Panel discussion moderated by Marc Hodes

As AI systems evolve from assistants to autonomous agents, enterprises need a clear operating model, decision rights, governance, delivery standards, and accountability. This panel explores what an effective AI Center of Excellence looks like in practice: who sits on the team, how it partners with business units, how it sets standards for security and compliance, and how it scales successful use cases across the organisation.

We’ll discuss what the CoE should centralise vs federate, how to avoid becoming a bottleneck, and how to maintain human oversight for risk management and quality. Attendees will leave with patterns for structuring an AI CoE that accelerates outcomes while reducing risk.