How Microsoft Scaled AI Agents Without Losing Control

As of October seventeenth two thousand twenty-six, the conversation around artificial intelligence has shifted from chatbots to autonomous agents. But autonomy without guardrails is a liability. This episode examines how Microsoft engineered its Copilot Studio to balance developer freedom with enterprise compliance. We look at specific architectural decisions like the policy engine that sits between agent actions and production data, and the telemetry required to audit non-deterministic behavior. Lucas and Luna break down why simple rate limiting isn't enough when an AI can write SQL queries or trigger API calls on its own. If you are building agentic workflows, this deep dive into safety-by-design architecture is essential listening.

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