Every major regulatory failure follows a pattern. A suspicious transaction isn't flagged without warning signals — velocity spikes, structuring behaviour, counterparty anomalies. A compliance gap doesn't materialise overnight. The signals are there. The industry just wasn't processing them fast enough, or automatically enough, to act before the FCA did.
We documented AML and regulatory failure patterns — the specific pre-event signal sequences that precede regulatory action, failed audits, and licence revocations. Not from a generic dataset. From direct research and case-by-case analysis, extracting the compliance patterns that standard rule-based monitoring tools consistently miss.
We then wired that engine to transaction data streams, infrastructure monitoring, regulatory framework mappings, and SAR generation workflows. The result: a platform that detects AML anomalies, scores severity, generates regulatory reports, and compiles audit evidence — automatically, in under 48 hours.