Soft2Bet’s AML approach moves requirements from policy documents to observable actions on its iGaming platform, where continuous monitoring tracks financial flows in real time.
The system evaluates each transaction against contextual data such as sudden changes in transaction size, unusual geolocation shifts or misuse of reward mechanics, allowing the platform to assess risk relevance beyond isolated events.
When activity meets predefined risk criteria, the platform issues a risk flag or monitoring alert, creating a distinct control point that separates flagged activity from the general transaction stream.
These risk signals do not constitute a final decision; instead, they prompt a subsequent review or escalation by operators, preserving a clear separation between automated monitoring and human judgment.
All alerts and their associated context are recorded on a dashboard, providing an auditable trail that operators can reference to verify that AML controls were applied and to support accountability within broader governance frameworks.