From observability to ROI for AI agents on any framework | BRK252
Microsoft Foundry observability adds end-to-end tracing, evaluation, monitoring, and ROI for AI agents on any framework.
“agents are non-deterministic, creating new reliability and consistency challenges for developers and operators”
At Build, Microsoft detailed Foundry observability for AI agents, built on four pillars—tracing, evaluation, monitoring, and optimization—that work across any agent framework and span the full agent DevOps inner and outer loop. It matters because non-deterministic agents create reliability challenges, and Microsoft is positioning observability plus agent ROI measurement as the control plane for production-grade enterprise agents.