As organizations increasingly adopt AI agents, digital workers, and tools like Microsoft 365 Copilot, traditional models of ownership and accountability are breaking down. When AI systems generate content, make recommendations, or take action, it becomes unclear who is responsible for the outcomes.

This session explores how AI is reshaping governance, risk ownership, and decision accountability in modern workplace environments. It examines the growing gap between technical implementation and organizational responsibility, where engineering teams build systems, security teams identify risks, and business leaders rely on AI-driven outputs without clear ownership models.

Drawing on real-world experience in cyber risk and IT governance, this session provides practical approaches for defining ownership, assigning accountability, and establishing governance structures that support AI adoption without introducing unmanaged risk.

Attendees will leave with actionable strategies to clarify ownership, improve accountability across teams, and govern AI-driven systems in a way that enables both innovation and responsible use.