Stay ahead of the regulator, not one letter behind.
Compliance Intelligence identifies money-laundering patterns and early markers of player harm, then prioritises cases so your compliance team focuses where it matters.
GAMWIT Compliance Intelligence is an AI model for gaming operators that detects anti-money-laundering (AML) patterns and responsible gaming risk markers from player behaviour, helping teams cut review cost and meet regulatory expectations.
Signs this vital needs attention
Inside the model
Sample signals: deposit-withdraw cycling · loss chasing · late-night play spikes · rapid limit changes · stake escalation
What healthier looks like
Reduced compliance cost
Fewer false positives, faster reviews.
Safer players
Intervene on behavioural markers, not just self-exclusion.
Regulator confidence
Show a consistent, data-driven process.
Compliance Intelligence questions
Does GAMWIT make compliance decisions for us?
No. It surfaces and ranks cases with the reasons behind each one. Your compliance officers make the decision.
Which regulations does it support?
Models are built on AML and responsible gaming behaviour patterns common across regulated markets, and we adapt alerts to your jurisdiction's requirements.
How do you handle player privacy?
We never collect PII and we sign GDPR and Data Processing Agreements.
Machine learning for anti-money laundering in iGaming
How deduplication, anomaly detection and money-journey tracking help gaming operators catch money laundering, and what makes an AML model fit for iGaming.
Read article →Responsible gaming · 5 min readResponsible gaming in the age of machine learning
How operators use behavioural data, risk scores and real-time anomaly detection to spot problem gambling early and intervene with personalised messages.
Read article →See what GAMWIT would find in your data.
Book a 30-minute demo with our gaming analysts, or start with a health check to see where your business is leaking value.