An AI use case library answers the most common question leaders ask: “where would AI actually help us?” Rather than abstract hype, this tool lists concrete applications of AI organised by industry and business function, each tagged as proven or emerging, with a suggested tool category. It is a fast way to move from “we should do something with AI” to a shortlist of pilots worth scoping.
How it works
The library is a curated dataset of use cases spanning industries such as healthcare, finance, retail, and logistics, and functions such as customer service, operations, marketing, and HR. You filter by industry, function, and maturity (proven or emerging), and the list narrows instantly. Each entry includes a one-line description and a suggested tool category — for example “document extraction” or “RAG chatbot” — chosen so the guidance does not go stale as specific products change. All filtering happens in your browser; nothing is sent anywhere.
Tips and examples
Begin with proven use cases in a function where you already have clean, accessible data and a cost you can measure — that is where AI pays back fastest and the implementation risk is lowest. Treat emerging entries as experiments: worth a small, time-boxed pilot, not a year-one bet-the-company programme. Once you have a shortlist of two or three, run each through the AI ROI business case builder to put numbers behind the idea before you ask for budget. Revisit the library each quarter — the line between “emerging” and “proven” moves quickly, and use cases that were risky last year are often standard practice now.