Client Context
A European payment processor handling 2M+ daily transactions across debit, credit, and digital wallet channels.
The Challenge
Rule-based fraud systems generate excessive false positives (blocking legitimate transactions) while missing sophisticated fraud patterns. Organised fraud rings adapt to rules within weeks of deployment. Customer complaints about blocked legitimate transactions are damaging retention.
Our Approach
We deploy graph neural networks that detect fraud ring patterns invisible to traditional rule-based systems, combined with real-time transaction scoring that evaluates 200+ features per transaction in under 50ms. The system adapts to new fraud patterns continuously.
Timeline: 20 weeks
The Results
- Fraud losses projected to fall by 38%
- False positives expected to reduce by 72%
- Fraud ring patterns detected that are invisible to rule-based systems
- Legitimate transaction approval rate projected to improve by 12%
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