As organisations deploy growing numbers of AI agents, ranging from productivity copilots to more autonomous systems, the opportunities expand rapidly. At the same time, this scale introduces real challenges, including overlapping agents, unclear ownership, inconsistent quality, and increased compliance and security risk. When anyone can create a new agent, visibility and control can quickly erode. The key question becomes who is accountable for agent oversight in your organisation.

This session presents a practical approach to sustainable agent adoption, grounded in lessons learned from multiple real world customer scenarios. By establishing clear governance practices, organisations can enable innovation while maintaining security, compliance, and trust. Using Agent 365 and Copilot Studio, you will learn how to define ownership, set consistent standards, and maintain central visibility across your agent environment. Effective governance is not a constraint on progress. It is the foundation that allows organisations to scale AI safely and responsibly.

Key Takeaways

- Why large scale AI agent adoption requires clear rules, roles, and accountability, not just technology.

- How governance frameworks empower creators while protecting sensitive data and meeting compliance requirements.

- How lifecycle management and visibility reduce the risk of duplicate, unmanaged, or non compliant agents.

- A practical governance model that enables rapid innovation without sacrificing control or oversight.