AI governance is no longer just a policy exercise—it must operate at runtime. As organizations adopt agentic AI, securing changes in production requires runtime controls like feature flags, progressive rollout, instant rollback, and automated safeguards. This article explores how combining RBAC, change approval workflows, audit logging, and runtime governance enables faster, safer AI adoption without slowing innovation.