As organizations move from AI experimentation to real-world adoption, the focus is shifting from generating answers to enabling trusted, data-driven decisions.

In this session, we will explore how to build Copilot Studio agents that are grounded in Microsoft Fabric, enabling real-time access to enterprise data while maintaining strong governance and control. Rather than relying on static knowledge or unverified responses, these agents leverage Fabric as a trusted data foundation to deliver accurate, contextual, and actionable insights.

But connecting AI to enterprise data introduces new challenges.

How do we ensure agents only access the right data for the right user?
How do we prevent hallucinations when working with live data?
How do we maintain visibility and auditability into what the agent is doing?

Through a practical, end-to-end architecture, we will walk through:

* Connecting Copilot Studio agents to Microsoft Fabric using modern integration patterns (including MCP and connected agents)
* Designing data-aware agents that are grounded, secure, and reliable
* Applying Responsible AI principles such as data governance, least privilege access, and transparency
* Monitoring and controlling agent behavior to ensure trust at scale

By the end of this session, you will have a clear understanding of how to move from data to decisions—building AI agents that not only work, but work responsibly in real enterprise environments.