Many organizations have successfully introduced Microsoft 365 Copilot, but few have a clear roadmap for what comes next. After the initial excitement of AI-powered productivity, leaders often struggle to determine how to move from individual use cases to team transformation and ultimately to AI agents that can automate and execute business processes.

This session introduces a practical Enterprise AI Maturity Model that helps organizations progress through four stages of AI adoption: personal productivity, team collaboration, process optimization, and autonomous agents. Attendees will learn how leading organizations in healthcare, manufacturing, and professional services are applying AI at each stage while balancing governance, risk, change management, and value realization.

Through real-world examples, proven adoption patterns, and measurable success indicators, you'll leave with a framework for assessing your organization's current state and building a roadmap to achieve sustainable business outcomes with AI.

Attendees will leave with:
- A practical framework for assessing AI maturity, from individual Copilot usage to enterprise-scale AI agents.
- An understanding of the governance, change management, and data readiness requirements needed at each stage of the maturity model.
- An actionable roadmap with key metrics, success criteria, and investment priorities to accelerate AI adoption and business value.

First public delivery