Most AI tool recommendations are written by people who have never had to close a month or answer for a forecast. The result is a list of impressive demonstrations, none of which survive contact with a Tuesday.
The test I apply has three parts. Name the task. Name the hours it takes today. Name who stops doing it. A tool that cannot answer all three is a demonstration rather than a purchase.
One. Turning unstructured feedback into themes
Support tickets, reviews, cancellation comments and survey free text. This is the clearest win available, because the work is genuinely valuable, genuinely tedious, and currently not being done at all in most businesses.
The output needs a human to sanity check, but going from two hundred tickets to five themes in an afternoon rather than a fortnight changes whether anyone bothers.
Two. First draft variants for testing
The bottleneck in most testing programmes is not the tooling, it is having enough variants worth testing. Drafting is where models are strongest and where the quality bar is lowest, since the test decides.
Three. Meeting and interview synthesis
Customer interviews, stakeholder conversations, workshops. The recording was always there and nobody ever went back to it. Now the notes exist and the patterns across ten conversations become visible.
Name the task, name the hours, name who stops doing it. A tool that cannot answer all three is a demo.
Four. Pressure testing your own documents
Hand a model your board paper or business case and ask it to argue against it. Not for tone, for substance. Where the number comes from, what is assumed, what has been avoided.
Uncomfortable, fast, and the most useful thing on this list the day before a board meeting.
Five. Routine reporting commentary
Not the numbers, the sentence that explains them. Most weekly reports contain a paragraph someone writes from scratch every week about data the system already has. That paragraph can be drafted and then edited, which is a different job and a much shorter one.
What is deliberately not here
Anything that touches a customer without review, anything that makes a pricing or eligibility decision alone, and anything that requires a data foundation the business does not have. Those are all possible and none of them are a starting point.
None of this changes your strategy. It gives a small team the capacity of a slightly larger one, which for most businesses is the more useful gift.