From copilot to control plane: Where serious AI governance starts

In practice, that means setting the rules for identity, model access, permissions, logging and human approval before AI tools or agents are allowed to operate inside business workflows. The practical starting point is to identify where AI is already touching repositories, tickets, internal knowledge and business systems, then establish a minimum common control set across those entry points. The first enterprise AI conversations I kept getting pulled into sounded like tooling debates.