As organizations accelerate AI adoption through Microsoft 365 Copilot and generative AI capabilities, success depends not only on licensing and enablement but on data readiness, security posture, and strong governance foundations.

This session explores what it truly means to be AI ready in Microsoft 365, focusing on the intersection of data, identity, security, compliance, and governance. Attendees will learn how Copilot interacts with organizational data, why oversharing and poor information architecture can introduce risk, and how to establish governance guardrails that enable innovation while protecting sensitive information.

The session covers practical considerations for preparing Microsoft 365 environments for AI, including data access controls, sensitivity labels, retention policies, and monitoring, as well as governance models for Copilot usage and extensibility. Participants will leave with a clear understanding of how to deploy AI responsibly, securely, and at scale across Microsoft 365.

What You’ll Learn
1. What AI readiness means in the context of Microsoft 365 and Copilot
2. How Microsoft 365 Copilot uses organizational data and permissions
3. Common risks related to data oversharing and unmanaged access
4. Governance principles for secure and compliant AI adoption
5. The role of Microsoft Purview, identity, and policy controls in AI governance
6. How to align AI enablement with organizational risk, compliance, and business goals