, background and challenge.

NexaPoint Tech, a leading SaaS provider of network management and security products, faced a significant challenge. Despite offering top-tier services, the company observed a 15% decline in new subscriptions over six months and a noticeable decrease in website traffic.

Quantifiable Metrics

• 15% decrease in new subscriptions.
• 20% decline in website traffic.
• Customer feedback indicated a need for more intuitive security solutions.

Solution Implemented

NexaPoint Tech decided to launch a new product, the NexaShield Dashboard, a network SIEM dashboard. This decision was made after carefully considering alternatives, including updating existing products. The company introduced the NexaShield Dashboard for its innovative features and user-friendly interface.

Strategy Development

The solution was to implement a multi-pronged marketing strategy:

• A 60-second educational and inviting video aimed at IT decision-makers.
• An omnichannel marketing campaign across YouTube, social media, and the company website.
• A focus on highlighting the ease of use and comprehensive nature of NexaShield Dashboard.

Results and Outcomes

• 25% increase in new subscriptions within three months post-launch.
• 35% increase in overall website traffic.
• Positive feedback from customers, noting the dashboard’s simplicity and effectiveness.
• Improved brand perception as an innovator in network security solutions.

Challenges During Implementation

The initial challenge was creating a buzz in an already crowded market. This was overcome by leveraging unique video content and targeted social media campaigns.

Influence on Future Strategies

This success has encouraged NexaPoint Tech to innovate and focus on user-friendly, cutting-edge solutions. Future strategies will include more direct engagement with potential clients through digital channels and continued investment in educational content.

Supplementary Data

• User engagement statistics on the NexaShield Dashboard.
• Website traffic reports pre and post-campaign.

Confidentiality Concerns

The case study will focus on the positives while maintaining confidentiality regarding specific financial data and client identities.

Case Study Format

• Introduction: Overview of NexaPoint Tech and the challenges faced.
• Situation Analysis: Detailed look at the problems and metrics.
• Solution: Description of NexaShield Dashboard and its launch.
• Implementation: Outline of the marketing strategy.
• Results: Quantitative and qualitative results post-implementation.
• Testimonials and Feedback: Real-world impact and customer insights.
• Conclusion: Future implications and learnings.

Best Practices for Case Studies

• Lead Strongly: Begin with a compelling hook or headline to grab attention.
• Map the Journey: Clearly outline the problem, solution, and results chronology.
• Be Consistent: Maintain a uniform tone, style, and voice throughout.
• Highlight Metrics: Showcase quantifiable results to validate success stories.
• Make it Personal: Incorporate real testimonials or stakeholder quotes.
• Keep Copy Concise: Use short, impactful sentences for easy reading.
• Optimize Visuals: Integrate relevant images, charts, or infographics.
• End Memorably: Conclude with actionable insights or next steps.

Elevate your content with Media Shower’s AI prowess and team of experts. Click to try us out .

10 Frequently Asked Questions About Case Studies

What's the ideal length for a case study.

Most case studies range from 1-4 pages, prioritizing conciseness and clarity while ensuring all essential details are covered.

Should the case study focus more on the problem or the solution?

Balance is key; dedicate equal attention to the problem and its solution to provide a complete narrative.

How many visuals should be incorporated into a case study?

Use 2-3 impactful visuals like charts, infographics, or photos to enhance the message without cluttering the layout.

Is it necessary to have a client testimonial in the case study?

While not mandatory, client testimonials add credibility and authenticity to the narrative.

How often should case studies be updated?

Update case studies whenever there's new data or results, ensuring they remain relevant and impactful.

In which section should the key results be highlighted?

Introduce key results at the beginning for a strong start, and delve deeper into them towards the end.

Can case studies be used for multiple marketing channels?

Case studies can be repurposed for blogs, presentations, social media, and other channels with formatting adjustments.

How should I format the headers and subheaders in a case study?

Use bold, larger fonts for main headers and distinguish subheaders with either italics or slightly smaller font sizes to create a clear information hierarchy.

What's the best way to position visuals within the case study layout?

Place visuals close to the relevant text, ensuring they're integrated seamlessly without breaking the flow; consider using sidebars or call-out boxes for added emphasis.

Should the case study layout be single or multi-column?

A single-column layout is more mobile-friendly for digital platforms, while print versions can benefit from multi-column layouts to maximize space and readability.

10 Protips for Case Studies That Drive Results

• Format Flexibility: Adapt across platforms. Ensure your case study is readable and engaging on desktop and mobile devices.
• Narrative Flow: Craft compelling stories. Start with a challenge, transition to the solution, and conclude with results for a cohesive narrative.
• Visual Impact: Optimize graphic elements. Use high-quality images and infographics to illustrate data and enhance understanding.
• Credibility Boost: Showcase testimonials. Incorporate genuine client feedback to add authenticity and build trust.
• Data Presentation: Highlight measurable results. Use clear charts or graphs to represent success metrics visually.
• Engaging Hook: Capture attention early. Start with a striking fact, quote, or statistic to immediately engage readers.
• Clear Call-to-Action: Guide the reader’s next step. Conclude with an explicit, compelling action for readers, whether contacting your business or reading more.
• Consistent Branding: Reflect your brand identity. Ensure the case study’s design, tone, and language align with your broader brand guidelines.
• SEO Optimization: Rank higher in search. Incorporate relevant keywords naturally within the text to improve search engine visibility.
• Relevance Check: Stay up-to-date. Regularly update your case study to reflect new data, testimonials, or results, ensuring it remains pertinent and powerful.

Craft better case studies with our award-winning team of experts. Click here for a demo .

More Tools for Busy Marketing Managers:

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Case Study Writer

AI for Case Studies: How to Use ChatGPT to Create a Case Study

How to Use ChatGPT to Create a Case Study 

Case studies are pivotal in content marketing. They play a critical role in helping decision-makers choose and champion the potential value of your offering. But after a while, publishing case studies can become cumbersome and mundane. Shiny new AI-powered tools like ChatGPT might begin to feel irresistible. So, how can you use AI to create case studies?

Here’s how to use ChatGPT to assist you in creating case studies, in a nutshell:

• Analyze Your Data to Find Powerful Angles.
• Research and Plan Interview Question Ideas.
• Extract Details, and Quotes From Interviews.
• Build a Compelling Structure and Narrative.
• Draft and Revise Starting Points
• Tailor your Copy to Resonate With a Persona.
• Refine and Revise Content Based on Feedback.

Let’s get into the benefits of using large language models (LLMs) to assist you in developing case studies for content marketing. We’ll cover some limitations, helpful tips for achieving the best outcomes, and examples based on mock interviews. With this guide, you’ll be one step closer to improving your case studies with AI.

A real-life human with expertise in content marketing wrote this blog post – not AI. 

The benefits of AI for Case Studies

A marketing case study is a type of long-form content that follows a predictable pattern. Its goal is to convert a lead by convincing them of the benefits of your solution through a success story. This predictability is part of what makes them a good fit for assistance from conversational AI language models like ChatGPT.

LLMs like OpenAI’s ChatGPT and Google’s Bard have been trained on the structures and language patterns of many kinds of content, including case studies. These AI chatbots can process, interpret, and organize copious amounts of relevant case study data, ideas, and information much faster than any human.

LLMs can also…

• Add a creative edge to brainstorming ideas
• Help you learn about topical nuances
• Suggest fresh angles and perspectives
• Help improve your drafts clarity and relevance

Tired of repeating yourself? ChatGPT-4 now lets you customize your own chat interface that follows your rules and context during conversations. These custom GPTs fine-tune how the tool takes your direction to generate consistent outputs that meet your standards faster and with less refinement.

Using ChatGPT to Generate Case Studies

So we know that AI tools like ChatGPT can generate human-like text from prompts. They take the context from your conversational prompts to generate natural-sounding responses. If you’re clear about your goals, LLMs can be quite effective at brainstorming ideas, analyzing text, data, and images, and improving any part of your case study.

ChatGPT can also act as a feedback buddy to help you spot gaps in your story, predict objections and reactions, and fix redundancies – so you can bring your case studies to a whole new level. And, it can do all of this at lightning speed. Not only can you now create more compelling case studies with assistance from AI, you might even be able to do it faster.

Limitations of ChatGPT for Case Studies

ChatGPT has been criticized widely across the content marketing side of LinkedIn for generating boring, generic copywriting filled with hyperbole, bias, and sometimes nonsense. It’s been around long enough that, by this point, most people are catching on when text has been generated by an LLM and published with little to no proofing or editing.

Here are a few precautions for using ChatGPT for writing case studies…

• GPTs’ limited subject matter expertise can lead to irrelevance and is inherently unoriginal
• LLMs have inherent biases in their training data and can risk spreading and misinformation
• You must be aware of the implications and legal risks around confidential information you share
• Output quality relies on input quality
• AI generated text can completely miss the heart and soul of your voice
• GPT can repeat itself and overuse certain common words and phrases

As tempting as this may be, establishing and protecting the human element in your writing is crucial. This is especially true when representing your brand in the consideration stage of a prospect’s customer journey .

7 Ways to Use ChatGPT for Case Study Content Creation

ChatGPT can be your superhero sidekick when creating case studies. But it’s important to remember that its role is to assist you – not take over and do it all. The key to using ChatGPT or Google’s Bard to help you produce more compelling case studies is to start and finish with your own data and original human input.

For an AI-assisted case study that stands out (for good reasons), it’s up to you to train your LLM with the original ideas, facts, and outcomes you want to see presented.

Here is how to use ChatGPT to assist you in each step of creating case studies for marketing:

Analyzing Data

Where ChatGPT gets exciting is in analyzing both qualitative and quantitative data. Using AI to find patterns in data at the start of your project can be helpful when you’re searching for a case-study-worthy success story in the first place.

ChatGPT can now interpret and generate larger portions of text and read more file types like images, spreadsheets, and PDFs. It can quickly identify patterns and anomalies to help you find standout wins faster than even the speediest spreadsheet wizards.

Generating Interview Questions

Jazzy, creative copywriting does not make a case study great. What makes a case study great is asking the right questions about the star customer’s experience to draw out the most impactful answers that paint a persuasive story.

Your case study should position your customer advocate as the champion in this story – and the solution you’re promoting should be the ‘secret’ weapon they use to succeed.

During your research stage, you can use ChatGPT to help you make the most of your customer interview. Ask ChatGPT to generate specific, high-impact questions your interviewee will be surprised you thought to ask. If you’re not already familiar with the industry, AI can help you learn more about the nuances so you can ask better follow ups.

In this example, I provided ChatGPT with a (mock) statement from a sales representative and asked it to generate a list of questions I could bring to the interview. ChatGPT provided a series of specific questions grouped by theme, making it easy to browse by category and shortlist interesting interview questions. As always, more detailed prompts usually lead to more quality outputs.

Extracting Themes, Details, and Quotes From Interviews

Once you’ve interviewed the champion customer and solution provider SME, you can share these transcripts with ChatGPT as PDFs or text to extract key themes, ideas, details, and testimonials.

Extracting insights from interview transcripts is where the magic can happen. Instead of giving ChatGPT a raw list of stats and facts about the success story and letting it fill in the gaps, feed it an original narrative that can help the LLM assist you in turning it into a persuasive story.

Here, I shared a 2,700-word interview transcript with ChatGPT, prompting it to extract impactful insights relevant to a case study. This prompt was loose and generic, but the AI could still extract and categorize the key messages into a structured summary much more quickly than a person reading through the entire 25-minute conversation.

I took that one step further to pull the facts and figures mentioned in the interview, also asking for impactful quotes to feature. ChatGPT is pretty good at pulling and organizing the data points. If you’re specific enough about your goals and persona in your prompt, you can also try using it to spot specific individual statements from the interview that would resonate with your target audience.

How Much Text Can ChatGPT Process?

When working with large portions of text, ChatGPT and other LLM tools are limited in how many characters or words they can receive and send at a time. Longer words can reduce the word limit and take more time to process. Prompts and outputs are measured by ‘tokens’.

Here are the current token limits and numbers of words for ChatGPT according to OpenAI forums:

• ChatGPT-3.5 (the free version of ChatGPT) : 1,000 to ~4,000 words (4,096 tokens)
• ChatGPT-4 (available with a paid subscription) : 2,000 to ~6,000 words (8,192 tokens)

The paid version of ChatGPT allows you to work with larger ‘context windows’ than the free version. ChatGPT’s input and output character limits have improved over time and continued to, but there are tools like Claude that are competitively made to support even larger context windows.

Outlining a Case Study Story and Structure

Case studies usually follow a fairly conventional formula to simplify the process for potential customers when evaluating various brands and options. They typically must cover a few essential angles to result in successful lead generation.

Case studies usually look something like this:

• An introduction with key highlights and facts/figures
• An overview of the customer and their situation
• Challenges and pain points before the solution
• Choosing the solution, the experience, the benefits
• The astonishing outcomes, impact, and value

If you already have an established template for your case studies, you could start by giving ChatGPT an outline as simple as this – or with even more detail. Another option is to brainstorm and experiment with new formats, inspired by ChatGPT’s recommendations as well as your data, goals, personas, interview footage, and even competitor’s case studies.

ChatGPT-4 also has a new ability to visit links and analyze pages you share with it (assuming the site hasn’t blocked GPT’s bots .) This makes it easy to gather an analyze competitor examples at scale, so you can position your own case study wisely in the market.

Drafting Introductions, Summaries, and Rote Information

Even with lots of material available for ChatGPT to learn from, you shouldn’t let ChatGPT draft 100% of your case study. Your case study’s voice and style is too nuanced (and too human) for LLM to run solo through the finish line. Instead of generating the entire case study all at once, try working on it section by section. Get some early drafts flowing, and then make edits to guide it toward perfection.

Chunking it up can give you more control. But you may still spend quite some time editing out repetitive phrases and redundancies. After all, LLMs are still just pattern generators that specialize simply in what words should probably come next.

Here’s an example of a generic prompt that provided a generic response, even with a detailed transcript to reference.

If you choose to use an LLM to generate writing for your case study, know this: there are common words and phrases that can be a dead giveaway to readers. The more these are published, the more readers are noticing and tuning out.

Watch out for these words and phrases to make sure your copy is worthy of earning readers’ trust:

• The rapidly evolving landscape of [industry]…
• Delves into the transformative journey of…
• Furthermore
• Underscores
• Flourishing

Personalizing Language to Audiences or Personas

Once you’ve created your first rough draft, use ChatGPT to revise some of your word choices and phrases to better resonate with your target audience. It can give you ideas for language your target audience themselves use to describe their problems, pain points, and business goals.

If you don’t have a documented persona, try prompting ChatGPT to build one from a customer interview transcript. Since ChatGPT can remember the full conversation (to an extent) you can follow up a prompt to edit your draft with that persona in mind.

To me, this is the cool part; iteratively experimenting and learning from how the AI chatbot changes its approach to revising your case study. It can spark your imagination and gives you some cool ideas of your own.

Using the words and phrases your intended audience easily understands and feels comfortable with helps your case study be more personal and persuasive. ChatGPT can help you brainstorm those. It can also help you spot and re-phrase or remove jargon and slang that may be unfamiliar or confusing to your audience.

Feedback on Gaps and Iterative Revisions

Your case study copywriting is almost complete. You might normally send the draft to a colleague for feedback at this stage. Before you do that, try running your draft by ChatGPT first.

Ask ChatGPT to approach your prompt in the ‘mindset’ (AKA, attempt to reference its relevant training data) of your audience. It can give you feedback on what’s persuasive about your case study – or where it might be weaker, unclear, or confusing.

Prompt ChatGPT to look for redundancies and information gaps. Or ask it for objections or questions that the reader could be left with. Then, prompt it for advice on how to address those objections.

It might jump ahead to revise your draft, which you might not want. In this case, clarify that you would like a list of suggestions that you can react to before implementing any revisions. Then, you can choose which suggestions to let the LLM try to implement – or make the changes manually yourself.

Best Practices for Using ChatGPT for Case Studies

Think beyond text generation for ai case study assistance.

It’s criminally easy to ask ChatGPT to “generate a case study for me.” Instead, I challenge you to think beyond the oversimplified use case of AI writing. AI can help you strategize and strengthen case studies that are far more effective than what you’ve created before. But if you allow LLMs to guide too much of the actual case study copywriting, you may cut yourself out of the process too much and ultimately miss out on those gains.

I recommend using a tool like originality.ai to scan your text for plagiarism and detect how much of it appears to be human-written vs AI generated. This can give you a good idea of how effectively you’re editing your draft to sound more human and original, even if you started with an AI draft.

Use Detailed Prompts for Better Quality Outputs

Command ChatGPT’s narrative by providing thorough and specific context. Instead of going with the flow from simple prompts, take the time to explain your exact specifications. ChatGPT can help you extract and define relevant problems, pain points, standout quotes from customer interviews, crucial statistics, audience insights, and brand nuances – to help you achieve more unique responses that better align with your objectives.

Lean into Dynamic, Iterative Feedback Cycles

ChatGPT can be a dynamic partner in the drafting process. Throughout creating your case study, chat through what’s good about early drafts, find gaps and redundancies, and then make iterative improvements.

By actively refining and editing its outputs, you can maintain a relatable and humanized narrative that aligns with your marketing goals. But when it comes to fine-tuning grammar, punctuation, tone and readability, I suggest moving your draft over to a dedicated AI-powered editing tool like Grammarly.

Not Sure Where to Start? Ask ChatGPT to Start with Questions

If you need help figuring out where to start, or what types of information to include in your prompts try this: Tell ChatGPT what your goal is and then prompt it to ask you questions that would help it give you the best response.

This strategy is great when you’re sending a complex or possible unclear prompt. With that prompt, include a statement at the end, that goes something like, “Ask me questions about anything that is unclear so that you can give me the best quality response.”

You might get a larger list of questions than you have time to answer. Still, it will let you know which factors the LLM is considering in generating its response. If you receive too many questions, try telling ChatGPT to suggest answers for you to approve. If you already provided enough context and reference material, its assumptions may be correct already.

Captivating Case Studies from our AI-Assisted Experts

AI can help you create influential case studies, possibly even in a fraction of the time. But it still takes a human to gather the story’s details, guide the narrative, and fine-tune how the details are delivered as they relate to your broader content marketing strategy.

At Augurian , we’re harnessing the power of AI tools like ChatGPT to explore new ways to help our clients find confidence in their digital marketing investments. We seriously geek out about this stuff, and we love showing off how these new ideas work. Check out our own marketing case studies .

Want to get in on this? Reach out to our content marketing experts to find out how we can develop case studies and other high-impact digital marketing solutions for your business.

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How to Use an AI Case Study Generator

If you’ve been toying with the idea of using AI to amp up marketing projects, you’re already on the path to tapping into something incredibly powerful. Enter the  AI case study generator  – your new best friend in marketing and brand building. These AI content generators can be your secret weapon in creating detailed, compelling customer case studies that capture the essence of your topic, turning a time-consuming task into a breeze.

But where do you start? How do you ensure you’re getting the most out of this AI tool? Let’s explore the ins and outs of using AI case study generators.

TL;DR here’s a quick summary video of this article.

What is an AI case study generator?

How to use an ai case study generator effectively, step 1. navigate to the ai tool or create a custom template, step 2. input the necessary information (product/service and company names + descriptions), step 3. add notes for more context (problems or challenges, solutions, and impact), step 4. choose the desired tone for the case study, step 5. review, edit, and refine the ai-generated case study.

An AI case study generator is a tool that automates the creation of case study content with the help of artificial intelligence. It simplifies the process of writing insightful, data-driven case studies, which are crucial for businesses looking to demonstrate their product effectiveness.

Unlike traditional case study creation methods that demand considerable time and effort for structuring and writing, an AI case study generator produces comprehensive case studies with just a few inputs from the user. All you have to do is supply the raw data and content to the tool, and the AI will analyze it to create a solid customer case study.

Narrato’s AI case study generator, offered as part of the  AI Content Assistant , can generate a well-written case study using only your notes.

Narrato’s AI case study generator

Its  AI writer  offers over 100 other AI templates to help you create blog articles, web copy, landing pages ( AI landing page generator ), product descriptions, and more. And if you want to optimize that content for SEO, there’s an  AI SEO brief generator  and  AI keyword generator . Whatever your content creation needs, this platform has an AI template for it. When you can’t find an AI template for your specific requirement, you can easily create one using  custom AI templates .

Using an AI case study generator can enhance your marketing efforts, but knowing how to use it effectively is key to achieving the best outcomes. Here’s a simple guide to get the most out of this AI tool.

The first step would be to go to the AI content assistant or your content task page on Narrato, and search for the case study AI template.

Searching for the AI case study generator

If you feel that the ready-made template does not give you everything you need in your customer case study, you can even build a custom AI template with your own prompt and inputs. Here’s a detailed guide to creating a  custom AI template .

Once you’re on the tool, you need to input the necessary information about the product/service and company you’re featuring in the case study. Make your inputs detailed and comprehensive to get the best output from the AI tool.

Start by entering your product/service name. If the case study is about a product, be sure to include any specific model or version if applicable. This will help set the context for your case study and give readers a clear idea of what your product is all about.

Next, include a brief description of your product/service. Highlight its key features, benefits, and how it solves a problem for your customers. This description should be concise but informative, to give a clear understanding of what makes your product unique. After that, it’s time to input your company name and a short description of your company. Talk about your company’s mission, values, and why you’re passionate about what you do. This helps build credibility and trust with readers who might be considering your product.

Adding company and product/service info in Narrato’s AI case study generator

After you’ve added the basic details, you need to provide the AI case study generator with some context for building the case study. On Narrato, you can provide this in the form of notes.

First up, you’ll have to define any specific problems or challenges that your customer was facing. Then, add detailed notes for the solution that was provided for those problems and challenges. And finally, add notes explaining the impact of those solutions. Make sure to include any quantitative data as well as qualitative insights that demonstrate the solution’s effectiveness.

Providing Narrato’s AI case study generator with context for the case study

Providing accurate and comprehensive information at this stage can help improve the quality and relevance of the AI-generated case study.

The tone of your case study will greatly impact how your audience perceives and engages with your content. Consider the purpose of your case study. Are you aiming for a formal, professional tone to showcase your expertise in a particular industry? Or would a more casual and conversational tone be more appropriate to connect with your audience on a personal level? It’s also a good idea to think about your target audience at this point. What tone would resonate with them the most? Are they looking for a serious and analytical approach, or would they prefer a lighter and more relatable tone?

Choosing the tone for the AI-generated case study

Narrato also gives you the option to generate a custom tone using the  AI brand voice generator . The tool analyzes your sample content pieces to generate a unique brand voice on the platform, which can then be applied to all the content assets. By choosing this as your tone of voice, you can ensure on-brand content every time you use the AI case study generator.

After entering everything, the AI will generate a case study for you, complete with all the relevant info.

AI-generated case study

It’s crucial to review this AI-generated case study. Look for any areas that might require more detail or clarification. Editing and refining the content to add a personal touch, strengthen the narrative, or include additional data can greatly enhance the overall impact of the case study. Remember, the AI provides a strong starting point, but your insights and tweaks turn that foundation into a compelling, effective case study.

That’s a wrap

Using an AI case study generator can seriously up your marketing game, slicing through the hassle and time sink of traditional case study writing methods. Whether you’re aiming to enlighten readers or showcase your brand’s wins, learning how to use this tool is a smart move. In this article, we’ve shown you how. Now it’s on you to make the most of this tool. Remember, the power of AI is immense, but in the end, it’s the human touch—the strategic, creative thinking that you apply in using these tools—that will truly distinguish your case studies.

So, go ahead, and give Narrato’s AI case study generator a try!

Akshita is a content creator, with a penchant for turning complex topics into engaging and informative articles. As a wordsmith with a knack for storytelling, she is constantly looking for an opportunity to create something new.

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Best AI Case Study Examples in 2024 (And a How-To Guide!)

Who has the best case studies for ai solutions.

B2B buyers’ heads are spinning with the opportunities that AI makes possible.

But in a noisy, technical space where hundreds of new AI solutions and use cases are popping up overnight, many buyers don’t know how to navigate these opportunities—or who they can trust.

Your customers are as skeptical as they are excited, thinking…

• “I’m confused by the complexity of your technology.”
• “I’m unsure whether there’s clear ROI.”
• “I’m concerned about my data security.”
• “How will I integrate AI into our systems?”
• “I’m worried about employee pushback.”
• “I’m nervous about its use and governance.”

Done well, case studies about your AI solution can answer all of these questions in a way no other asset can:

With real-world storytelling, third party trust, and practical demonstrations that you can do what you promise.

To help you level up your customer stories, we’ve scoured the web for examples of the best AI case studies from companies spanning billion-dollar-juggernauts and scrappy startups.

Then, we profiled exactly what they’re doing well so you can level up your own stories!

OPPORTUNITY ALERT: Of all of the businesses we reviewed in researching this piece, just 50% were publishing customer success stories on their websites. Want an instant competitive advantage in AI? Scale your own case study production right now!

1. Location is everything: make stories findable

Key decision-makers in B2B businesses actively seek out word-of-mouth content about potential AI partners (like you!). So the easier they can find case studies on your website, the better.

Of the AI businesses we analyzed doing case studies, most make it easy to locate their case study overview page (where prospects see your complete portfolio of case studies at a glance.)

A common journey is via ‘Resources’ in the main navigation bar, followed by a link to ‘Customer Stories’, ‘Client Stories’, ‘Case Studies’, or similar.

For example, Otter.ai has their customer stories slightly buried in their “Blog” section , with an easy-to-miss category link. We don’t love this, because there’s no clear reason someone should expect to find this type of content in the blog vs. a “Customers” section or otherwise:

These also appear in their “Resources” section, but without any sort of jump link or clear indication you might find them there:

But you can do better!

In a space so skeptical and noisy, we advise you follow the likes of Presight AI and Google DeepMind and give buyers access to your customer success stories with a single click from the main navigation:

While Presight AI favors simplicity with a link to ‘Client Stories’, Google DeepMind opens the door via ‘Impact’.

If, like Google DeepMind, your impact as an AI business extends beyond commercial customers to broader sectors and communities, using a term like ‘Impact’ works well, but ‘clear’ is better than clever here, and a simpler term (‘Customers’) may be stronger.

You’ve put in the hard work sourcing concrete proof for potential buyers; don’t put hurdles in the way of finding it.

AI case study overview pages

The ‘overview’ for your customer story page is where customers are going to either continue their journey with intention—or stumble around in the dark.

A great overview page provides a clear sense of hierarchy (what’s important?), organization (what’s here, and what’s for me?) and expectation (what’s on the other side of the click?).

Take Jasper.ai for example:

Their overview page starts strong with a compelling bit of social proof (100,000+ businesses? Holy toledo!). Having a featured story is great (more on that later), though the headline for the one in the image sort of buries the lede (800% surge in traffic!? Holy toledo!)

After that, the page offers no clear way to drill down with intention: A lead is left to scroll through the logos presented to see if there are any companies they know of, or choose a story at random—most likely the featured story or the one in the upper left of the grid.

That’s not as ideal: you’d much rather have a customer quickly find the stories most relevant to THEM.

Boston Dynamics is one AI business worth emulating on that front.

A no-nonsense intro tells prospects they’re on the right page: “Discover success stories from real customers putting our robotics systems to work.”

If you choose to run a featured case study on your overview page, choose a high-impact one that appeals directly to…

• A substantial result (with metrics ideally), if your audience is skeptical about ROI
• A strong quote on the alleviation of pain (if metrics aren’t available)
• A weighty promise of value if your audience is looking for something to aspire to
• A clear ‘how-to’ hook if your audience is curious about the logistics/implementation

Next, Boston Dynamics provides a comprehensive list of case studies. It’s important that prospects can easily slice and dice these to find studies that are most relevant.

Boston Dynamics does this in a couple of ways:

First, they provide filters by ‘topic’, ‘application’, and ‘industry focus’. Second, they stamp each preview image with the main use case in that study.

Potential buyers can sort the ‘safety’ wheat from the ‘inspection’ chaff with or without filters.

There are other ways to optimize your overview page and help buyers find relevant case studies fast.

Consider using imagery that reflects your customers’ industry or specialism. Also include company logos, so prospects recognize relatable brands.

Another AI business with a strong overview page is Dynatrace . Like Boston Dynamics, they kick off with a featured story:

Instead of creating intrigue with a juicy title and intro, Dynatrace runs a ‘hero’ quote.

A strong quote from your interviewee, at the outset, can spike prospects’ serotonin levels, create intrigue and add credibility.

Dynatrace’s hero quote isn’t as dynamic as it could be, though it’s still strong, speaking to specific benefits (clarity and visibility).

Dynatrace offers a video testimonial (rather than written) as their featured story, something we’re all for when context for the content has been provided like it has been with the hero quote.

Video adds even more trust for buyers because they see the speaker’s reactions and emotions right there in front of them (though be careful not to conceal the interviewee’s face with the play button!)

Again, Dynatrace provides an easy-to-segment list of stories. Brand-focused imagery, company logos, and filter functionality make digging out relevant content a breeze:

  LIGHTBULB MOMENT: Want to take filtering in your AI business to the next level? Buyers want more clarity on your ROI, so why not provide an ROI filter that highlights common KPIs/outcomes that matter to customers (e.g. savings, time savings, increased sales, reduced errors, improved retention, etc.)?

2. I can see clearly now: the importance of readability

Executed properly, case studies mimic the powerful effect of word of mouth and can be as persuasive as a trusted recommendation from friends.

But AI businesses face an added challenge: while you know your AI solution inside out, buyers could be confused by the complexity of your technology.

In any B2B business, multiple people will likely be involved in any buying decision. If your case study is meant to appeal to (typically) less tech-savvy buyers (e.g. CEOs, CMOs, etc.), then avoiding complex jargon is key.

One way to do this is to put the customers’ quotes and narrative at the core of the story.

Runway handles this with a Q&A style approach to customer stories where their customers’ responses (and thus, language) make up the entire content:

But if the Q&A style approach isn’t right for you (and it may not be), you’ve got options.

6 quick tips for writing an AI case study well

Before we dive into examples of the best written case studies for AI, here are some basics to bear in mind:

1. Every great story has a beginning, middle, and end. Case studies follow more or less the same flow: a headline, a challenge, a solution, and the results you achieved.

2. Every good story needs a hero, so introduce yours—your client. Your leads care about the transformation of someone like them, facing similar pressures and decisions. You want to build tension and stakes to make the story relatable, highlighting relatable pains and making the story feel personal.

Remember: heroes are rarely idiots—don’t make your customer look like one.

3. Explain in specific detail how your hero’s pain got solved. To demonstrate your value, you want to help the reader feel the same relief, security, and confidence that the actual customer experienced. Don’t just list the features that the customer used: tie everything back to a specific, desirable outcome and a practical “how.”

4. Address specific AI-related objections in the content. If leads worry about integration, explain it in your customers’ words. If they’re worried about security, aim for quotes covering this. A lot of this comes down to properly planning and structuring interviews with your clients.

5. Share the impact beyond the metrics (but the metrics, too.) In the ‘results’ section, metrics matter—but so does clearly showing the transformation that has taken place. Use specific examples of what a customer can do now, or do better. Share from their output, portfolio, or specific process if you can.

Make it real with tangible examples.

6. Avoid jargon, complicated words, and creative adjectives, unless… Jargon is to be killed with fire UNLESS your customers use that same jargon and identify with it (e.g. technical roles that prize their acronyms and lingo.)

Now, let’s get into what we saw in AI case studies out in the wild.

Across the companies we analyzed, we identified A LOT of impenetrable language and off putting jargon. A huge chunk of stories were so chewy, most non-technical B2B buyers would probably spit them out, for example:

“The ‘xxx (technology)’ provides a framework for energy operators, service providers and equipment providers to offer interoperable solutions, including AI- and physics-based models, and monitoring, diagnostics, prescriptive actions and services for energy use cases.”

These sentences are SO long. Incomprehensible jargon is everywhere. It all means next to nothing, unless you have a deep technical background in that business.

And your buyers may not!

We also found that while AI businesses should always aim for specificity in case studies, content (especially around results) trended towards being vague. For example:

“The collaboration has proven to be a fruitful venture, providing the bank with new opportunities for growth and risk management in the changing financial landscape.”

A fruitful venture? Was it as impactful as a falling watermelon or a shriveled grape?

Remember that buyers are looking for concrete, relatable, “I-can-now-do-this” proof of your capabilities. They want word-of-mouth quotes and powerful metrics.

Not rotten fruit or vague terms.

But it wasn’t all business-speaky doom and gloom. We found some great examples from AI businesses who deliver clarity and simplicity—including UiPath, who excelled at presenting the challenges their customers faced clearly and simply.

“The payroll process is complex, sensitive, and error-prone. It requires the coordination of various departments including HR, finance, and legal. Processing every wage accurately every single time requires massive effort and involves tedious manual tasks.”

UiPath make the story relatable, too, by adding human interest:

“On the micro level, missing a payment or getting it wrong simply isn’t an option when employees have bills to pay and essentials to buy.”

The pain of missing a bill because your employer messed up payroll is recognized by most people. This creates an emotional connection and sympathy in the reader.

And that probably means more engagement with the story at large!

UiPath liberally sprinkles customer quotes throughout their studies, providing a constant reminder that their solution positively impacts real people in the real world, and allowing those people to speak for themselves, in their own terms.

They also seize every opportunity to add vibrant, descriptive language so buyers feel what their customer felt. It reads like a magazine feature in places:

“I was asked to look into automation,” Guez says with a sparkle in his eye , explaining that he came out of retirement to take on his current role. “At the time, RPA was a buzzword. It was still quite a new technology. We needed to get a pilot going to see how it could alleviate this pain point.”

Google DeepMind is another AI solution that tells understandable and engaging customer stories, successfully when it comes to describing complex tech in plain English:

In the circled section, the company describes its Flamingo technology with both clarity and flare.

They use a funny, real-world image—a dog balancing a stack of crackers on its head—that appeals to your senses and creates a vivid and emotional connection with their solution. A visual would almost certainly have added value here!

It’s worth trying similar with your own case studies: find descriptive language, metaphors, or examples that appeal to your audience’s imagination and persuade them to reach out to you.

Google DeepMind takes care to explain every piece of technical language it uses. In another section, they talk about “improving the VP9 codec”. But they don’t leave it hanging like a curveball you can’t hit.

They add a short sentence to explain what they mean: “a coding format that helps compress and transmit video over the internet”. Home run!

3. Who cares: demonstrating value and ROI

Given the risk inherent in choosing the wrong solution or adopting a new product that doesn’t pan out, discerning B2B buyers need a clear picture of the ROI that your AI solutions provide.

Give them that, and you’re already a step ahead of the competition.

Attack the status quo

Your greatest competitors aren’t other AI solutions: they’re what your ideal customers are doing to solve the problem now—and that may very well be nothing.

To make AI customer stories compelling, you need to demonstrate the limitations and risks of sticking with the norm in order to give your solution a backdrop it can stand out against.

DataRobot does a fantastic job of this in their Freddie Mac story:

ThoughtSpot leads the “Challenge” section of their Fabuwood customer story with a comparison against a well-established alternative, Power BI:

In both cases, this not only quickly establishes the shortcomings of the status quo: it also gives leads something to compare this new solution to, instantly putting ThoughtSpot and DataRobot into well-defined categories their customers can understand (“Oh, it would replace X!”) instead of some nebulous “AI” bucket (“Oh, it’s… a new… AI… thing.”)

The importance of metrics in demonstrating ROI

Across the AI businesses we analyzed, there was a noticeable lack of performance metrics in their case studies. This suggests that either customers aren’t seeing strong returns or, more likely, AI firms and their customers find it a challenge to quantify AI investments.

Most organizations using your technology will have considered baseline performance pre-AI, put measurable goals in place and be tracking progress.

To strengthen the impact of your case studies, ask them to provide this quantifiable proof during your interview process. The key here is to be specific about what you ask for.

So what metrics should you ask customers to dig out for you?

Of course, it depends on your products and customers’ goals for using them, but here are some general tips.

Anything related to sales is gold for prospective buyers, such as revenue growth, margin improvements, conversion rates, and customer lifetime value.

Ask, too, about improvements to operations and efficiency, including cost savings, error reduction, productivity improvement, and process optimization.

As well as hard returns, try to unearth softer ones, such as the human impact on your hero, as this will strongly resonate with B2B buyers in similar roles.

Now let’s check out some examples.

Some AI companies do attempt to add weight and muscle to their case studies with metrics. But even the best examples we found have work to do.

Numenta , for example, showcases a hot metric in the headline below. 20x inference acceleration is a big sell for customers operating in the computing space, because it improves the performance of their machines:

To make the headline more intriguing, Numenta could explain the result and impact of this 20x increase in processor speed on their customers. For example, sharing revenue growth or profit margin improvements off the back of this high-speed processor would give other buyers a tempting result they’d want to replicate.

Back to UiPath now, who also use metrics to show how customers reap the benefits of their AI solutions. Here, metrics take center stage at the start of a story :

UiPath has chosen operational metrics here—the number of automations implemented, number of transactions handled by robots, and growth in payrolls they process each day.

While they do provide quantifiable evidence of the impact of AI to their business, they could go further.

For example…

• If more transactions are being handled by robots, how much time is that saving the business?
• Has staff retention improved with more dependable payroll?
• Have they saved costs as a result of greater efficiency?

AI has clearly provided Papaya Global with significant benefits. With a little more work—and arguably more structure at the interview stage—UiPath could have left readers with no doubt about their solution’s ROI.

Going beyond metrics and into examples

Several solutions had demonstrations of outcomes—for example, galleries of outputted imagery or samples of produced work.  Kaiber  has a lovely gallery, as you’d expect from a very visual solution:

Meanwhile Tome comes to bat with stories that disambiguate a use case and explain an outcome that is valuable, but not necessarily quantifiable, like creating a “Personal radio station”:

These are also valuable in terms of demonstrating practical value, but business buyers also speak in terms of ROI, especially when making a case to their bosses for a purchase.

4. Don’t fight it: turning employee pushback into employee buy-in

An ongoing barrier for businesses looking to implement AI solutions is the risk of employee pushback: will staff actually adopt and support new technologies that may fundamentally change how they work?

Strategic AI companies can use customer success stories as a weapon to shoot down those objections.

We found a number of AI businesses using case studies to share the message: “AI is not going to take your job!”

In this case study, UiPath’s customer explains the continued importance of having ‘a human touch’ in the business:

UiPath doesn’t want its customers to say their AI solves everything. Their goal is to make businesses more efficient and successful—not to jeopardize job security.

OpenAI also uses its case studies to battle employee pushback. One powerful line reads:

“Ironclad’s goal in using AI has always been to help people do more, not to replace them with technology.”

Their message couldn’t be clearer to companies looking for an AI solution, while avoiding conflict on the frontline.

Meanwhile, Reply.io works to overcome potential objections by focusing on where teams are likely to take issue: with the quality of work done by AI relative to a human.

They cover this potential staff objection right in the story, proactively shooting a barrier to adoption out of the sky.

4. Muzzled, not muted: make ‘anonymous’ compelling

In an ideal world, all your customers would let you tell the story of how you helped them succeed. In the real world, customers aren’t always comfortable publicly talking about their AI use, even when they’re thrilled.

Sometimes, they’re constrained by their legal departments. Other times, they make a call that the story’s just too sensitive and decline to participate.

One way around this is to ask customers to share their story anonymously. But can stories be compelling weapons of mass conversion if you don’t mention any names?

Yes, absolutely.

Let’s look at how one of the AI companies we analyzed, C3 AI , produces powerful anonymous studies, like this one :

C3 AI anonymizes this case study, but manages to maintaining most of its impact by:

• Demonstrating the prestige of the customer with a sidebar packed with detail (see ‘About the Company’ in the graphic above)
• Turning anonymity into a plus by sharing metrics the company might not make public if their name was associated with it (ie, $9M in accelerated operating income)
• Including it alongside multiple case studies that are named. Taken together, the anonymous study has as much credibility as named studies.

What more can you do?

You can further retain the power of anonymous studies by:

• Including compelling, in-depth quotes from the people involved, swapping out names for descriptive titles and gender-neutral pronouns.
• Providing as much detail as non-anonymous studies; telling the full story of why the customer chose you, what their journey looked like, and how you made a difference. You don’t need to provide names to demonstrate how you delivered real ROI.

5. Trust me, bro: getting your leads to believe the hype

As a B2B buyer, it’s hard to know whether companies are spinning you a genuine opportunity—or a yarn. Trust is tough to earn and keep.

Case studies immediately cut through the sales spiel and provide concrete proof straight from customers’ mouths.

By nature, case studies are powerful trust builders because they show rather than tell. You can maximize that opportunity by including additional ‘trust’ signals throughout your stories.

Devices such as customer quotes, customer headshots, and customer logos all do the job.

During our analysis of AI case studies, we found most companies use direct customer quotes to foster trust.

In an environment where many AI businesses have an ROI problem, customer quotes are critical. Buyers can hear exactly how other people just like them have benefited from your solutions, proving that your brand is worth buying.

OpenAI uses quotes well to enhance the credibility of their customer stories :

GoGwilt recalled the initial excitement within his legal engineering team as they saw what OpenAI’s models could do for contracting. “There was the first moment of the team saying, ‘Wow, this is producing work at the level of a first-year associate,’” he said.

It’s powerful for a buyer when they hear someone—in a role that resonates with their own—describing the ‘wow’ moment your product provides.

Here’s another example of how customer quotes can build emotion, trust, and buy-in:

The engineers quickly moved on to a prototype—and experienced another “wow” moment. “Integrating GPT-4 into our contract editor and just seeing how seamless and powerful it felt made it pretty easy for us to invest further into productizing and getting it to customers,” GoGwilt added.

Using customer headshots, customer logos, and embedded video are other solid ways to signal trust.

Video testimonials , in particular, increases the impact of customer success stories because viewers see a customer’s emotion and sincerity in real time.

Here’s another great example of this from DataRobot, combining customer testimonial videos with written quotes to hammer home the legitimacy of their story:

Similarly, WorkFusion regularly brings video into their enterprise customer stories , adding depth and legitimacy while sharing the genuine human perspectives of the impact:

6. Picky eaters: how to make AI case studies valuable for time-starved buyers

We’re big believers (supported by data) that prioritizing long-form customer stories on your website improves online visibility and provides proof of your expertise and authority.

But time-starved B2B buyers also need to be catered for.

That means presenting success stories in a scannable (or watchable) way that helps even wandering eyeballs catch the best bits.

Formatting and design devices, including top and sidebars, pull quotes, and images all help readers find proof of your capabilities without reading the entire study.

PROS is one company setting good scannability standards in their customer stories, like this one on Lufthansa :

They use exploded quotes, a snackable company round-up, short paragraphs, and white space to help buyers derive value without reading every word.

Using a hero quote at the outset adds instant credibility, even for scanners.

C3 AI does something unique by providing a visual timeline of events in their Shell customer story . This is a great idea for showing your customers’ journey in a bite-sized and accessible way:

Dynatrace runs a snappy sidebar, complete with a snack sized story round-up:

Dynatrace also uses a bulleted list, ‘Life with Dynatrace’, to highlight the key benefits of partnering with them, without oceans of convoluted narrative:

Boston Dynamics also performs well on scannability. Colorful images of robotic technology and punchy crossheads are used to break up long runs of text:

Shoutout to OpenAI, too, which uses exploded quotes as text breakers to make its formatting friendlier. Rushed readers are constantly rewarded with quotes from happy customers as they scan:

Google DeepMind provides an always on-screen navigation bar to help readers jump to the sections that most interest them:

If you do choose to use a topbar or sidebar in your studies, include impactful metrics in there, like UiPath does:

Because you’ll be drawing buyers to this section with your amazing performance metrics, be sure to include a call to action (the logical next step you want a buyer to take).

And don’t forget to include a CTA at the end of every story, too.

By making studies scannable, you ensure that every reader is covered.

One final observation: if you put the hard work into creating case studies, you will hook in target buyers looking to learn even more. Encourage extra engagement by including ‘keep reading’ or ‘share on social’ options at the end of your stories, just like Boston Dynamics do:

The last word: putting it all together

Now you’ve seen what other leading AI businesses are doing with their case studies, the question is this:

Are YOU ready to suck in more leads and buyers by producing high-impact case studies that prove your ROI and credibility?

Let’s recap some of the findings and recommendations from our analysis of leading AI case studies:

• AI companies can answer buyers’ biggest questions and concerns with well-crafted and well-presented case studies.
• Of the AI companies we analyzed, fewer than 50% had even a single case study case on their website. Scaling your own AI case study production (right now!) will give you an instant advantage.
• Make case studies super-easy for buyers who are looking for solutions like yours to find.
• Use simple, straightforward language to explain your technology, so technical and non-technical decision-makers can understand
• Differentiate your AI business in a noisy marketplace by providing quantifiable metrics. Clearly show the ROI customers get when they work with you.
• Anonymous studies about AI solutions can be as impactful as named studies. When customers know they won’t be named, they often provide mic-drop worthy metrics and personal details about their journey they otherwise wouldn’t feel comfortable sharing.
• Enhance case study credibility with customer quotes, customer imagery, customer logos, and video testimonials.
• Make your AI case studies scannable, so time-starved buyers understand all your capabilities and the results you get for customers without reading every word.

Need help producing written AI case studies or video testimonials?

At Case Study Buddy, we have the knowhow, streamlined processes, and team to make it easy for you.

Contact us today.

Ian Winterton

Based in SW France, Ian has spent 48,000hrs of his life (yes, he worked it out) telling stories about what makes great businesses special.

Ya, you like that? Well, there’s more where that came from!

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How to Write Cybersecurity Case Studies

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Best AI Prompts for Case Studies

Level up your case studies with the best AI prompts from ClickUp. Capture attention, tell compelling stories, and showcase your success with AI-powered writing tools.

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Benefits of AI for Case Studies

Unlock the power of AI for case studies and take your research to the next level with these incredible benefits:

• Accelerate data analysis and interpretation, enabling you to quickly identify trends and patterns within your case study.
• Extract key insights effortlessly from large volumes of data, saving you time and effort in manually analyzing and synthesizing information.
• Enhance accuracy and reliability by eliminating human error and bias in data analysis, ensuring your findings are objective and trustworthy.
• Gain a deeper understanding of complex relationships and correlations within your case study, providing valuable context and supporting robust conclusions.
• Leverage AI-powered natural language processing to uncover hidden insights and sentiments in written case study materials.
• Streamline the process of organizing and categorizing case study data, making it easy to retrieve and reference relevant information.
• Improve collaboration by sharing AI-generated visualizations and reports that effectively communicate your case study findings to stakeholders.

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Best Prompts To Try for Case Studies

Prompt 1: create a compelling case study that showcases the success and impact of our product/service on a specific client or industry: [insert details about the client and their challenges].

Case studies are powerful tools to demonstrate the value and effectiveness of our offerings. With this prompt, you can quickly generate a well-crafted case study that highlights the positive outcomes achieved by our product/service, making it easier to convince potential clients of its benefits.

Prompt 2: Develop a comprehensive framework for conducting effective case studies, including key components, research methods, and data analysis techniques: [Insert details about your industry or specific research needs]

Case studies require a structured approach to ensure accurate and meaningful results. By using this prompt, you can access a well-defined framework that outlines the essential elements of a successful case study, saving you time and effort in planning and executing your research.

Prompt 3: Analyze and interpret the findings of a case study to identify key insights, trends, and actionable recommendations for future business strategies: [Insert details about the case study and its objectives]

After conducting a case study, it's crucial to extract valuable insights that can inform decision-making and drive business growth. With this prompt, you can leverage the power of AI to analyze and interpret the data from your case study, enabling you to uncover hidden patterns, trends, and actionable recommendations that can shape your future strategies.

AI Prompt FAQs for Case Studies

What are some ways an ai tool can assist in generating ai prompts for case studies.

An AI tool can assist in generating AI prompts for case studies by analyzing the content of existing case studies, identifying key information and patterns, and generating relevant and insightful prompts based on that analysis. It can leverage natural language processing techniques and machine learning algorithms to understand the context, extract relevant details, and generate prompts that encourage critical thinking and exploration of different aspects of the case study. This can help researchers, students, and professionals gain deeper insights, facilitate discussion and analysis, and generate valuable recommendations and solutions based on the case study content.

Can an AI tool analyze existing case studies to generate relevant prompts?

Yes, an AI tool can analyze existing case studies to generate relevant prompts by using natural language processing techniques and machine learning algorithms. It can extract key information, identify patterns and themes, and generate prompts that capture the salient points of the case studies. This can help users further explore and understand the case studies, generate new insights, and prompt critical thinking and analysis.

How can an AI tool help in organizing and structuring case study data for efficient analysis and prompt generation?

An AI tool can help in organizing and structuring case study data by automatically extracting relevant information, categorizing data points, and creating a structured database. It can use natural language processing techniques to analyze the text and identify key entities, relationships, and themes within the case study. This structured data can then be used for efficient analysis and prompt generation, enabling the AI tool to generate relevant and insightful prompts based on the specific case study data. This streamlines the analysis process and ensures that important information is not overlooked, leading to more efficient and effective decision-making.

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All the space you need to spotlight your business or product’s value including success metrics in Tome’s comprehensive Case Study template.

About this template

Capture the attention of potential clients with Tome’s Case Study template, designed to highlight the heavy-hitting impact your product had. Create a compelling narrative with a look at the successful metrics and hard numbers you drove in this case study alongside eye-grabbing headlines. Fill in details about the challenge you faced, key info on the target audience or customer base, and the solution you provided with the product built. There is ample space for punchy headlines and images to further illustrate your business and/or product.

Template outline

• Checkmark Overview
• Checkmark Highlight Statistics
• Checkmark Challenge
• Checkmark Solution
• Checkmark Result
• Checkmark Text-Only Layout
• Checkmark Image-Only Layout

Tell a powerful story

• Double Sparkle (tome icon) Editable with AI
• Text (tome icon) Beautiful typography
• Double Sparkle (tome icon) AI layout generation
• Page Portrait (tome icon) Narrative Guidance
• Multiple Pages (tome icon) Automatic mobile layout
• Reference (tome icon) AI reference sourcing
• Share (tome icon) Share or link anywhere
• Download (tome icon) Downloadable as a PDF
• Add Person (tome icon) Real-time collaboration

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Expert tips, what is a case study.

A case study is an in-depth look at an individual or organization. Often they’re used to show the value of a product or service with real-life examples. Your company might walk potential customers through a breakdown of your current client’s success with a particular product. That can be a compelling way to market your products and grow your business.

Case studies are often found on company websites or white papers—or presented directly to potential clients. The key is creating an easily digestible document or presentation that succinctly conveys the value of your product or service. A case study template is a quick way to craft a compelling case study that’s ready to show to clients.

How long should a case study be?

Often a case study is a written document. This is the case when it’s embedded in a white paper or another promotional document. The traditional length for these case studies is 500–1,000 words. That length can provide enough detail without overwhelming the reader.

However, your case studies don’t need to be a full-length document. Instead, consider creating a visual presentation. This format can help you create a powerful narrative that’s going to stick with your audience. After all, images and numbers are more memorable. Utilizing them within your case study can help you capture the value you’re trying to show. Try this case study template to see how compelling your case study can become.

How to write a case study

Let’s dive into how to create your own case study using this Tome template.

Write a compelling headline.

• Start with a headline that immediately tells your audience exactly what they can expect. Think of it like an email subject line. You want to convey your main message in only a sentence—that way your readers understand exactly what’s inside even if they read no further. This case study template draws attention to the headline and makes it front and center.

Give an overview of the case study.

• Next up is the overview slide. This section is an opportunity to briefly summarize the main point of the entire case study. The overview is also your chance to introduce some key stats. Adding numbers is a powerful way to show the concrete value of your products. Potential buyers can see exactly what benefits the case study client experienced.
• The Tome case study template provides you with spaces for a brief paragraph, some key numbers, and context for the stats. It’s designed to give your clients a snapshot of the entire presentation.

Introduce the client.

• After setting the stage, it’s time to explain who the client in the case study is. Outline what they do and their target customers. You might even outline the demographics of their audience. Explain some key characteristics of their business strategy and how they were performing prior to working with your company. The Tome template provides an easy way to showcase your star customer.

Present the problem.

• Your products or services are designed specifically to solve problems. No case study is complete without explaining the challenge your client faced. That perfectly sets you up to illustrate exactly how your company can solve that problem.

Detail the solution.

• Once you’ve set everything up, it’s time to address how your product met the client’s specific needs. Outline your product details and how the customer utilized each one in their own business strategy. With Tome, you can add AI-generated images that make this section more impactful.

Show the results.

• Arguably the most important part of the entire case study is the results. This slide is where you sell your product. It’s where your audience sees how your product solves real-world problems. A well-made results slide can motivate your potential buyer to try your product because they can visualize what you can do for them. The Tome template makes this section the centerpiece of your entire presentation.

End with a call to action.

• Finally, give your audience something to do. After seeing the results, they’re likely motivated. Use that momentum and drive them to convert. You might encourage them to try a demo or to get in touch with your sales team. The Tome template provides an easy way to include your team’s information.

Transform your case study with AI

A well-designed case study can be a powerful tool to build your business and sell your services. It’s a way to show a potential buyer exactly what your team offers and the results they might expect. The key is creating an effective case study presentation. To save you time, Tome provides a case study template. This template gives you these advantages:

• Powerful AI that generates text and images
• Pre-built slides beautiful typography options
• Real-time collaboration and sharing capabilities

Improve your case studies with AI from Tome. Try the template.

Craft your next great idea.

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Free Online Case Study Generator

Captivate your clients by highlighting your company's solutions, and get valuable insights to improve your business strategy with Venngage's case study templates.

Create a case study report that looks compelling and converts leads without any design experience. Showcase real success stories and challenges that your products and services helped to solve. Join over 40,000 businesses in using Venngage as a marketing solution.

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Customize Venngage's Case Study Templates

• Choose your favorite design from the templates library. We have an extended gallery of layouts you can work on. Just organize your qualitative and quantitative data, add customizable graphs, icons and images, set your brand identity, and start creating a comprehensive case study report.
• Use illustrations, icons and photos: Case studies ought to be visually engaging and inviting. That's why Venngage lets you access 40K+ icons and beautiful illustrations, impressive stock photos, and customizable charts and graphs.
• Create branded content without any design help: Branded case studies help your brand really stand out. They're an excellent form of lead generation and branding building. Showcase your expertise and real-life success stories that will win over your readers.

Collaborate with team members and stakeholders in real-time

• Replace online meetings, email threads, chats, or messages by simply clicking "Share" from the editor to send a private link to your peers.
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To start using Venngage's free case study creator, sign up for free using your email, Facebook or Gmail account. Once you create an account you can choose which template to get started with and start editing in the online editor.

How do I write a case study?

The easiest way to write a case study is to get started with a template. This provides you with a pre-set cover page and table of contents; a variety of page layouts to work with; and a picture of how to organize content, add designs and break up text. A case study is not a technical document that needs to be structured in a specific and formal way. You can get creative but focus on making your content clear and easy to understand.

What's an example of a case study?

Case studies, in business and marketing, are stories of success achieved through a product or service. The product can even be a strategy or framework that was pioneered by an industry thought leader. Many brands publish case studies on their website to share how their clients see tremendous value in using their products. The case study essentially chronicles the entire client journey from having a problem, to finding the solution, and the outcome of that solution.

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AI Case Study Generator Benefits

Time-saving solution.

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Efficient Content Creation

AI writing tools are revolutionizing content creation by providing efficient and accurate solutions for generating high-quality content. These writing tools leverage advanced algorithms to streamline the writing process, saving time and effort for content creators. With the help of AI tools for writing, professionals can effortlessly craft compelling case studies, reports, and articles with unparalleled speed and accuracy.

By harnessing the power of AI tools for writing, individuals can significantly enhance their productivity and meet tight deadlines without compromising the quality of their work. The seamless integration of AI technology into writing tools has redefined the content creation landscape, offering a game-changing solution for those seeking an efficient and reliable writing experience.

Enhanced Creativity and Accuracy

The best AI writing tools empower users to unleash their creativity while ensuring unparalleled accuracy in their content. These tools provide valuable suggestions, intelligent insights, and real-time feedback to refine and enhance the quality of the generated case studies. With the assistance of AI-driven writing tools, individuals can explore innovative approaches, refine their writing style, and produce engaging case studies that resonate with their audience.

Furthermore, AI tools for writing offer advanced grammar and spell-check features, eliminating errors and enhancing the overall accuracy of the content. The seamless integration of AI technology into writing tools not only enhances creativity but also ensures that the generated case studies are polished and error-free, elevating the professional standard of the content.

Streamlined Research and Analysis

AI tools for writing streamline the research and analysis phase of content creation, providing comprehensive insights and data-driven information for compelling case studies. These tools enable users to access a vast repository of information, statistics, and case study examples, empowering them to conduct in-depth research and analysis seamlessly. By leveraging the capabilities of AI-powered writing tools, individuals can expedite the data collection process, identify relevant trends, and incorporate valuable insights into their case studies.

The integration of AI technology equips writers with the necessary tools to streamline the research process, enhance the credibility of their case studies, and deliver well-informed content that resonates with their audience. As a result, users can leverage AI writing tools to elevate the standard of their case studies through thorough research and insightful analysis, setting new benchmarks for content creation.

Effective Utilization of AI Writing Tools

Maximizing productivity.

When utilizing the best writing tools, leverage the advanced features and capabilities to maximize productivity. By exploring the full potential of AI tools for writing, individuals can expedite the content creation process, streamline workflow, and accomplish more in less time. Embracing the efficiency of AI writing tools can significantly enhance productivity and overall output.

Refining Writing Style

Utilize AI tools to refine your writing style and enhance the quality of your content. These tools offer valuable suggestions and insights to help individuals refine their writing style, incorporate engaging elements, and create compelling case studies that captivate the audience. Embracing the capabilities of AI writing tools can elevate the professional standard of your content.

Ensuring Accuracy

Benefit from the advanced grammar and spell-check features of AI writing tools to ensure the accuracy of your case studies. These tools provide real-time feedback, identify errors, and enhance the overall precision of the content. Leveraging AI technology ensures that your case studies are polished and error-free, enhancing their credibility and professional appeal.

Incorporating Data-Driven Insights

When using AI tools for writing, integrate data-driven insights and statistics into your case studies. These tools offer seamless access to comprehensive research and analysis, empowering individuals to incorporate valuable data and relevant trends into their content. Leveraging the capabilities of AI writing tools ensures that your case studies are well-informed and resonate with your audience.

Embracing Innovation

Embrace the innovative features of AI writing tools to infuse creativity into your case studies. These tools offer intelligent suggestions, creative prompts, and innovative approaches to inspire compelling content creation. By embracing the innovation of AI tools for writing, individuals can explore new horizons, elevate their writing style, and deliver captivating case studies that stand out.

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AI Case Study Generator Examples

Explore the limitless possibilities of generating impactful case studies with AI writing tools. Discover how AI tools for writing can transform your approach to creating compelling case studies and unlock new dimensions of creativity and efficiency.

Craft a persuasive marketing case study that showcases the impact of a successful campaign and highlights key performance metrics.

Crafting a persuasive marketing case study that effectively showcases the impact of a successful campaign and highlights key performance metrics requires a strategic blend of storytelling and data presentation. With the assistance of AI writing tools, I can seamlessly weave compelling narratives around the campaign's success, leveraging real-time data insights to substantiate its impact. By incorporating AI-generated content, the case study will resonate with the target audience and effectively communicate the campaign's success, ultimately reinforcing its significance in the marketing landscape.

Utilizing AI tools for writing, I can integrate data-driven insights and statistics to demonstrate the campaign's performance metrics, illustrating its influence and effectiveness in captivating the audience. These tools enable me to streamline the research process, identify key trends, and present compelling evidence that substantiates the success of the marketing campaign. Leveraging AI-generated content, the marketing case study will exemplify the power of data-driven storytelling, reinforcing the campaign's impact and efficacy.

Develop a technology case study that highlights the innovation behind a groundbreaking tech solution and its transformative impact on businesses.

Developing a technology case study that effectively highlights the innovation behind a groundbreaking tech solution and its transformative impact on businesses requires a meticulous exploration of its features, benefits, and industry implications. With the aid of AI writing tools, I can seamlessly articulate the revolutionary aspects of the tech solution, infusing the case study with impactful insights and industry-specific analysis. By leveraging the capabilities of AI tools for writing, I can craft a compelling narrative that showcases the tech solution's potential to drive transformative changes in the business landscape, resonating with stakeholders and industry professionals.

By integrating AI-generated content, the technology case study will embody the essence of innovation and technological advancement, presenting a comprehensive overview of the solution's capabilities and its potential to revolutionize business operations. These tools empower me to incorporate data-driven evidence and industry trends, substantiating the transformative impact of the tech solution and positioning it as a game-changer in the technology sector.

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40 Detailed Artificial Intelligence Case Studies [2024]

In this dynamic era of technological advancements, Artificial Intelligence (AI) emerges as a pivotal force, reshaping the way industries operate and charting new courses for business innovation. This article presents an in-depth exploration of 40 diverse and compelling AI case studies from across the globe. Each case study offers a deep dive into the challenges faced by companies, the AI-driven solutions implemented, their substantial impacts, and the valuable lessons learned. From healthcare and finance to transportation and retail, these stories highlight AI’s transformative power in solving complex problems, optimizing processes, and driving growth, offering insightful glimpses into the potential and versatility of AI in shaping our world.

Related: How to Become an AI Thought Leader?

1. IBM Watson Health: Revolutionizing Patient Care with AI

Task/Conflict: The healthcare industry faces challenges in handling vast amounts of patient data, accurately diagnosing diseases, and creating effective treatment plans. IBM Watson Health aimed to address these issues by harnessing AI to process and analyze complex medical information, thus improving the accuracy and efficiency of patient care.

Solution: Utilizing the cognitive computing capabilities of IBM Watson, this solution involves analyzing large volumes of medical records, research papers, and clinical trial data. The system uses natural language processing to understand and process medical jargon, making sense of unstructured data to aid medical professionals in diagnosing and treating patients.

Overall Impact:

• Enhanced accuracy in patient diagnosis and treatment recommendations.
• Significant improvement in personalized healthcare services.

Key Learnings:

• AI can complement medical professionals’ expertise, leading to better healthcare outcomes.
• The integration of AI in healthcare can lead to significant advancements in personalized medicine.

2. Google DeepMind’s AlphaFold: Unraveling the Mysteries of Protein Folding

Task/Conflict: The scientific community has long grappled with the protein folding problem – understanding how a protein’s amino acid sequence determines its 3D structure. Solving this problem is crucial for drug discovery and understanding diseases at a molecular level, yet it remained a formidable challenge due to the complexity of biological structures.

Solution: AlphaFold, developed by Google DeepMind, is an AI model trained on vast datasets of known protein structures. It assesses the distances and angles between amino acids to predict how a protein folds, outperforming existing methods in terms of speed and accuracy. This breakthrough represents a major advancement in computational biology.

• Significant acceleration in drug discovery and disease understanding.
• Set a new benchmark for computational methods in biology.
• AI’s predictive power can solve complex biological problems.
• The application of AI in scientific research can lead to groundbreaking discoveries.

3. Amazon: Transforming Supply Chain Management through AI

Task/Conflict: Managing a global supply chain involves complex challenges like predicting product demand, optimizing inventory levels, and streamlining logistics. Amazon faced the task of efficiently managing its massive inventory while minimizing costs and meeting customer demands promptly.

Solution: Amazon employs sophisticated AI algorithms for predictive inventory management, which forecast product demand based on various factors like buying trends, seasonality, and market changes. This system allows for real-time adjustments, adapting swiftly to changing market dynamics.

• Reduced operational costs through efficient inventory management.
• Improved customer satisfaction with timely deliveries and availability.
• AI can significantly enhance supply chain efficiency and responsiveness.
• Predictive analytics in inventory management leads to reduced waste and cost savings.

4. Tesla’s Autonomous Vehicles: Driving the Future of Transportation

Task/Conflict: The development of autonomous vehicles represents a major technological and safety challenge. Tesla aimed to create self-driving cars that are not only reliable and safe but also capable of navigating complex traffic conditions without human intervention.

Solution: Tesla’s solution involves advanced AI and machine learning algorithms that process data from various sensors and cameras to understand and navigate the driving environment. Continuous learning from real-world driving data allows the system to improve over time, making autonomous driving safer and more efficient.

• Leadership in the autonomous vehicle sector, enhancing road safety.
• Continuous improvements in self-driving technology through AI-driven data analysis.
• Continuous data analysis is key to advancing autonomous driving technologies.
• AI can significantly improve road safety and driving efficiency.

Related: High-Paying AI Career Options

5. Zara: Fashioning the Future with AI in Retail

Task/Conflict: In the fast-paced fashion industry, predicting trends and managing inventory efficiently are critical for success. Zara faced the challenge of quickly adapting to changing fashion trends while avoiding overstock and meeting consumer demand.

Solution: Zara employs AI algorithms to analyze fashion trends, customer preferences, and sales data. The AI system also assists in managing inventory, ensuring that popular items are restocked promptly and that stores are not overburdened with unsold products. This approach optimizes both production and distribution.

• Increased sales and profitability through optimized inventory.
• Enhanced customer satisfaction by aligning products with current trends.
• AI can accurately predict consumer behavior and trends.
• Effective inventory management through AI can significantly impact business success.

6. Netflix: Personalizing Entertainment with AI

Task/Conflict: In the competitive streaming industry, providing a personalized user experience is key to retaining subscribers. Netflix needed to recommend relevant content to each user from its vast library, ensuring that users remained engaged and satisfied.

Solution: Netflix developed an advanced AI-driven recommendation engine that analyzes individual viewing habits, ratings, and preferences. This personalized approach keeps users engaged, as they are more likely to find content that interests them, enhancing their overall viewing experience.

• Increased viewer engagement and longer watch times.
• Higher subscription retention rates due to personalized content.
• Personalized recommendations significantly enhance user experience.
• AI-driven content curation is essential for success in digital entertainment.

7. Airbus: Elevating Aircraft Maintenance with AI

Task/Conflict: Aircraft maintenance is crucial for ensuring flight safety and operational efficiency. Airbus faced the challenge of predicting maintenance needs to prevent equipment failures and reduce downtime, which is critical in the aviation industry.

Solution: Airbus implemented AI algorithms for predictive maintenance, analyzing data from aircraft sensors to identify potential issues before they lead to failures. This system assesses the condition of various components, predicting when maintenance is needed. The solution not only enhances safety but also optimizes maintenance schedules, reducing unnecessary inspections and downtime.

• Decreased maintenance costs and reduced aircraft downtime.
• Improved safety with proactive maintenance measures.
• AI can predict and prevent potential equipment failures.
• Predictive maintenance is essential for operational efficiency and safety in aviation.

8. American Express: Securing Transactions with AI

Task/Conflict: Credit card fraud is a significant issue in the financial sector, leading to substantial losses and undermining customer trust. American Express needed an efficient way to detect and prevent fraudulent transactions in real-time.

Solution: American Express utilizes machine learning models to analyze transaction data. These models identify unusual patterns and behaviors indicative of fraud. By constant learning from refined data, the system becomes increasingly accurate in detecting fraudulent activities, providing real-time alerts and preventing unauthorized transactions.

• Minimized financial losses due to reduced fraudulent activities.
• Enhanced customer trust and security in financial transactions.
• Machine learning is highly effective in fraud detection.
• Real-time data analysis is crucial for preventing financial fraud.

Related: Is AI a Good Career Option for Women?

9. Stitch Fix: Tailoring the Future of Fashion Retail

Task/Conflict: In the competitive fashion retail industry, providing a personalized shopping experience is key to customer satisfaction and business growth. Stitch Fix aimed to offer customized clothing selections to each customer, based on their unique preferences and style.

Solution: Stitch Fix uses AI and algorithms analyze customer feedback, style preferences, and purchase history to recommend clothing items. This personalized approach is complemented by human stylists, ensuring that each customer receives a tailored selection that aligns with their individual style.

• Increased customer satisfaction through personalized styling services.
• Business growth driven by a unique, AI-enhanced shopping experience.
• AI combined with human judgment can create highly effective personalization.
• Tailoring customer experiences using AI leads to increased loyalty and business success.

10. Baidu: Breaking Language Barriers with Voice Recognition

Task/Conflict: Voice recognition technology faces the challenge of accurately understanding and processing speech in various languages and accents. Baidu aimed to enhance its voice recognition capabilities to provide more accurate and user-friendly interactions in multiple languages.

Solution: Baidu employs deep learning algorithms for voice and speech recognition, training its system on a diverse range of languages and dialects. This approach allows for more accurate recognition of speech patterns, enabling the technology to understand and respond to voice commands more effectively. The system continuously improves as it processes more voice data, making technology more accessible to users worldwide.

• Enhanced user interaction with technology in multiple languages.
• Reduced language barriers in voice-activated services and devices.
• AI can effectively bridge language gaps in technology.
• Continuous learning from diverse data sets is key to improving voice recognition.

11. JP Morgan: Revolutionizing Legal Document Analysis with AI

Task/Conflict: Analyzing legal documents, such as contracts, is a time-consuming and error-prone process. JP Morgan sought to streamline this process, reducing the time and effort required while increasing accuracy.

Solution: JP Morgan implemented an AI-powered tool, COIN (Contract Intelligence), to analyze legal documents quickly and accurately. COIN uses NLP to interpret and extract relevant information from contracts, significantly reducing the time required for document review.

• Dramatic reduction in time required for legal document analysis.
• Increased accuracy and reduced human error in contract interpretation.
• AI can efficiently handle large volumes of data, offering speed and accuracy.
• Automation in legal processes can significantly enhance operational efficiency.

12. Microsoft: AI for Accessibility

Task/Conflict: People with disabilities often face challenges in accessing technology. Microsoft aimed to create AI-driven tools to enhance accessibility, especially for individuals with visual, hearing, or cognitive impairments.

Solution: Microsoft developed a range of AI-powered tools including applications for voice recognition, visual assistance, and cognitive support, making technology more accessible and user-friendly. For instance, Seeing AI, an app developed by Microsoft, helps visually impaired users to understand their surroundings by describing people, texts, and objects.

• Improved accessibility and independence for people with disabilities.
• Creation of more inclusive technology solutions.
• AI can significantly contribute to making technology accessible for all.
• Developing inclusive technology is essential for societal progress.

Related: How to get an Internship in AI?

13. Alibaba’s City Brain: Revolutionizing Urban Traffic Management

Task/Conflict: Urban traffic congestion is a major challenge in many cities, leading to inefficiencies and environmental concerns. Alibaba’s City Brain project aimed to address this issue by using AI to optimize traffic flow and improve public transportation in urban areas.

Solution: City Brain uses AI to analyze real-time data from traffic cameras, sensors, and GPS systems. It processes this information to predict traffic patterns and optimize traffic light timing, reducing congestion. The system also provides data-driven insights for urban planning and emergency response coordination, enhancing overall city management.

• Significant reduction in traffic congestion and improved urban transportation.
• Enhanced efficiency in city management and emergency response.
• AI can effectively manage complex urban systems.
• Data-driven solutions are key to improving urban living conditions.

14. Deep 6 AI: Accelerating Clinical Trials with Artificial Intelligence

Task/Conflict: Recruiting suitable patients for clinical trials is often a slow and cumbersome process, hindering medical research. Deep 6 AI sought to accelerate this process by quickly identifying eligible participants from a vast pool of patient data.

Solution: Deep 6 AI employs AI to sift through extensive medical records, identifying potential trial participants based on specific criteria. The system analyzes structured and unstructured data, including doctor’s notes and diagnostic reports, to find matches for clinical trials. This approach significantly speeds up the recruitment process, enabling faster trial completions and advancements in medical research.

• Quicker recruitment for clinical trials, leading to faster research progress.
• Enhanced efficiency in medical research and development.
• AI can streamline the patient selection process for clinical trials.
• Efficient recruitment is crucial for the advancement of medical research.

15. NVIDIA: Revolutionizing Gaming Graphics with AI

Task/Conflict: Enhancing the realism and performance of gaming graphics is a continuous challenge in the gaming industry. NVIDIA aimed to revolutionize gaming visuals by leveraging AI to create more realistic and immersive gaming experiences.

Solution: NVIDIA’s AI-driven graphic processing technologies, such as ray tracing and deep learning super sampling (DLSS), provide highly realistic and detailed graphics. These technologies use AI to render images more efficiently, improving game performance without compromising on visual quality. This innovation sets new standards in gaming graphics, making games more lifelike and engaging.

• Elevated gaming experiences with state-of-the-art graphics.
• Set new industry standards for graphic realism and performance.
• AI can significantly enhance creative industries, like gaming.
• Balancing performance and visual quality is key to gaming innovation.

16. Palantir: Mastering Data Integration and Analysis with AI

Task/Conflict: Integrating and analyzing large-scale, diverse datasets is a complex task, essential for informed decision-making in various sectors. Palantir Technologies faced the challenge of making sense of vast amounts of data to provide actionable insights for businesses and governments.

Solution: Palantir developed AI-powered platforms that integrate data from multiple sources, providing a comprehensive view of complex systems. These platforms use machine learning to analyze data, uncover patterns, and predict outcomes, assisting in strategic decision-making. This solution enables users to make informed decisions in real-time, based on a holistic understanding of their data.

• Enhanced decision-making capabilities in complex environments.
• Greater insights and efficiency in data analysis across sectors.
• Effective data integration is crucial for comprehensive analysis.
• AI-driven insights are essential for strategic decision-making.

Related: Surprising AI Facts & Statistics

17. Blue River Technology: Sowing the Seeds of AI in Agriculture

Task/Conflict: The agriculture industry faces challenges in increasing efficiency and sustainability while minimizing environmental impact. Blue River Technology aimed to enhance agricultural practices by using AI to make farming more precise and efficient.

Solution: Blue River Technology developed AI-driven agricultural robots that perform tasks like precise planting and weed control. These robots use ML to identify plants and make real-time decisions, such as applying herbicides only to weeds. This targeted approach reduces chemical usage and promotes sustainable farming practices, leading to better crop yields and environmental conservation.

• Significant reduction in chemical usage in farming.
• Increased crop yields through precision agriculture.
• AI can contribute significantly to sustainable agricultural practices.
• Precision farming is key to balancing productivity and environmental conservation.

18. Salesforce: Enhancing Customer Relationship Management with AI

Task/Conflict: In the realm of customer relationship management (CRM), personalizing interactions and gaining insights into customer behavior are crucial for business success. Salesforce aimed to enhance CRM capabilities by integrating AI to provide personalized customer experiences and actionable insights.

Solution: Salesforce incorporates AI-powered tools into its CRM platform, enabling businesses to personalize customer interactions, automate responses, and predict customer needs. These tools analyze customer data, providing insights that help businesses tailor their strategies and communications. The AI integration not only improves customer engagement but also streamlines sales and marketing efforts.

• Improved customer engagement and satisfaction.
• Increased business growth through tailored marketing and sales strategies.
• AI-driven personalization is key to successful customer relationship management.
• Leveraging AI for data insights can significantly impact business growth.

19. OpenAI: Transforming Natural Language Processing

Task/Conflict: OpenAI aimed to advance NLP by developing models capable of generating coherent and contextually relevant text, opening new possibilities in AI-human interaction.

Solution: OpenAI developed the Generative Pre-trained Transformer (GPT) models, which use deep learning to generate text that closely mimics human language. These models are trained on vast datasets, enabling them to understand context and generate responses in a conversational and coherent manner.

• Pioneered advancements in natural language understanding and generation.
• Expanded the possibilities for AI applications in communication.
• AI’s ability to mimic human language has vast potential applications.
• Advancements in NLP are crucial for improving AI-human interactions.

20. Siemens: Pioneering Industrial Automation with AI

Task/Conflict: Industrial automation seeks to improve productivity and efficiency in manufacturing processes. Siemens faced the challenge of optimizing these processes using AI to reduce downtime and enhance output quality.

Solution: Siemens employs AI-driven solutions for predictive maintenance and process optimization to reduce downtime in industrial settings. Additionally, AI optimizes manufacturing processes, ensuring quality and efficiency.

• Increased productivity and reduced downtime in industrial operations.
• Enhanced quality and efficiency in manufacturing processes.
• AI is a key driver in the advancement of industrial automation.
• Predictive analytics are crucial for maintaining efficiency in manufacturing.

Related: Top Books for Learning AI

21. Ford: Driving Safety Innovation with AI

Task/Conflict: Enhancing automotive safety and providing effective driver assistance systems are critical challenges in the auto industry. Ford aimed to leverage AI to improve vehicle safety features and assist drivers in real-time decision-making.

Solution: Ford integrated AI into its advanced driver assistance systems (ADAS) to provide features like adaptive cruise control, lane-keeping assistance, and collision avoidance. These systems use sensors and cameras to gather data, which AI processes to make split-second decisions that enhance driver safety and vehicle performance.

• Improved safety features in vehicles, minimizing accidents and improving driver confidence.
• Enhanced driving experience with intelligent assistance features.
• AI can highly enhance safety in the automotive industry.
• Real-time data processing and decision-making are essential for effective driver assistance systems.

22. HSBC: Enhancing Banking Security with AI

Task/Conflict: As financial transactions increasingly move online, banks face heightened risks of fraud and cybersecurity threats. HSBC needed to bolster its protective measures to secure user data and prevent scam.

Solution: HSBC employed AI-driven security systems to observe transactions and identify suspicious activities. The AI models analyze patterns in customer behavior and flag anomalies that could indicate fraudulent actions, allowing for immediate intervention. This helps in minimizing the risk of financial losses and protects customer trust.

• Strengthened security measures and reduced incidence of fraud.
• Maintained high levels of customer trust and satisfaction.
• AI is critical in enhancing security in the banking sector.
• Proactive fraud detection can prevent significant financial losses.

23. Unilever: Optimizing Supply Chain with AI

Task/Conflict: Managing a global supply chain involves complexities related to logistics, demand forecasting, and sustainability practices. Unilever sought to enhance its supply chain efficiency while promoting sustainability.

Solution: Unilever implemented AI to optimize its supply chain operations, from raw material sourcing to distribution. AI algorithms analyze data to forecast demand, improve inventory levels, and minimize waste. Additionally, AI helps in selecting sustainable practices and suppliers, aligning with Unilever’s commitment to environmental responsibility.

• Enhanced efficiency and reduced costs in supply chain operations.
• Better sustainability practices, reducing environmental impact.
• AI can highly optimize supply chain management.
• Integrating AI with sustainability initiatives can lead to environmentally responsible operations.

24. Spotify: Personalizing Music Experience with AI

Task/Conflict: In the competitive music streaming industry, providing a personalized listening experience is crucial for user engagement and retention. Spotify needed to tailor music recommendations to individual tastes and preferences.

Solution: Spotify utilizes AI-driven algorithms to analyze user listening habits, preferences, and contextual data to recommend music tracks and playlists. This personalization ensures that users are continually engaged and discover new music that aligns with their tastes, enhancing their overall listening experience.

• Increased customer engagement and time spent on the platform.
• Higher user satisfaction and subscription retention rates.
• Personalized content delivery is key to user retention in digital entertainment.
• AI-driven recommendations significantly enhance user experience.

Related: How can AI be used in Instagram Marketing?

25. Walmart: Revolutionizing Retail with AI

Task/Conflict: Retail giants like Walmart face challenges in inventory management and providing a high-quality customer service experience. Walmart aimed to use AI to optimize these areas and enhance overall operational efficacy.

Solution: Walmart deployed AI technologies across its stores to manage inventory levels effectively and enhance customer service. AI systems predict product demand to optimize stock levels, while AI-driven robots assist in inventory management and customer service, such as guiding customers in stores and handling queries.

• Improved inventory management, reducing overstock and shortages.
• Enhanced customer service experience in stores.
• AI can streamline retail operations significantly.
• Enhanced customer service through AI leads to better customer satisfaction.

26. Roche: Innovating Drug Discovery with AI

Task/Conflict: The pharmaceutical industry faces significant challenges in drug discovery, requiring vast investments of time and resources. Roche aimed to utilize AI to streamline the drug development process and enhance the discovery of new therapeutics.

Solution: Roche implemented AI to analyze medical data and simulate drug interactions, speeding up the drug discovery process. AI models predict the effectiveness of compounds and identify potential candidates for further testing, significantly minimizing the time and cost related with traditional drug development procedures.

• Accelerated drug discovery processes, bringing new treatments to market faster.
• Reduced costs and increased efficiency in pharmaceutical research.
• AI can greatly accelerate the drug discovery process.
• Cost-effective and efficient drug development is possible with AI integration.

27. IKEA: Enhancing Customer Experience with AI

Task/Conflict: In the competitive home furnishings market, enhancing the customer shopping experience is crucial for success. IKEA aimed to use AI to provide innovative design tools and improve customer interaction.

Solution: IKEA introduced AI-powered tools such as virtual reality apps that allow consumers to visualize furniture before buying. These tools help customers make more informed decisions and enhance their shopping experience. Additionally, AI chatbots assist with customer service inquiries, providing timely and effective support.

• Improved customer decision-making and satisfaction with interactive tools.
• Enhanced efficiency in customer service.
• AI can transform the retail experience by providing innovative customer interaction tools.
• Effective customer support through AI can enhance brand loyalty and satisfaction.

28. General Electric: Optimizing Energy Production with AI

Task/Conflict: Managing energy production efficiently while predicting and mitigating potential issues is crucial for energy companies. General Electric (GE) aimed to improve the efficiency and reliability of its energy production facilities using AI.

Solution: GE integrated AI into its energy management systems to enhance power generation and distribution. AI algorithms predict maintenance needs and optimize energy production, ensuring efficient operation and reducing downtime. This predictive maintenance approach saves costs and enhances the reliability of energy production.

• Increased efficiency in energy production and distribution.
• Reduced operational costs and enhanced system reliability.
• Predictive maintenance is crucial for cost-effective and efficient energy management.
• AI can significantly improve the predictability and efficiency of energy production.

Related: Use of AI in Sales

29. L’Oréal: Transforming Beauty with AI

Task/Conflict: Personalization in the beauty industry enhances customer satisfaction and brand loyalty. L’Oréal aimed to personalize beauty products and experiences for its diverse customer base using AI.

Solution: L’Oréal leverages AI to assess consumer data and provide personalized product suggestions. AI-driven tools assess skin types and preferences to recommend the best skincare and makeup products. Additionally, virtual try-on apps powered by AI allow customers to see how products would look before making a purchase.

• Enhanced personalization of beauty products and experiences.
• Increased customer engagement and satisfaction.
• AI can provide highly personalized experiences in the beauty industry.
• Data-driven personalization enhances customer satisfaction and brand loyalty.

30. The Weather Company: AI-Predicting Weather Patterns

Task/Conflict: Accurate weather prediction is vital for planning and safety in various sectors. The Weather Company aimed to enhance the accuracy of weather forecasts and provide timely weather-related information using AI.

Solution: The Weather Company employs AI to analyze data from weather sensors, satellites, and historical weather patterns. AI models improve the accuracy of weather predictions by identifying trends and anomalies. These enhanced forecasts help in better planning and preparedness for weather events, benefiting industries like agriculture, transportation, and public safety.

• Improved accuracy in weather forecasting.
• Better preparedness and planning for adverse weather conditions.
• AI can enhance the precision of meteorological predictions.
• Accurate weather forecasting is crucial for safety and operational planning in multiple sectors.

31. Cisco: Securing Networks with AI

Task/Conflict: As cyber threats evolve and become more sophisticated, maintaining robust network security is crucial for businesses. Cisco aimed to leverage AI to enhance its cybersecurity measures, detecting and responding to threats more efficiently.

Solution: Cisco integrated AI into its cybersecurity framework to analyze network traffic and identify unusual patterns indicative of cyber threats. This AI-driven approach allows for real-time threat detection and automated responses, thus improving the speed and efficacy of security measures.

• Strengthened network security with faster threat detection.
• Reduced manual intervention by automating threat responses.
• AI is essential in modern cybersecurity for real-time threat detection.
• Automating responses can significantly enhance network security protocols.

32. Adidas: AI in Sports Apparel Manufacturing

Task/Conflict: To maintain competitive advantage in the fast-paced sports apparel market, Adidas sought to innovate its manufacturing processes by incorporating AI to improve efficiency and product quality.

Solution: Adidas employed AI-driven robotics and automation technologies in its factories to streamline the production process. These AI systems optimize manufacturing workflows, enhance quality control, and reduce waste by precisely cutting fabrics and assembling materials according to exact specifications.

• Increased production efficacy and reduced waste.
• Enhanced consistency and quality of sports apparel.
• AI-driven automation can revolutionize manufacturing processes.
• Precision and efficiency in production lead to higher product quality and sustainability.

Related: How can AI be used in Disaster Management?

33. KLM Royal Dutch Airlines: AI-Enhanced Customer Service

Task/Conflict: Enhancing the customer service experience in the airline industry is crucial for customer satisfaction and loyalty. KLM aimed to provide immediate and effective assistance to its customers by integrating AI into their service channels.

Solution: KLM introduced an AI-powered chatbot, which provides 24/7 customer service across multiple languages. The chatbot handles inquiries about flight statuses, bookings, and baggage policies, offering quick and accurate responses. This AI solution helps manage customer interactions efficiently, especially during high-volume periods.

• Improved customer service efficiency and responsiveness.
• Increased customer satisfaction through accessible and timely support.
• AI chatbots can highly improve user service in high-demand industries.
• Effective communication through AI leads to better customer engagement and loyalty.

34. Novartis: AI in Drug Formulation

Task/Conflict: The pharmaceutical industry requires rapid development and formulation of new drugs to address emerging health challenges. Novartis aimed to use AI to expedite the drug formulation process, making it faster and more efficient.

Solution: Novartis applied AI to simulate and predict how different formulations might behave, speeding up the lab testing phase. AI algorithms analyze vast amounts of data to predict the stability and efficacy of drug formulations, allowing researchers to focus on the most promising candidates.

• Accelerated drug formulation and reduced time to market.
• Improved efficacy and stability of pharmaceutical products.
• AI can significantly shorten the drug development lifecycle.
• Predictive analytics in pharmaceutical research can lead to more effective treatments.

35. Shell: Optimizing Energy Resources with AI

Task/Conflict: In the energy sector, optimizing exploration and production processes for efficiency and sustainability is crucial. Shell sought to harness AI to enhance its oil and gas operations, making them more efficient and less environmentally impactful.

Solution: Shell implemented AI to analyze geological data and predict drilling outcomes, optimizing resource extraction. AI algorithms also adjust production processes in real time, improving operational proficiency and minimizing waste.

• Improved efficiency and sustainability in energy production.
• Reduced environmental impact through optimized resource management.
• Automation can enhance the effectiveness and sustainability of energy production.
• Real-time data analysis is crucial for optimizing exploration and production.

36. Procter & Gamble: AI in Consumer Goods Production

Task/Conflict: Maintaining operational efficiency and innovating product development are key challenges in the consumer goods industry. Procter & Gamble (P&G) aimed to integrate AI into their operations to enhance these aspects.

Solution: P&G employs AI to optimize its manufacturing processes and predict market trends for product development. AI-driven data analysis helps in managing supply chains and production lines efficiently, while AI in market research informs new product development, aligning with consumer needs.

• Enhanced operational efficacy and minimized production charges.
• Improved product innovation based on consumer data analysis.
• AI is crucial for optimizing manufacturing and supply chain processes.
• Data-driven product development leads to more successful market introductions.

Related: Use of AI in the Navy

37. Disney: Creating Magical Experiences with AI

Task/Conflict: Enhancing visitor experiences in theme parks and resorts is a priority for Disney. They aimed to use AI to create personalized and magical experiences for guests, improving satisfaction and engagement.

Solution: Disney utilizes AI to manage park operations, personalize guest interactions, and enhance entertainment offerings. AI algorithms predict visitor traffic and optimize attractions and staff deployment. Personalized recommendations for rides, shows, and dining options enhance the guest experience by leveraging data from past visits and preferences.

• Enhanced guest satisfaction through personalized experiences.
• Improved operational efficiency in park management.
• AI can transform the entertainment and hospitality businesses by personalizing consumer experiences.
• Efficient management of operations using AI leads to improved customer satisfaction.

38. BMW: Reinventing Mobility with Autonomous Driving

Task/Conflict: The future of mobility heavily relies on the development of safe and efficient autonomous driving technologies. BMW aimed to dominate in this field by incorporating AI into their vehicles.

Solution: BMW is advancing its autonomous driving capabilities through AI, using sophisticated machine learning models to process data from vehicle sensors and external environments. This technology enables vehicles to make intelligent driving decisions, improving safety and passenger experiences.

• Pioneering advancements in autonomous vehicle technology.
• Enhanced safety and user experience in mobility.
• AI is crucial for the development of autonomous driving technologies.
• Safety and reliability are paramount in developing AI-driven vehicles.

39. Mastercard: Innovating Payment Solutions with AI

Task/Conflict: In the digital age, securing online transactions and enhancing payment processing efficiency are critical challenges. Mastercard aimed to leverage AI to address these issues, ensuring secure and seamless payment experiences for users.

Solution: Mastercard integrates AI to monitor transactions in real time, detect fraudulent activities, and enhance the efficiency of payment processing. AI algorithms analyze spending patterns and flag anomalies, while also optimizing authorization processes to reduce false declines and improve user satisfaction.

• Strengthened security and reduced fraud in transactions.
• Improved efficiency and user experience in payment processing.
• AI is necessary for securing and streamlining expense systems.
• Enhanced transaction processing efficiency leads to higher customer satisfaction.

40. AstraZeneca: Revolutionizing Oncology with AI

Task/Conflict: Advancing cancer research and developing effective treatments is a pressing challenge in healthcare. AstraZeneca aimed to utilize AI to revolutionize oncology research, enhancing the development and personalization of cancer treatments.

Solution: AstraZeneca employs AI to analyze genetic data and clinical trial results, identifying potential treatment pathways and personalizing therapies based on individual genetic profiles. This approach accelerates the development of targeted treatments and improves the efficacy of cancer therapies.

• Accelerated innovation and personalized treatment in oncology.
• Better survival chances for cancer patients.
• AI can significantly advance personalized medicine in oncology.
• Data-driven approaches in healthcare lead to better treatment outcomes and innovations.

Related: How can AI be used in Tennis?

Closing Thoughts

These 40 case studies illustrate the transformative power of AI across various industries. By addressing specific challenges and leveraging AI solutions, companies have achieved remarkable outcomes, from enhancing customer experiences to solving complex scientific problems. The key learnings from these cases underscore AI’s potential to revolutionize industries, improve efficiencies, and open up new possibilities for innovation and growth.

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What companies are getting right around AI adoption

Featured in today's newsletter:

• Minimum-viable AI applications.
• Why you should make your priorities public.
• A workplace lesson from the New York Knicks.

AI and Work Radar

• Some 44% of workers use AI at work, according to a recent survey from Morning Consult of employed US adults. Some 42% of those who use AI at work said that AI has a positive impact on the workplace, and 30% said that it has a negative one. 
• Meat-processing facilities adopt AI tools. While automation has long been a feature in the meat-packing industry , from vaccinating chicks to prepping shipments, advances in AI have allowed processing plants to automate tasks previously reserved for human workers, like precision butchering. 

Focus on how companies are getting AI adoption right

This week, we released our new research guide: “ AI in the workplace: How companies and workers are getting it right .” In it, you’ll find examples of custom tools and workflows, frameworks for mitigating bias in AI systems, and case studies from enterprises such as Microsoft and Cisco to startups like Humane and BenchSci. 

While it’s early—even leading tech companies are in the early stages of generative AI adoption—we found several emerging best practices. One of six practices we recommend others adopt: Focus on a specific problem. Here’s an excerpted case study showing how Accenture is solving a specific business problem with substantive input from its employees. 

Over the past year, the professional-services company developed and introduced Proposal Builder, a tool for writers on staff —known as the “pursuit” team—to create sales proposals, using a custom version of ChatGPT 3.5 that is managed by Accenture’s CIO. 

Managing director Erin Hubbard explains the impetus for the bot: “Finding the right, relevant content is challenging in a company of our size,” says Hubbard. She notes that it can be frustrating for writers to look through all available publicly disclosable information, methodology details, industry and region materials, and other background in preparing proposals in a short time frame. “How do I, the average employee, asked to answer 10 RFP questions, naturally know where to go to find each piece of information? The answer is, they don’t.” 

The solution is to make up-to-date information searchable in a single place, with source information viewable. This is how the company developed the “minimum viable product” (MVP):

• Program design and testing

In addition to the involvement of members of an internal steering committee, a group of writers on the pursuit team helped validate the need for proposal preparation support. Starting during the beta test, writers also flagged software bugs and shared features they wanted, including more options for charts and graphs and multi-language support for their global team.  

Soliciting their early input seems to have improved writers’ trust in the tool, managers at Accenture told us. Prior to testing Proposal Builder, Sarah Szuminski , the firm’s North America lead for pursuit writing, hadn’t used generative AI in her work. Today, Szuminski describes Proposal Builder as “a smarter, faster search for us.”

• Rollout and training  

Hubbard says the process of introducing Proposal Builder to 1,500 people on Accenture’s pursuit team has been more user-centered than it might have been in years past. Proposal Builder training has taken many forms: small group sessions, face-to-face and virtual demos, Q&As, FAQs, recorded videos, one-on-one coaching, and twice weekly live office hours. Polls and contests are included throughout the training process to make the tool more approachable. 

Szuminski says that the tool has been helpful for the different stages of preparing proposals: during strategy conversations and outlining to start, while pulling together content in the middle, and for finetuning close to submission. She is using it weekly. As she says:

“A lot of times with generative AI, the discussion is: Is our work in jeopardy? Is the work that we're doing being threatened? I really see if we can eliminate the lower value, time-wasting work, it allows writers like myself to be more valuable in the way we're contributing our time [with] higher-value things like strategic messaging. Are we being creative? How can we correspond with the graphics team and all of that to make it a higher-level deliverable?”

With time saved, Hubbard says she would like to see employees do two things: put time into differentiating proposals to make them better than their competitors’ and recharge.

• Iteration  

Accenture continues to evaluate the tool by measuring time spent on tasks and monitoring user feedback. The software is now part of new employee training, and all writers are encouraged to rate content recommended by the bot and replace information that doesn’t meet their standards. This aligns with one of the factors we identified in Charter’s AI and worker inclusion playbook for the likelihood of new technology being embraced by workers: They have the ability to control the technology, and to use their discretion in overruling it as needed.

Download the guide, “ AI in the workplace: How companies and workers are getting it right ,” for more frameworks and case studies from leading companies. 

What Else You Need to Know

The labor market is cooling, giving employers more of an upper hand. The US added 175,000 jobs in April, fewer than forecasted and the lowest number in six months, according to new Bureau of Labor Statistics (BLS) data . Meanwhile, there were just 8.5 million unfilled job openings at the end of March, while 3.3 million workers voluntarily left their jobs—both figures were at their lowest levels in three years. 

• Economists predict that the cooling labor market may shift the balance of power between employers and workers more towards bosses, reversing recent trends that gave workers more bargaining power.
• According to data from the Federal Reserve Bank of Philadelphia, the number of job switchers , or workers who transition from one job to another without a gap in the middle, has also fallen—an indication that highly-skilled workers could be less optimistic about job prospects (or that firms are spending less on recruiting). The number of business services jobs fell by 4,000, according to Friday’s BLS report . 
• Compensation for civilian workers rose 4.4% in the past year. Adjusted for inflation, wages are up 0.8% from a year ago. One survey from Mercer found that companies plan to limit increases to compensation budgets to 3.6% this year from last, down from November projections of 3.8%. 

Future of Work Speed Round

• Business travel rebounds. Corporate bookings for many airlines and hotels have returned to pre-pandemic levels . Delta, United, Alaska Air, and Southwest Airlines all recorded double-digit-percentage increases in revenue from corporate accounts in the first quarter, and Hilton’s corporate bookings have risen above 2019 levels. 
• Companies led by younger CEOs emit less greenhouse gas. Researchers say that’s due to a combination of factors, including investments in abatement activities, production efficiency, and greener fuel choices. 
• Job-market anxieties plague new graduates preparing to enter the workforce. Over three-fourths of college graduates reported feeling concerned about job security during the job search process, according to a recent survey from Monster, and half of respondents said that they expect not to find a job at the company they prefer. 
• Most Americans underestimate the material benefits of unions. Stanford researchers found that, when asked to estimate the compensation premiums and workplace benefits associated with union membership, 92% of respondents underestimated the payoff of joining a union. In the past year, union workers in the private sector saw their wages rise 6.3%, compared to 4.1% for non-union workers. 
• Almost two-thirds of employees at federal agencies work on a hybrid schedule, in spite of calls from government leaders to return to offices , according to a survey from Federal News Network. Some 30% reported that they work entirely remotely, and just 6% reported working fully in-person. 
• Doordash launches a program to help drivers access benefits. In Pennsylvania, the food-delivery app is piloting a portable benefit-savings program that will allow eligible workers to open a benefit savings account. Each month, the company will contribute 4% of drivers’ pre-tip earnings to the accounts, which can be spent on benefits expenses like retirement savings, health insurance, and emergency savings. 
• A new rule from the Equal Employment Opportunity Commission (EEOC) adds protections for trans and non-binary workers. Four years after the Supreme Court ruled that workplace discrimination laws apply to LGBTQ workers, the EEOC updated its enforcement guidance to require that employers use employees’ preferred gender pronouns and allow them to use bathrooms that match their gender identity. The changes also include a prohibition on discriminating against employees for their reproductive health decisions, including receiving an abortion or using contraception. 

Here are some of the best tips and insights from the past week for managing yourself and your team:

• To ask better questions, vary your style. For more strategic decision-making, balance five different types of questions. Investigative questions probe the knowns and unknowns around a project. Speculative questions are “what if” queries that spur creativity and problem-solving. Productive questions move projects along through planning and coordination. Interpretive questions, help team members tease out the implications of an idea. Subjective questions ask about team members’ concerns, outlooks, and emotional states. 
• Share your priorities with a public project tracker. Manage your workload by creating a project tracker for all the responsibilities currently on your plate. Then sort them into current priorities and a waiting list for projects to tackle next. Share the tracker with colleagues and managers to help them understand your current workload. 
• Schedule deep-focus time for the same time everyday. If you struggle to concentrate during scheduled time for focused work , consider scheduling your focused time for the same blocks everyday. Having a more consistent schedule may help you focus more easily. 

When your work bestie is your teammate. We’ve previously covered the positive effects of having a friend at work, but workplace friendship could also be contributing to the success of one unconventional work team: the NBA’s New York Knicks . 

• Core players on the Knicks’ winning roster—Jalen Brunson, Donte DiVencenzo, and Josh Hart—are former college teammates and old friends. “People who are close, their communication happens faster,” Gallup’s Jon Clifton told The New York Times. “It’s almost like they develop their own languages. They have shortcuts to say complex things in just a few amount of words. But they’ve also built trust.”

Walking and wellness. Recent research suggests that treadmill desks may actually improve workers’ health. 

• One study showed that they can increase daily walking distance by an average of two miles. Another suggested that regular use can improve energy, moods, and even productivity. 

A cool way to commute. While it’s become commonplace for workers to choose a more active way to commute, like running or biking, Google DeepMind researcher Pablo Samuel Castro has opted for cross-country skiing to get to the office during the winter. 

• His typical journey from his Ottawa home to his office includes 40 minutes of skiing, in temperatures as low as minus four degrees fahrenheit, then a train ride to Montreal. 

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All you have to do is ask. Chat with your doc.

Meet AI Assistant for Acrobat. Interact with your document for quick answers and one-click summaries to create impactful content and level up your productivity. It’s available on desktop, web, and mobile.  Watch video .

AI Assistant for Acrobat starts at     . Early-access pricing ends June 4, 2024.

AI Assistant for Acrobat starts at     . Early-access pricing ends June 4, 2024.

Existing Acrobat user? Click here

*Available to individual users in English only. Generative summary not available on mobile.

A whole new way to get to what matters.

AI ASSISTANT

Ask AI Assistant.

Now you can engage with your document. Ask it questions and get quick answers linked to sources primarily from your doc. Then use the responses to craft your emails, presentations, and more — helping you sound like an expert in seconds. And with voice prompts in the mobile app, working on the go is easier than ever.

GENERATIVE SUMMARY

Sum it up, quick.

Save time and accomplish more. One-click generative summary automatically pulls out key points to help you navigate your docs and get important info fast. Available on desktop and web.

Explore all you can do with AI Assistant.

Simplify sales research and prospecting.

Learn what you need to know about your prospects so you can be effective at sales meetings.

Share findings faster.

Summarize industry reports, get deeper insights, and draft recaps for your team in no time.

Easily create study guides.

Ask AI Assistant to generate a study guide that you can quickly refine to make your own.

See how AI Assistant is helping small businesses think big.

Productivity is now in fashion. Watch to learn how AI Assistant for Acrobat boosts productivity at Bryan Bonilla’s fashion brand so he can focus on being creative.

PLANS AND PRICING

Get AI Assistant with these Acrobat plans.

Acrobat reader.

View, print, share, and comment on PDFs.

AI Assistant add-on available starting at     . Early access pricing ends June 4, 2024.

Available on desktop and mobile

View, print, share, and comment

Acrobat Standard

The simple PDF tool for editing and converting documents.

Starting at

Available on desktop, web, and mobile

Edit text and images, export, secure, and organize documents

Collect legally binding e-signatures and track responses

Acrobat Pro

The essential PDF and e-signature solution with secure, advanced tools.

Create web forms, redact, compare, and access 70+ features

Get early-access pricing starting at      when you add AI Assistant to Reader, Standard, or Pro.

Learn more  about AI Assistant for business.

Already an existing Acrobat customer?

If you already have an Acrobat Reader, Standard, or Pro plan, simply sign in on your Acrobat or Acrobat Reader app and try AI Assistant today.

The Adobe difference.

We protect your documents and content using responsible practices and developed Acrobat generative AI following Adobe’s AI Ethics principles of accountability, responsibility, and transparency.

Frequently asked questions.

AI Assistant Customers can ask questions in documents and receive easy-to-understand answers with attribution. AI Assistant can help generate a document summary and suggested questions based on the document to help customers explore, comprehend content, and gain insights more effectively.​

Using responses from AI Assistant, customers can consume info and create impactful content based on their document faster than ever — draft and share content for emails, presentations, meeting notes, research summaries, and more.​

Generative summary With generative summary, customers automatically get an outline with headings and section-specific key points to help them focus on what matters in a streamlined way — easily finding, discerning, and navigating to essential information they need on demand.

Voice Prompt (mobile) Enhance productivity on the go with AI Assistant on Acrobat Reader mobile. Get key insights with voice prompt, making comprehension easier and faster —creating content for emails, study guides, blog posts, and more.

AI Assistant can help customers accelerate document comprehension and transform their productivity:

• Summarize crucial concepts and themes from the document       
• Get one-click summaries with generative summary (desktop and web)  
• Explore content using suggested questions 
• Ask questions and receive credible answers with cited references

Communicate with impact. Customers can save time when AI Assistant helps them create content based on their document.

• Create content from their documents for emails, presentations, meeting notes, and more
• Come up with ideas for blog posts, articles, research topics, and more

Get inspired —  see how others have incorporated AI Assistant into their everyday work.

Acrobat Individual customers can access these features in Reader desktop and the Adobe Acrobat desktop application on both Windows and macOS, on the Acrobat web application, on Acrobat mobile applications (iOS and Android), and in their Google Chrome or Microsoft Edge extensions.

Acrobat Individual free and paid customers will receive a complimentary, limited number of AI Assistant “requests.” Customers will have the opportunity to purchase an add-on for their existing Acrobat plan for full use of AI Assistant.

Generative AI features in Acrobat are available through a public beta for Teams customers. A private beta is available for paid Enterprise VIP customers. To determine entitlement status for a teams or enterprise account, contact the account admin . Paid Enterprise ETLA customers can access generative AI features through a free trial, please contact an Adobe sales representative. To learn more about AI Assistant for Teams and Enterprises, see here .

AI Assistant will be available in countries where Acrobat is currently available. Adobe products and services, including ones with AI Assistant for Acrobat, are not available in Belarus, China, Crimea, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, and the so-called breakaway Luhansk People’s Republic and Donetsk People’s Republic located in Ukraine. 

Currently, AI Assistant in Acrobat supports PDFs in English with plans to add additional languages in future releases. AI Assistant may inadvertently provide non-English responses, but these go beyond the intended purpose of the AI Assistant capability and should not be relied upon at this time. 

At this time, this feature works for PDFs that meet certain criteria. It doesn’t yet support the following types of files:

• Files exceeding 25MB in size
• Files that contain more than 120 pages
• Files with permissions that are configured in a way that prevents processing, such as being password-protected or having the “do not copy” permission enabled 
• Files that are scanned PDF documents
• Files in a non-English language

Yes, a separate add-on plan for full access is available to new and existing Acrobat Individual customers. Acrobat Individual customers do not need to have an existing Acrobat Pro or Acrobat Standard plan to purchase. See the plans page for additional details.  

For Teams customers, generative AI features in Acrobat are available as a public beta. A private beta is available for paid Enterprise VIP customers. To determine entitlement status for a teams or enterprise accounts, contact the account admin . Paid Enterprise ETLA customers can access generative AI features through a free trial, please contact an Adobe sales representative to learn more.

We encourage customers to provide feedback directly in the product. They can select the thumbs-up icon or thumbs-down icon to express their approval or disapproval with the generated responses. To provide more detailed feedback, customers should select “Thanks! Tell us more,” or they can choose from the provided options to add a note, and then select "Submit." Customers also can choose to share their document and its associated data associated with Adobe while providing more detailed feedback. 

In the case of inappropriate content being generated, customers should press the flag icon to report it. Their document and the associated data will be escalated to the Adobe Trust & Safety team and other internal channels to investigate and address.

The new AI Assistant features were developed and deployed after undergoing review by the Adobe AI Ethics Review Board and have been designed to reflect Adobe’s AI Ethics principles of accountability, responsibility, and transparency.

Adobe and its service providers do not use Adobe customer content to train the large language models (ours or a third party’s) that deliver Acrobat’s generative AI capabilities. Learn more about how Adobe protects your documents and content using responsible practices . 

Creating content that violates third-party copyright is prohibited. When using generative AI features in Acrobat, customers agree to only upload documents they have a legal right to use, and they will not create, upload, or share infringing content or content that violates our  User Guidelines or the rights of others. They should seek independent legal counsel if they are unsure whether their content violates somebody else’s rights.

They can visit the  AI Assistant in Acrobat HelpX page to discover more about AI Assistant in Acrobat. To learn more about purchasing AI Assistant for Acrobat add-on plan, see the plans page for details.

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AI + Machine Learning , Azure AI Studio , Customer stories

3 ways Microsoft Azure AI Studio helps accelerate the AI development journey  

By David Seda General Manager, Azure AI

Posted on May 7, 2024 4 min read

The generative AI revolution is here, and businesses across the globe and across industries are adopting the technology into their work. However, the learning curve for your own AI applications can be steep, with 52% of organizations reporting that a lack of skilled workers is their biggest barrier to implement and scale AI. 1 To reap the true value of generative AI, organizations need tools to simplify AI development, so they can focus on the big picture of solving business needs. Microsoft Azure AI Studio, Microsoft’s generative AI platform, is designed to democratize the AI development process for developers, bringing together the models, tools, services, and integrations you need to get started developing your own AI application quickly.  

“Azure AI Studio improved the experience for creating AI products. We found it mapped perfectly to our needs for faster development and time to market, and greater throughput, scalability, security, and trust.”  Denis Yarats, Chief Technology Officer and Cofounder, Perplexity.AI 

Azure AI Studio (preview)

Develop generative AI applications and custom copilots in one platform

1. Develop how you want   

The Azure AI Studio comprehensive user interface (UI) and code-first experiences empower developers to choose their preferred method of working, whether it’s through a user-friendly, accessible interface or by diving directly into code. This flexibility is crucial for rapid project initiation, iteration, and collaboration—allowing teams to work in the manner that best suits their skills and project requirements.  

The choice for where to develop was important for IWill Therapy and IWill CARE , a leading online mental health care provider in India, when they started using Azure AI Studio to build a solution to reach more clients. IWill created a Hindi-speaking chatbot named IWill GITA using the cutting-edge products and services included in the Azure AI Studio platform. IWill‘s scalable, AI-powered copilot brings mental health access and therapist-like conversations to people throughout India.

The comprehensible UI in Azure AI Studio made it easy for cross functional teams to get on the same page, allowing workers with less AI development experience to skill up quickly.  

“We found that the Azure user interface removed the communication gap between engineers and businesspeople. It made it easy for us to train subject-matter experts in one day”.  Ashish Dwivedi, Co-founder and COO, iWill Therapy

Azure AI Studio allows developers to move seamlessly between its friendly user interface and code, with software development kits (SDKs) and Microsoft Visual Studio code extensions for local development experiences. The Azure AI Studio dual approach caters to diverse development preferences, streamlining the process from exploration to deployment, ultimately enabling developers to bring their AI projects to life more quickly and effectively. 

2. Identify the best model for your needs   

The Azure AI Studio model catalog offers a comprehensive hub for discovering, evaluating, and consuming foundation models, including a wide array of leading models from Meta, Mistral, Hugging Face, OpenAI, Cohere, Nixtla, G42 Jais, and many more. To enable developers to make an informed decision about which model to use, Azure AI Studio offers tools such as model benchmarking. With model benchmarking, developers can quickly compare models by task using open-source datasets and industry-standard metrics, such as accuracy and fluency. Developers can also explore model cards that detail model capabilities and limitations and try sample inferences to ensure the model is a good fit. 

The Azure AI Studio integration of models from leading partners is already helping customers streamline their development process and accelerating the time to market for their AI solutions. When Perplexity.AI was building their own copilot, a conversational answer engine named Perplexity Ask, Azure AI Studio enabled them to explore various models and to choose the best fit for their solution.  

“Trying out large language models available with Azure OpenAI Service was easy, with just a few clicks to get going. That’s an important differentiator of Azure AI Studio: we had our first prototype in hours. We had more time to try more things, even with our minimal headcount.”   Denis Yarats, CTO and Cofounder, Perplexity.AI 

Generate solutions faster with azure openai service

3. Streamline your development cycles

Prompt flow in Azure AI Studio is a powerful feature that streamlines the development cycle of generative AI solutions. Developers can develop, test, evaluate, debug, and manage large language model (LLM) flows. You can now monitor their performance, including quality and operational metrics, in real-time, and optimize your flows as needed. Prompt flow is designed to be effortless, with a visual graph for easy orchestration, and integrations with open-source frameworks like LangChain and Semantic Kernel. Prompt flow also facilitates collaboration across teams; multiple users can work together on prompt engineering projects, share LLM assets, evaluate quality and safety of flows, maintain version control, and automate workflows for streamlined large language model operations (LLMOps). 

When Siemens Digital Industries Software wanted to build a solution for its customers and frontline work teams to communicate with operations and engineering teams in real-time to better drive innovation and rapidly address problems as they arise, they looked to Azure AI Studio to create their own copilot. Siemens developers combined Microsoft Teams capabilities with Azure AI Studio and its comprehensive suite of tools, including prompt flow, to streamline workflows that included prototyping, deployment, and production. 

“Our developers really like the UI-first approach of prompt flow and the ease of Azure AI Studio. It definitely accelerated our adoption of advanced machine learning technologies, and they have a lot of confidence now for ongoing AI innovation with this solution and others to come.”   Manal Dave, Advanced Software Engineer, Siemens Digital Industries Software

Get started with Azure AI Studio  

The ability to choose between UI and code, plus the Azure AI Studio model choice and developer tools are just some of the ways AI Studio can help you accelerate your generative AI development. Helping customers achieve more is at the heart of everything we do, and we’re excited to share new ways Azure AI Studio can help you build your own copilots and other AI apps during Microsoft Build.  

Check out some of the upcoming sessions:  

• Learn more about how Azure AI Studio can help you build production-ready AI solutions.  
• Get started, build with Azure AI Studio .
• Register for Microsoft Build and check out the upcoming Azure AI Studio session on building your own copilot .

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Man or bear? Hypothetical question sparks conversation about women's safety

Women explain why they would feel safer encountering a bear in the forest than a man they didn't know. the hypothetical has sparked a broader discussion about why women fear men..

If you were alone in the woods, would you rather encounter a bear or a man? Answers to that hypothetical question have sparked a debate about why the vast majority say they would feel more comfortable choosing a bear.

The topic has been hotly discussed for weeks as men and women chimed in with their thoughts all over social media.

Screenshot HQ , a TikTok account, started the conversation, asking a group of women whether they would rather run into a man they didn't know or a bear in the forest. Out of the seven women interviewed for the piece, only one picked a man.

"Bear. Man is scary," one of the women responds.

A number of women echoed the responses given in the original video, writing in the comments that they, too, would pick a bear over a man. The hypothetical has people split, with some expressing their sadness over the state of the world and others cracking jokes. Some men were flabbergasted.

Here's what we know.

A bear is the safer choice, no doubt about it, many say

There were a lot of responses, more than 65,000, under the original post. Many wrote that they understood why the women would choose a bear.

"No one’s gonna ask me if I led the bear on or give me a pamphlet on bear attack prevention tips," @celestiallystunning wrote.

@Brennduhh wrote: "When I die leave my body in the woods, the wolves will be gentler than any man."

"I know a bear's intentions," another woman wrote. "I don't know a man's intentions. no matter how nice they are."

Other TikTok users took it one step further, posing the hypothetical question to loved ones. Meredith Steele, who goes by @babiesofsteele , asked her husband last week whether he would rather have their daughter encounter a bear or a man in the woods. Her husband said he "didn't like either option" but said he was leaning toward the bear.

"Maybe it's a friendly bear," he says.

Diana, another TikTok user , asked her sister-in-law what she would choose and was left speechless.

"I asked her the question, you know, just for giggles. She was like, 'You know, I would rather it be a bear because if the bear attacks me, and I make it out of the woods, everybody’s gonna believe me and have sympathy for me," she said. "But if a man attacks me and I make it out, I’m gonna spend my whole life trying to get people to believe me and have sympathy for me.'"

Bear vs. man debate stirs the pot, woman and some men at odds

The hypothetical has caused some tension, with some women arguing that men will never truly understand what it's like to be a woman or the inherent dangers at play.

Social media users answered this question for themselves, producing memes, spoken word poetry and skits in the days and weeks since.

So, what would you choose?

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Gen z has a surprising opinion about ai influencers on social media, study finds.

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Gen Z is embracing artificial intelligence.

Compared to other generations, Zoomers are more open to brands using AI influencers rather than humans, a new study showed.

Only 35% of Gen Z consumers considered authenticity in influencers to be a top trait they care about, according to Sprout Social’s 2024 Influencer Marketing Report .

Meanwhile, about half of Millennials, Gen X and Baby Boomers said they place a high value on authenticity.

Two thousand participants across the US and UK who have at least one social media account and follow at least five brands on social media were surveyed, including 300 social media influencers.

When asked on how they feel about companies and brands using AI influencers instead of humans, Gen Z was 46% more likely to be interested.

This could be because Gen Z cares more about popularity with 47% saying they care about an influencer’s follower count.

Overall, 37% of respondents said AI influencers would make them more interested while another 37% said it would make the brand untrustworthy. The rest of the respondents were “indifferent.”

Social media influencers were more concerned, with 49% saying they were worried AI influencers would take their jobs.

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Real Influence Doesn't Require Being Real

Photorealistic ai influencers are here — and marketers say they are eager to use them — but what does that mean for brand authenticity.

By Chuck Kapelke     May 8, 2024     5-minute read

Human influencers, move over. Nearly two-thirds of marketers said they are open to teaming up with AI-created virtual influencers, according to a new study. As the trend gains momentum, marketers need to ensure that their AI-driven partners are tightly controlled and sync up nicely with the brand.

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