Everyone wants to “add Copilot to our data,” but a generic chatbot that hallucinates over your business is worse than no chatbot at all. The difference between a demo and a dependable agent is grounding: connecting the model to your real, governed data with the right knowledge sources, actions, and guardrails. In this hands-on, full-day workshop you will build Copilot Studio agents that answer from your data — and admit it when they can’t.

You will build alongside the instructor through six lab segments: wiring knowledge sources (SharePoint, Dataverse, and Fabric-backed data), adding actions that call real systems, and grounding responses so every answer traces back to source. Then we tackle the parts most demos skip — keeping the agent inside its lane, testing non-deterministic behavior, and the governance and ALM you need before this touches production. You will leave with a repeatable build pattern, a governance checklist, and a clear-eyed sense of what it actually takes to ship a data-grounded agent your users can trust.