Operationalizing Agentic AI: Governance, Observability and Human Control at Scale
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Operationalizing Agentic AI: Governance, Observability and Human Control at Scale
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Agentic AI is no longer theoretical. Systems that can reason, plan, and take action across workflows are entering production environments—and with them comes a new operational reality. The question is no longer can AI act autonomously, but how do we stay in control when it does?
This episode focuses on the practical mechanics of deploying agentic AI responsibly. We examine how to design governance frameworks that go beyond static guardrails, implement observability that surfaces intent and intermediate reasoning, and maintain meaningful human-in-the-loop oversight without slowing down innovation. From dynamic policy enforcement to real-time monitoring and escalation paths, we’ll explore how enterprises can operationalize autonomy without sacrificing accountability.