Risk Appetite Dinner - London

Could You Produce the Audit Trail? An Evening for Risk Leaders on AI Accountability

Risk Appetite Executive Dinners are an invitation-only global thought leadership series for senior risk executives responsible for navigating uncertainty, protecting enterprise value, and enabling their organisations to take the right risks.

Dinner Experience

The dinner is set at Fogo de Chão Bishopsgate, in the heart of London. This seated executive dinner is intentionally designed to slow the pace, encourage open dialogue, and foster meaningful peer connections. Attendance is strictly limited to ensure depth of discussion and a consistent level of seniority around the table.

Discussion Focus

One question drives the evening: if a regulator asked for the audit trail behind a specific AI decision tomorrow, could you produce it? Most programs can't, not from lack of policy, but because no one owns the full decision path, the reasoning behind it, or the pace it moves at. That's where risk leaders are talking now: named accountability, decision-level audit trails, and governance built for AI speed off the record, away from vendor pitches.

Why Attend

This invitation-only dinner is hosted by Michael Rasmussen, Founder of GRC 20/20 Research, analyst at GRC Report, and host of the Risk Is Our Business and Hitchhiker's Guide to the GRC Technology Galaxy podcasts. It brings together a carefully curated group of CROs, CCOs, and GRC executives for candid, off-the-record discussion. This is not a vendor pitch, conference panel, or marketing event. It is a high-trust forum for peer-level dialogue among executives who will be the ones answering for their organisation's AI decisions.

What to Expect

This exclusive London dinner delivers candid peer dialogue on AI governance and accountability. Through off-the-record discussion on building decision-level audit trails, establishing named accountability for AI decisions, and designing governance frameworks for AI speed, participants engage with fellow risk leaders addressing how to ensure organisations can demonstrate the reasoning and accountability behind their AI decisions to regulators and stakeholders.