AI Use Cases by Industry and Function
Most AI conversations start too broad to act on. These pages go the other way — one concrete job at a time, with the workflow it changes, what stays with a human, and how you would know it worked. Each one is small enough to prove in weeks rather than quarters.
By Business Function
What Each Page Covers
Every page follows the same shape, because these are the questions that decide whether a project is worth starting. What the work looks like today, step by step, against what it looks like with AI in it. Which decisions stay with a person and why.
Then the part most vendors skip: how to prove it. A narrow first slice you can validate in weeks, and the numbers you should baseline before anything goes live — because a comparison you set up afterwards will always flatter the new system.
How to Pick One
Start where the work is repetitive, the rules are already written down somewhere, and someone can tell you what a good outcome looks like. Those three together are what make a use case buildable in weeks instead of quarters.
Be wary of the opposite: a process nobody can describe consistently, or one where the current success rate was never measured. You can still automate it, but you will have no way to prove the result — and an unprovable result is how pilots stall before production.
If none of these match your situation exactly, the shape of the work usually transfers. The document review in claims processing is the same problem as the document review in procurement. Tell us the job and we will tell you honestly whether AI is the right tool for it — see how we take a proof of concept to production.
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