Agent Evaluation Series | Governance, Lifecycle Gates, Operating Agents | FastTrack TechTalk

In this #TechTalk, Microsoft #FastTrack architects dive into how to govern, evaluate, and operate AI agents in production. This is the final part of a three-part series focused on moving from theory to real-world execution. You’ll learn why traditional testing approaches don’t work for AI agents and how continuous evaluation, lifecycle gates, and governance ensure your agents stay reliable over time. This session covers: Why governance looks different for AI agents vs traditional D365 solutions How agent quality can drift—and how to detect it early The full evaluation lifecycle: design, build, validate, deploy, and operate How to use evaluation gates for evidence-based go/no-go decisions Production strategies including shadow mode, A/B testing, and A/B/N testing The role of monitoring, observability, and evaluation in production How to build a continuous feedback loop to improve agent performance