Governance that people can actually use: approved tools, data rules, human gates, disclosure, and problem reporting.
Drawn from AI That Pays for Itself, the book's operator-first method for making AI produce measurable value.
Shadow AI is reduced by making the safe path easier than the risky one.
Clear boundaries for client data, personal data, credentials, and confidential material.
Named human approval before client, legal, financial, HR, or irreversible actions.
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.