Case Study: Large Financial Service Company achieves 30% fraud reduction and 10X faster real-time detection with H2O.ai

H2O.ai for Payments Fraud

Large Financial Service Company was battling rapidly evolving payments fraud, growing data volumes, and the risk of customer churn from false positives. To modernize detection and enable real-time decisioning, they partnered with H2O.ai and adopted H2O Driverless AI together with the H2O open-source platform and ultra-low-latency MOJO scoring.

H2O.ai implemented automated feature engineering, big-data model training and low-latency scoring so models could be built and deployed far faster. The work cut model development time from six months to about one month, enabled 6X faster model building, delivered 10X faster real-time fraud detection and reduced fraud by 30%, contributing to tens of millions of dollars in increased revenue.