How ClearPay Detected $2.3M in Fraud with AI Analytics
ClearPay Financial deployed Venizia Analytics to build real-time fraud detection models, identifying fraudulent transactions that legacy systems missed.
The Challenge
ClearPay Financial, a digital payments platform processing over 500,000 transactions daily, was losing approximately $400K monthly to fraudulent transactions. Their rule-based fraud detection system caught obvious patterns but consistently missed sophisticated fraud schemes that evolved faster than manual rule updates could keep pace.
The Solution
ClearPay deployed Venizia Analytics to build and operate real-time fraud detection models:
- Real-time scoring evaluates every transaction in under 50ms, assigning a fraud probability score without impacting transaction speed
- Behavioral profiling builds dynamic models of normal user behavior, flagging deviations that may indicate account compromise
- Network analysis identifies fraud rings by mapping relationships between accounts, devices, and transaction patterns
- Adaptive learning continuously updates models based on confirmed fraud cases and false positive feedback
- Explainable alerts provide investigators with clear reasoning for each flagged transaction, reducing investigation time by 60%
The Results
Over the first 6 months, the impact was significant:
- Detected $2.3M in fraudulent transactions that the previous system would have missed
- False positive rate decreased from 3.2% to 0.8%, meaning fewer legitimate customers were inconvenienced
- Average investigation time dropped from 45 minutes to 12 minutes per case
- New fraud patterns were identified and blocked within hours instead of weeks
- Overall fraud losses decreased by 67%
Looking Ahead
ClearPay is now expanding their use of Venizia Analytics beyond fraud detection into customer risk scoring and regulatory compliance monitoring. The same platform that catches fraudsters can also identify customers at risk of churn, flag unusual account activity for compliance review, and optimize transaction routing for cost efficiency.
The key insight: investing in AI analytics for fraud detection doesn’t just prevent losses — it builds an analytical foundation that creates value across the entire business.