An AI policy sitting in a shared drive is not governance. Governance is the daily machinery that determines which systems may be used, what data they can touch, who owns the outcome, and how failure is detected.
Leaders need an operating model that connects use-case intake, risk classification, human review, vendor diligence, testing, incident response, and value measurement. The model must be strong enough for accountability and simple enough for people to use.
The most mature organizations will not be those with the most pilots. They will be those that know which systems deserve to scale and which should stop.


