AI Fraud Detection Slashed Financial Losses by 67%
The Challenge
FinEdge Capital was experiencing a 2.3% fraud rate across their payment processing platform — triple the industry average. Their rule-based system generated excessive false positives, blocking legitimate transactions and frustrating customers. Manual review queues were overflowing and the team was reactive rather than proactive.
Our Solution
Block Logic designed and deployed a real-time ML fraud detection pipeline using gradient boosting and anomaly detection models trained on 18 months of transaction history. We implemented a full MLOps infrastructure for continuous model retraining as fraud patterns evolve, and integrated directly with their existing payment gateway via REST API. The system processes 10,000+ transactions per minute with sub-50ms latency.
Results Delivered
Within 90 days of deployment, fraud losses dropped 67%, false positive rates fell 84%, and the manual review queue was eliminated entirely. The system paid for itself in under 6 weeks.
"Block Logic delivered a production-ready solution in 11 weeks — on budget, no surprises whatsoever. The ROI was visible within the first month."
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