Invite-only committee of executives that are senior risk, regulatory, and AI leaders, building a defensible dollar measure of AI risk.
Risk identified, estimated, aggregated, and priced in money. Grounded in established risk science, mapped to recognised frameworks, and published as an open standard that anyone can cite.
The AI operational risks that matter, across every system that runs AI.
Likelihood and impact, grounded in established risk science.
Exposures rolled up across systems into one coherent picture.
Turned into a monetary ($) exposure, published as an open standard.
Built on established risk science and mapped to the frameworks your auditors recognise, then published as an open standard, not a product.
Senior judgement. Light commitment.
The council is designed around the reality that the people we want are busy. The build is done for you — what we ask is your standing and your challenge, not your time on the detail.
An observer seat alongside a small group of senior figures, each from a different field. A serious peer group, kept deliberately small.
A quarterly review and the occasional read of a draft. No homework, no technical grind.
Challenge the method and lend it standing, under the Chatham House Rule. Nothing attributed without your consent.
Senior figures from across industry who lend independence and standing, challenge the method, and ratify its release.
Does the build for you: the taxonomy, the quantification, the calibration and validation. So the seniors never carry the detail.
The same failure modes appear in a retail supply chain, a defence system, a clinical pathway, and a trading desk. The council is built to reflect that, with senior voices from each field at the table.