Not sure whether an AI assistant is worth the investment? The top AI assistant case studies offer a brilliant insight into how these intelligent tools can enhance workplace productivity, creativity, and efficiency. AI assistants are an incredible resource if you’re trying to accelerate workflows, improve customer service, or support distributed teams.
A McKinsey report from 2025 found that AI could add more than $4.4 trillion in productivity gains to organizations worldwide. However, our research into the potential challenges of AI adoption found that 13% of companies are still struggling to justify AI ROI.
- Want to learn more about the benefits of intelligent assistants? Check out our guide to enterprise AI assistants here. Alternatively, get help choosing the best AI assistant for your team with our step-by-step comparison guide.
Here, we’ll share some of the top case studies that can help you build a business case for AI assistants in any sector so you can invest with confidence.
7 Amazing AI Assistant Case Studies
As demand for AI assistants continues to grow, countless leading AI vendors have released various case studies highlighting the benefits of these tools. Here are just some of the most inspirational success stories we’ve read so far.
1. Gainsight and Zoom AI: Standardizing Workflows
When Gainsight CIO Karl Mosgofian noticed employees bringing different AI note-takers into meetings, he saw a privacy nightmare: each third-party app stored meeting data separately. To mitigate the issue, Gainsight decided to introduce Zoom Companion, an all-in-one AI assistant.
Zoom AI Companion’s free use and lack of training using crucial customer data made it the perfect choice for the growing team. Once the team started using the system, the number of employees using third-party tools decreased significantly, and productivity skyrocketed.
According to Gainsight, Zoom AI Companion doesn’t just help employees save time on not-taking tasks, it also helps them stay connected, and gain more insights from meeting discussions. Karl says that about 17% more in-meeting time is now spent on impactful discussions. Plus, team members save about 1.5 hours a week on repetitive tasks.
2. Freedom Furniture and Zendesk: Transforming CX
Retail leader Freedom Furniture wanted to set itself apart from the competition by focusing more on customer experience. Using Zendesk AI, the company tested an automated ticket triage system and saw a jaw-dropping 92% drop in manual triage hours, equivalent to saving two full-time employees’ worth of work. Suddenly, fewer people could handle more tickets faster than ever before.
Customer Experience Manager Stacey Zavattiero reported a 74% jump in reply-time improvement, too. Customers got answers the same day, a previously unheard-of speed for the team. Agents raved about macros and auto-summarizations that freed them from sifting through reams of chat logs, too.
Beyond the hard numbers, the cultural impact mattered. Freed from the most repetitive tasks, agents focused on personalizing responses, which boosted customer satisfaction by 17%. Like many other AI assistant case studies, this story demonstrates the power of AI to streamline tasks and improve experiences for both employees and customers.
3. Ma’aden and Microsoft Copilot: Saving Time with AI
If you’re looking for AI assistant case studies that prove the potential time savings companies can gain from implementing artificial intelligence tools, Ma’aden’s customer success story is truly inspirational. Aiming to grow tenfold by 2040, the mining company needed more than just more team members to boost efficiency at scale.
With Microsoft Copilot and Azure OpenAI services, the company embedded generative AI assistants into various crucial workflows. By focusing on a robust change management approach, Ma’aden got their teams – and their executives – trained and enthusiastic about using Copilot.
The payoff was massive: they recorded up to 2,200 hours saved each month. Tasks like drafting emails, analyzing data, and summarizing documents became seconds-long efforts instead of all-day chores. The leadership also noticed greater transparency when AI summarized meeting minutes and popped them into Teams channels.
4. Michelin & Azure OpenAI: AI assistant case studies Driving Innovation
Michelin, the legendary tire manufacturer, wanted to fuel innovation and tackle new markets without bogging down employees in repetitive tasks. Their internal chatbot, “Aurora,” built on Azure OpenAI Service, centralizes decades of corporate knowledge.
Employees use it to quickly summarize documents, cross-reference diverse information sources, and brainstorm new ideas. Microsoft 365 Copilot was also introduced to handle meeting recaps, document searches, and data classification.
With this upgrade, Michelin ensured its people would spend less time sifting through manuals and dealing with repetitive tasks. Caroline Gauthier, Service Owner of Collaborative Tools, said that Copilot has “revolutionized” productivity in the workplace. Teams can now focus on creativity and innovation rather than mundane tasks.
5. Volkswagen and Google Gemini: Updating Automotive Apps
One of the top AI assistant case studies demonstrating how companies can embed intelligent tools in existing apps, comes from Volkswagen, the world-leading automotive manufacturer. Using Gemini APIs from Google, this company built a custom virtual assistant into their MyVW app.
With this app, drivers of specific cars (such as the Atlas Cross Sport vehicle) can access accurate answers to questions about their vehicle and get relevant real-time advice. Even dash indicator lights are easier to understand. All users need to do is point their phones at the dashboard, and the app uses image recognition to explain the warning details.
With the AI-enhanced application, Volkswagen has helped customers to troubleshoot issues faster, while reducing the number of customer service calls teams need to handle. The company says that the app is powering a next-level ownership experience that fosters greater brand loyalty. Volkswagen even ensured tight integration with BigQuery, to allow the assistant to draw information from official manuals and how-to videos automatically.
6. BBVA and Open AI ChatGPT Enterprise: Global Collaboration
One of the biggest AI assistant case studies we’ve seen so far comes from BBVA, a global banking giant that worked with OpenAI to implement ChatGPT assistants into the workflows of hundreds of thousands of employees. Within five months, the team created thousands of custom “GPTs” for tasks like credit risk analysis or legal compliance.
One AI agent, “Credit Analysis Pro,” scours annual reports, ESG data, and press releases to streamline due diligence, saving analysts hours per deal. Another GPT helps the legal team draft responses for branch managers- turning a bottleneck of 40,000 annual queries into a smooth, near-instant system.
Management’s focus on democratizing AI – letting even non-technical staff create solutions – was key. The biggest lesson? Everyone has the opportunity to customize and fine-tune AI assistants to suit their specific needs, ensuring progress roadblocks can be broken down in seconds.
7. USADA and Perplexity: Boosting Accuracy and Productivity
The non-profit organization USADA (The US Anti-Doping Agency) needed a way to enhance innovation, productivity, and efficiency among teams while adhering to strict compliance and security standards. After running an initial pilot program, the company decided to embrace Perplexity AI, with its flexible model options, to streamline workflows.
The company found that working with Perplexity helped teams analyze data faster. It also saved teams around 150 hours of repetitive work, allowing them to identify risks faster and create reports in a fraction of the time it would usually take.
The team said that the flexibility of Perplexity’s ecosystem was essential, allowing staff members to experiment with various new models and platforms without incurring additional costs. Today, the team uses Perplexity for deep learning, analysis and summaries, policy research, and efficient upskilling programs.
AI Assistant Case Studies: Final Thoughts
These AI assistant case studies prove that real-world results—whether time savings, boosted customer experience, or more secure workflows—are well within reach with the right AI tools.
The enterprises leading the charge aren’t just adopting technology but weaving AI into every corner of their operations. From Gainsight’s standardized approach to Freedom Furniture’s empowered service team and Volkswagen’s in-app wizardry, it’s clear that the best AI assistants solve actual pain points and have buy-in from top to bottom.
