How to govern models, agents, and decisions at scale
Many institutions are moving quickly to deploy copilots, decision engines, and autonomous agents. The limiting factor is no longer the technology. It is trust.
This workshop focuses on how firms are building Trusted AI as a practical operating capability. Topics include AI governance, three-lines-of-defense models, explainability, model testing, technical controls, monitoring, drift detection, accountability, and audit readiness. The goal is to help institutions scale AI adoption while maintaining control, credibility, and regulatory confidence.