How to Deploy AI Fraud Detection: 5 Implementation Pitfalls and Go/No-Go Checkpoints
Visa’s AI fraud detection system blocked more than $40 billion in fraudulent transactions in a single year — but Visa spent nearly a decade building the data infrastructure behind that result. Most banks that attempt to replicate it in 12 months fall well short: they produce false positive rates that alienate customers, suffer model drift that quietly erodes detection accuracy, and face regulatory auditors who reject black-box explanations. This guide is for the project lead or C-suite executive who has already decided to deploy AI fraud detection and now needs to avoid the most common and costly failures. ...