Case Study: a mid-market commercial bank cuts fraud losses with Flynaut’s AI-powered fraud detection

Mid-Market Commercial Bank cuts fraud losses by $4.2M with Flynaut

Flynaut partnered with Mid-Market Commercial Bank, a financial institution serving 1.6 million customers, to address its significant fraud detection challenges. The bank's outdated, rules-based system generated 14,000 daily alerts with a high false positive rate, overwhelming its 34 analysts and allowing sophisticated fraud to go undetected.

Flynaut implemented an AI-powered fraud detection solution using an ensemble of XGBoost, LSTM, and Graph Neural Network models. This system analyzed behavioral patterns in real-time, scoring transactions within 12ms. The results were substantial: the fraud detection rate increased to 91%, false positives were reduced by 67%, and annual fraud losses were cut by $4.2 million. Flynaut's solution also greatly improved operational efficiency for the bank's fraud operations team.