How AI Helped a Credit Union Reduce Fraud Losses and False Alerts by 40%

Success Story

How AI Helped a Credit Union Reduce Fraud Losses and False Alerts by 40%

A growing credit union faced rising fraud losses and investigation costs due to false alerts, slow response times, and outdated fraud detection systems. TechWish deployed an AI-powered anomaly detection platform that filtered real threats from noise in real time. With automated alerting, intelligent fraud triage, and audit-ready dashboards, the credit union saw a 40% drop in false positives, a 35% boost in fraud detection accuracy, and faster, more trusted service for millions of members.

Snapshot:

  • 40% drop in false positives using AI anomaly models
  • 35% improvement in fraud detection accuracy
  • 25% faster incident response with real-time alerts
  • Automated compliance tracking aligned to NCUA/FFIEC
  • Integrated with core banking and payments in <12 weeks