Case Study: a UK-based NBFC Finance reduces manual fraud reviews by 62% with Zealous System's AI Fraud Triage Agent

UK-Based NBFC Finance cuts manual fraud reviews by 62% with Zealous System

A UK-based non-banking financial company (NBFC) faced a significant challenge with its rule-based fraud detection system, which generated over 12,000 alerts monthly. Over 90% of these alerts were false positives, creating a heavy manual workload for analysts who spent 15-20 minutes per alert gathering data from multiple systems. This led to delayed fraud responses, blocked legitimate transactions, and rising operational costs. Zealous System was engaged to address this problem.

Zealous System implemented an AI-powered fraud alert triage agent that integrated seamlessly with the client's existing systems. The solution automatically collected and enriched alert data, then provided explainable recommendations to either auto-close an alert, flag it for manual review, or escalate it as high-risk. This reduced the manual review workload by 62%, cutting monthly reviews from over 12,000 to approximately 4,500. The solution also slashed the average alert resolution time from 14 hours to just 3 hours, leading to fewer customer complaints.