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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.
Companion file: TechTalk - Agent Evaluation Series Governance Lifecycle, Gates, and Operating Agents in Production.pdf
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
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