AI governance for risk, audit, and regulatory readiness

Most enterprises have an AI governance policy but struggle to answer the follow-up questions a regulator would actually ask. The gap is about operational depth rather than intent. Policies exist, but model inventories are incomplete. Risk assessments are conducted, but not connected to enterprise risk registers. Audit trails cover training data but miss what happens after deployment.