What problem does it solve?
Screening customers against sanctions and PEP lists is repetitive, time-consuming, and easy to document inconsistently, especially when you must assess false positives and escalate uncertain cases.
Core Features & Use Cases
- Multi-database sanctions and PEP screening across 12+ sources (e.g., OFAC, EU, UK, UN, Interpol, OpenSanctions, and multiple PEP datasets).
- False positive assessment with HITL decision gates using name similarity, DOB, nationality, location, evidence/photograph signals, and contextual support.
- Regulatory-style reporting and escalation briefs for TRUE MATCH, FALSE POSITIVE, and UNCERTAIN outcomes, including documentation artifacts.
Use case example: You onboard a customer and beneficial owners, run screening across relevant databases, then generate a manager/MLRO escalation brief only for true matches or unclear cases while documenting why likely false positives are accepted.
Quick Start
Run screening for a customer name and attributes by invoking /kyc:onboard-interactive with the customer identity and risk context.