A one-page audit from AI That Pays for Itself: metric, data, sponsor. If one leg is short, fix it before you buy anything.
Drawn from AI That Pays for Itself, the book's operator-first method for making AI produce measurable value.
One number the AI work is supposed to move, agreed before the tool is picked.
Data reachable, trusted, owned, and not a spreadsheet nobody reconciles.
A named executive still cares in week 12, not just at kickoff.
It goes into Kit so follow-up can match what you actually asked for, not some generic newsletter fog.
Use this before a vendor meeting, before a pilot, or before asking a board for budget. The point is to force the operational questions first: what moves, who owns it, what it costs, when we stop, and how we keep watching after launch.