As organizations rapidly adopt tools like Microsoft 365 Copilot, AI agents, and digital workers, many are discovering that traditional governance models are not equipped to manage AI-driven environments.

This session explores how organizations can establish governance frameworks that provide control, accountability, and visibility across AI-enabled workflows without slowing innovation. It examines key challenges such as data access, prompt-based interactions, decision accountability, and the rapid expansion of AI capabilities across business functions.

Drawing on practical experience in governance and cyber risk, the session outlines how to implement governance structures that align with Microsoft AI ecosystems while supporting secure and scalable adoption. Attendees will gain insight into how to move from reactive controls to proactive governance that enables organizations to confidently deploy AI technologies.