Batch and real-time screening of customers, counterparties and employees, with AI entity resolution on borderline matches and a written rationale for every decision.
Name screening produces the industry's most familiar queue: thousands of near-matches, each demanding the same manual ritual of checking name, date of birth and address, and almost all of them ending in 'not our customer'. The cost is not just the hours; it is the true match buried at position four hundred.
Batch and real-time screening against sanctions, PEP, adverse media and internal lists
Smart scores on every alert for true-match likelihood
AI entity resolution on borderline matches with chain-of-reasoning written out
Adverse media classification tuned to financial crime relevance, not celebrity gossip
Full lookback support via point-in-time lists
Runs against your existing list feeds or FabriK's Watch List Management. Batch onboarding for existing books plus real-time API for new relationships. Typical standalone go-live in weeks.
The transliteration problem is real: the OFSI Bank of Scotland fine illustrates exactly what a missed name match costs.