At PegaWorld, I had the opportunity to moderate a discussion with leaders from Navy Federal Credit Union, Achmea, and Blue Shield of California on a question many organizations are now wrestling with:
How do you move fast with Agentic AI without losing control?
One theme came through consistently: the organizations succeeding with agentic AI aren’t removing governance - they’re redesigning it.
Traditional governance models assume predictable workflows, fixed decision paths, and periodic review cycles. Agentic systems operate differently. They adapt, reason, and act at runtime. That means governance must shift from approvals and checkpoints to guardrails, observability, accountability, and shared ownership.
A few lessons that stood out:
Govern the platform and constraints, not every individual decision
Start with assistive use cases and earn trust through measurable outcomes
Treat AI agents as digital workers with identities, permissions, and accountability
Move from periodic compliance reporting to continuous visibility
The organizations moving fastest aren’t the ones with the fewest controls. They’re the ones that have embedded control directly into execution.
Curious how others are approaching governance as they move from AI assistants to truly agentic systems.
Read my full Pega Blog and let me know what you think!