Building AI Governance That’s Audit-Ready

About this Event

Most organizations have invested in AI governance. Most are not as audit-ready as they think. Schellman’s 2026 State of AI Governance Report found that while 74% of organizations say they could pass an AI compliance audit today, only 27% have governance programs that are fully mature.

Join Danny Manimbo and Joe Sigman from Schellman’s AI governance practice for a practical discussion on what’s driving that gap — and what it takes to build a program that holds up to independent assessment. Drawing directly on the report’s findings, this session covers where governance investment breaks down operationally, how accountability structures contribute to blind spots, and the steps organizations can take to move from a developing program to one that is enforceable, documented, and audit-ready.

Key Takeaways

• Why funding and policy alone don’t produce audit-ready governance — and what operational maturity actually requires
• How to structure accountability across your organization so governance is enforceable, not just documented
• What the data shows about agentic AI oversight gaps and how mature organizations are addressing them
• Practical steps to assess your current program against audit requirements and close the gaps before they become a liability

Who Should Attend?

This session is designed for compliance leads, risk officers, IT security teams, and executive leaders responsible for AI governance programs at organizations scaling AI across the enterprise. It is especially relevant for organizations that have funded AI governance initiatives but are uncertain whether their programs would hold up to independent assessment or emerging regulatory requirements.