Ryan Hedlund

For enterprises in regulated industries, scaling agentic AI requires more than policy—it demands runtime governance. Centene, in partnership with Databricks and Slalom, built MAGI (Machine Agentic Governed Intelligence), a production framework that delivers three essential gifts: Security that enforces compliance and protects PHI by default, Explainability via immutable audit trails for every AI decision, and Repeatability through a governed "paved road" for consistent AI development. We'll demonstrate how MAGI's composable architecture uses automated evaluation, quality gates, centralized monitoring, and feedback loops to accelerate safe AI adoption at scale. This approach has given Centene the consistency and confidence to grow its AI portfolio across the enterprise. Leave with practical patterns for building your own runtime governance for agentic AI on Databricks.