Building More Than Just an Agent Harness: Microsoft’s Jay Parikh on Enterprise AI at Scale

Building more than just an agent harness

Jay Parikh, Microsoft’s VP of AI Core, spoke live at Microsoft Build about what enterprises need to build and deploy AI agents at scale. The conversation centered on delivering demonstrable ROI through an end-to-end development system that goes beyond the agent harness.

Why This Matters

Enterprises are rushing to deploy autonomous AI agents, but many fail in production due to unreliable outputs, lack of observability, and runaway costs. Without a systematic approach to evaluation for reliability and correctness—especially as models become more intelligent daily—agent deployments risk eroding trust and inflating operational expenses.

Key Insights

• Enterprises require an end-to-end agent development system that spans building, deploying, and running agents at scale (Microsoft Build announcement, July 2026).
• Reliability and correctness must be evaluated continuously as models grow more autonomous; a failure in production can cascade across workflows.
• The GitHub app and Foundry platform were announced alongside this discussion as part of Microsoft’s broader AI infrastructure push (Microsoft blog).

Practical Applications

References:

• From internal analysis