The fine is not a technology failure.
The technology worked exactly as the operator intended it to.
John Pierce, UKGC Director of Enforcement, at the GAMLG Annual Conference on June 10: AI AML systems "not delivering." Three recurring findings: inadequate white-label due diligence, poor documentation of rationale and decision-making, excessive dependence on financial thresholds rather than proactive monitoring.
The last finding is the one that matters.
When you monitor for financial thresholds and call it an AML system, you have built a documentation tool. The AI found the transaction. It flagged the amount. The record shows the system ran. Nobody asked what the money was for.
That is not compliance. That is evidence that you tried. Evidence and compliance are different things in a FATF assessment.
The UK faces its FATF review in 2027. The Commission is publishing a comprehensive AML risk assessment in July. Operators who treated deploying an AI tool as completing their AML obligation are about to discover what an audit looks like when the regulator reads the decision log and finds a flag with no human response attached to it.
I have been through this process from the operator side and from the ISO 27001 audit side. The finding is never "the system failed."
The finding is: the system ran and nobody was home.
That is the finding that becomes the fine.
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