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Compliance Intelligence · AI model

Responsible Gaming

Spot early signs of harm while a player is still playing.

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In short

GAMWIT's Responsible Gaming model scores players on behavioural markers of harm, such as deposit escalation and loss chasing, so you can intervene early with the right message.

What it looks at
  • Deposit escalation over 7, 15 and 30 days
  • Loss chasing
  • Late-night play spikes
  • Rapid limit changes
  • Stake escalation
What you get
  • Harm risk score for every player
  • Threshold alerts for intervention
  • Personalised message triggers
  • Evidence for regulators
Who uses it

Responsible gaming, compliance and player safety teams

Part of Compliance Intelligence. Runs on GAMWIT's 500+ gaming variables with no player PII.

From the blog · 5 min read

Responsible 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
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See what GAMWIT would find in your data.

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