AI Business Use Case Database

Inspired by MIT's AI for Senior Executes class, this resource aims to inspire new AI adoption ideas by providing examples of successful AI business use cases. We're now approaching 300 use cases across many different countries, companies, industries and business functions - and growing!

As AI solutions become more widely accepted and adopted in business, demand for skilled talent will remain high, making consultants and implementation partners more essential than ever in delivering successful AI projects.

Before engaging a consultant to implement an AI solution, it is important to define your key business challenges and identify areas where AI can provide the best return on investment. This is best done by the company itself rather than a consultant. The role of the Board is critically important. A well-defined AI strategy, supported by the Board, ensures that AI adoption aligns with your business objectives rather than becoming a consultant-driven or technology-driven exercise.

Equally important is selecting a partner with proven experience of similar projects. Partnering with someone who has already navigated the pitfalls of your use case can significantly accelerate implementation, reduce costs and risks, and prevent the need to “reinvent the wheel.”

We hope you find this resource useful.

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