AI Compliance for Digital Assets & Crypto
Taught by someone who has built digital-asset systems — exchange, custody and DeFi — and brings AI into crypto compliance work.
Digital-asset firms are putting AI into transaction monitoring, screening and customer due diligence — areas where a wrong call can mean missed financial crime or a regulator’s enquiry. The hard part is using AI to work faster without creating new gaps you then have to explain. This session is built for the MLRO (the person who signs off on money-laundering controls) and the risk leads who carry that exposure.
Founders, MLROs and Heads of Risk at exchanges, custody providers and digital-asset firms.
Bring AI into your compliance and financial-crime work without creating new regulatory exposure — and explain it to your regulator.
The FATF (the global standard-setter for anti-money-laundering) has extended the full weight of AML/CFT rules to crypto firms, including the Travel Rule — the requirement to pass sender and recipient information alongside a transfer. Supervisors expect the same rigour from a digital-asset firm as from a bank, and they expect you to explain how any AI in your controls actually works. “The system flagged it” is not an answer a regulator accepts on its own.
- Judge where AI genuinely helps your crypto compliance work and where it opens new gaps
- Fit AI into transaction monitoring, AML/CFT screening and Travel Rule information-sharing
- Know which wallet, custody and on-chain risks AI can surface and which it will quietly miss
- Recognise when an AI alert — or the absence of one — should not be trusted on its own
- Evidence to a regulator that your AI-assisted controls are sound and properly overseen
- Map each AI tool to the risk it covers and the human check that backs it
A starting agenda — every session is shaped around your team, your tools and the risks you’re managing.
- Where AI helps (and hurts) crypto compliance teams today A grounded look at where AI genuinely helps crypto compliance teams today and where it creates new blind spots.
- AI in transaction monitoring, AML/CFT and the Travel Rule How AI fits into transaction monitoring, AML/CFT screening and meeting the FATF Travel Rule’s information-sharing requirements.
- Wallet, custody and on-chain risk that AI can and can’t catch The wallet, custody and on-chain risks AI can surface — and the ones it will quietly miss — so you know where human judgement is still essential.
- Avoiding false confidence: when not to trust an AI alert How to avoid false confidence: recognising when an AI alert, or the absence of one, should not be trusted on its own.
- Showing your regulator that your AI controls are sound How to evidence to a regulator that your AI-assisted controls are sound, explainable and properly overseen.
- A control map your compliance team can put to work immediately A control map your compliance team can put to work straight away, linking each AI tool to the risk it covers and the human check behind it.
Every team’s needs are different. We’re happy to talk it through and tailor the session to yours — let’s talk →
Bring "AI Compliance for Digital Assets & Crypto" 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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