Actionable AI Governance: A Roadmap from Design to Deployment

Leila Golchehreh, CIPP/E, CIPP/US, Co-founder, Chief Strategy Officer, Relyance AI

Phillip Lee, AIGP, CIPP/E, CIPM, FIP, Managing Director, Solicitor, Digiphile Services

John O’Brien, CIPP/E, CIPT, FIP, Head of Legal, Data Protection and AI, Revolut

Samantha Sayers, Global Head of Privacy, Risk and Compliance and Data Protection Officer, Bolt

Artificial intelligence is advancing too fast for traditional governance frameworks. Without the right guardrails, companies risk regulatory penalties, reputational harm and stalled innovation. Today’s institutions face complex questions around compliance, ethics and risk management, often without a clear playbook.

This session will explore how a strong AI governance framework — covering legal, ethical and technical controls — can enable innovation rather than hinder it. Delegates will gain insights into key global frameworks, including the NIST AI Risk Management Framework and the EU AI Act, and learn practical strategies for embedding governance from design through continuous monitoring. Participants will leave with a clear roadmap for building and maintaining trustworthy AI systems that not only meet regulatory requirements but also drive business value and strengthen public trust.

What you will learn:

• A detailed action plan you can take back to the office and put into practice.
• Strategies for effective governance during this period of hypergrowth and innovation when there is pressure to build AI at all costs, without burnout.
• The practical implementation of AI governance at companies and across teams.

Sponsored by: Relyance AI