
The AI Promise vs The Reality - What's Your Backup Plan?
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Mar 24, 2026 Mark Sully, Managing Director of Commercial Affairs (EMEA & APAC) with deep fintech and regtech experience, cuts through AI hype in AML. He contrasts flashy claims with real use cases. He warns about data shortfalls, delayed rollouts and rising alert volumes. He pushes contingency plans, realistic timelines, and using managed services to keep compliance on track.
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Start With The Use Case Not The Hype
- Do start AI projects with a clear use case, not the tech itself, to avoid vague promises and misaligned expectations.
- Mark Sully warns banks often chase AI as a buzzword to gain budget without defining whether it's for TM, sanctions screening, or KYC.
Global Pressure Creates Uniform AI Questions
- Insight: Conversations about AI are identical across regions, driven by C-suite pressure for cheaper, faster, leaner compliance.
- Mark heard the same questions in Hong Kong, Singapore, Frankfurt, Dublin and the UK about timing, capabilities, and job impact.
Define Timeframes Data And Contingencies
- Do define realistic timeframes, required data sets, expected outcomes, and contingency plans before committing to AI rollouts.
- Mark asks IT teams when they can deliver and whether there's a backup if models or integrations are delayed and regulatory deadlines loom.
