Enterprises are moving from copilots to agents that call APIs, use tools, access data, coordinate workflows, and take actions. That shift creates a new infrastructure problem: how do we govern non-human actors without constraining useful autonomy? This session presents a vendor-neutral Agentic AI Control Plane for production systems, covering agent identity and delegated authority, policy-as-code, tool governance, behavioral evaluation, end-to-end observability, human approval, failure containment, and auditable execution. Attendees will see architectural patterns for separating probabilistic reasoning from deterministic enterprise controls and safely integrating agents with existing APIs, services, data platforms, and workflows.