Building an AI agent is becoming easier. Deciding what an enterprise agent should be allowed to reason about, recommend, and ultimately decide is much harder.

In this practical session, we’ll build an Enterprise Change Readiness Advisor using Microsoft Copilot Studio that analyzes a production change package against organizational Change Advisory Board (CAB) standards.

Through a live enterprise scenario, you’ll see the agent reason across multiple documents, identify conflicting evidence and dependencies, distinguish verified facts from inference, apply organizational policy, surface missing evidence, and produce a structured decision-readiness assessment—without allowing AI to approve or reject the change.

Along the way, we’ll examine a critical agentic AI architecture principle: use AI where reasoning is valuable while preserving deterministic controls and accountable human decision-making where they matter.

Attendees will leave with a reusable architecture pattern for governed decision-support agents that can extend beyond change management to architecture review, risk, compliance, operations, and other enterprise workflows.