How does Dojah reduce false positives in AML screening?
Peace Simon
Dojah minimizes false positives by using ML algorithms that accounts for typos, aliases, and name variations.
Dojah reduces false positives in AML screening by leveraging an AI-powered fuzzy matching algorithm combined with an advanced match scoring system.
Instead of relying solely on exact name matches, our system intelligently accounts for spelling variations, name rearrangements, typos, aliases, and similar patterns. Each potential match is assigned a relevance score, helping distinguish between true matches and coincidental similarities.
This layered approach improves screening accuracy, minimizes unnecessary alerts, and ensures that compliance teams can focus on genuinely high-risk cases while reducing operational noise.
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False Positives
AML Screening
Fuzzy Matching
Match Scoring
AI-Powered
Compliance
