Case Study
Real-Time Fraud & Scam Detection
Implemented predictive AI models for a financial institution, identifying fraudulent transactions instantly and preventing major losses.
Challenge:
A fintech company faced growing losses due to fraudulent transactions that slipped past traditional rule-based detection systems.
Solution:
Elevra developed a real-time AI model that analyzed transaction patterns and flagged suspicious activity instantly using anomaly detection and machine learning algorithms.
Results:
Fraudulent transactions were reduced by 92%, saving millions annually while maintaining a frictionless experience for legitimate users.