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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.

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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.

Who it’s for

Founders, MLROs and Heads of Risk at exchanges, custody providers and digital-asset firms.

What your team walks away with

Bring AI into your compliance and financial-crime work without creating new regulatory exposure — and explain it to your regulator.

Why this matters now

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.

What you’ll learn
  • 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
Curriculum

  1. Where AI helps (and hurts) crypto compliance teams today

    • Realistic uses of AI in crypto compliance: alert triage, screening, due-diligence support
    • Where AI introduces new blind spots a rules-based system didn't have
    • How generative AI tools fit (and don't) into a compliance workflow
    • Separating capability from vendor overpromising in digital-asset tooling
    • What stays a human judgement call regardless of the tool

  2. AI in transaction monitoring, AML/CFT and the Travel Rule

    • How AI-assisted monitoring differs from traditional rules and scenarios
    • Using AI to triage and prioritise alerts without missing real risk
    • Meeting the FATF Travel Rule: passing sender and recipient information with a transfer
    • Screening, sanctions and customer due diligence in a digital-asset context
    • How alerts feed suspicious-activity reporting and who stays accountable for it

  3. Wallet, custody and on-chain risk that AI can and can't catch

    • Blockchain-analytics basics: tracing flows and risk-scoring wallet addresses
    • Crypto-specific risks: mixers, privacy coins, chain-hopping and pseudonymous wallets
    • Custody and on-chain exposure risks that need human review
    • What blockchain analytics and AI surface well, and where they fall short
    • Combining on-chain signals with off-chain context for a real picture

  4. Avoiding false confidence: when not to trust an AI alert

    • Why a clean AI result is not proof that nothing is wrong
    • How false positives and false negatives show up in crypto monitoring
    • Building checks so analysts question, not rubber-stamp, AI output
    • Recognising when a model is operating outside what it was built for
    • Setting thresholds and overrides that keep humans in control

  5. Showing your regulator that your AI controls are sound

    • What 'explainable and overseen' means in a digital-asset compliance setting
    • Evidence a supervisor expects: testing, monitoring and human oversight records
    • Documenting why an AI-assisted control is fit for purpose
    • Demonstrating that 'the system flagged it' is backed by real judgement
    • Preparing for questions about how your AI tools actually work

  6. A control map your compliance team can put to work immediately

    • Building a map that links each AI tool to the risk it covers
    • Recording the human check behind every automated step
    • Identifying gaps where a risk has no clear control or owner
    • Tailoring the control map to your exchange, custody or DeFi operations
    • Keeping the map current as tools and typologies change

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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