As organizations embrace AI-powered agents to streamline operations and enhance user experiences, the foundation of success lies in the data model that powers them. This session explores what makes a data model “agent-ready” within the Microsoft Power Platform ecosystem. We’ll walk through real-world scenarios and design patterns that enable agents to reason, act, and learn effectively—leveraging Dataverse, Copilot Studio, and Power Apps.

Attendees will learn:

1. How to structure data for agents to support contextual understanding and dynamic interactions.
2. Best practices for modeling relationships, metadata, and permissions to ensure secure and scalable agent behavior.
3. How to align your data model with the capabilities of Copilot Studio and the broader Power Platform AI stack.
4. Lessons learned from enterprise implementations, including how to evolve legacy schemas into agent-optimized models.

Whether you're building your first agent or scaling across business units, this session will equip you with the architectural insights and practical guidance to build intelligent, resilient, and future-ready solutions.