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AI Risk for Boards & Compliance Teams

Our flagship. AI know-how brought into the room that answers for the risk, framed around the decisions a board owns.

Your board is being asked to approve AI systems — and, in many firms, digital-asset activity — it was never trained to scrutinise. When one of those systems makes a bad customer, credit or financial-crime decision, the board is the body that answers for it. This briefing gives the people at the top the language and the questions to challenge those decisions before they become a public problem.

Who it’s for

Boards, audit committees, CROs, Heads of Compliance and MLROs at banks, payments, asset managers and digital-asset firms.

What your team walks away with

Challenge an AI or crypto risk decision in your own firm — and ask the questions that surface real exposure before it becomes a headline.

Why this matters now

Regulators have moved from broad principles to concrete expectations. Across major markets, supervisors increasingly name the board and senior management as the ultimate owners of AI risk, holding them to principles of fairness, accountability and transparency. The same theme runs through the EU AI Act and established model-risk supervision. “We left it to the tech team” is no longer a defensible answer in the room where sign-off happens.

What you’ll learn
  • Tell apart the AI risks that genuinely sit with a regulated firm from the vendor hype around them
  • Ask the handful of probing questions that expose weak AI controls before you approve a system
  • Recognise what regulators expect when AI touches financial crime, fraud and customer decisions
  • Understand the extra risks your board signs off on when the firm holds, moves or services digital assets
  • Draw clear accountability lines between the board, the risk function and the business for any AI decision
  • Run your committee's AI and crypto sign-offs against a repeatable oversight checklist
What we cover

A starting agenda — every session is shaped around your team, your tools and the risks you’re managing.

  1. Where AI actually creates risk in a regulated firm (and where the hype is wrong) A clear, hype-free map of where AI genuinely adds risk in a regulated firm — bad decisions, opaque models, data leakage — and where the marketing is overstating things.
  2. The questions a board should ask before approving any AI system A short set of questions any board member can ask before approving an AI system, so a confident vendor pitch doesn’t substitute for real scrutiny.
  3. AI in financial crime, fraud and customer decisions: what regulators expect How regulators expect AI to be handled when it touches financial crime, fraud detection and decisions about customers, including the need to explain and document outcomes.
  4. Digital assets and crypto: the extra risks your board is signing off on The additional risks a board takes on when the firm holds, moves or services digital assets — custody, on-chain exposure and the financial-crime rules that apply.
  5. Who owns AI risk — drawing clear lines between the board, risk and the business How to draw clean accountability lines so it’s never unclear whether the board, the risk function or the business owns a given AI decision.
  6. A simple oversight checklist your committee can adopt straight away A plain oversight checklist your committee can adopt in its next meeting and reuse for every future AI or crypto approval.

Every team’s needs are different. We’re happy to talk it through and tailor the session to yours — let’s talk →

Bring "AI Risk for Boards & Compliance Teams" to your team.

A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.

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