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GenAI-Powered Fraud Intelligence Reducing Fraud Losses by 32%

Case Studies

From Reactive Fraud Detection to Proactive Fraud Intelligence with Enterprise AI

At a glance

Client: Leading Regional Commercial Bank
Industry: Banking & Financial Services
Location: North America


A leading regional commercial bank modernized fraud detection by implementing an AI-driven fraud intelligence framework that combines real-time ML scoring with GenAI-powered behavioral intelligence.

The solution enabled real-time detection of emerging fraud patterns while minimizing friction for legitimate customers and improving regulatory transparency through explainable AI.

This case study demonstrates how an Enterprise AI approach can reduce fraud exposure, lower false positives, accelerate investigations, and improve real-time risk visibility across channels.


Download Extended Case Study

Technology

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  • Google-cloud-platform KPI Partners
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As digital banking volumes surged, the bank’s rule-based detection struggled to keep pace with increasingly sophisticated fraud patterns. High false positives and manual reviews created investigation backlogs, while cross-channel visibility across cards, ACH, and digital onboarding remained limited.

KPI Partners implemented an AI-driven fraud intelligence platform with real-time ML scoring, GenAI-based behavioral deviation detection, cross-channel signal correlation, automated case prioritization, and an explainable AI layer designed for audit and compliance transparency.

The result was measurable business impact, including a 32% reduction in fraud losses, a 41% reduction in false positives, 55% faster case resolution, and $18M annualized fraud savings, along with real-time dashboards for executive risk visibility.

 

 

Download the Extended Case Study (.pdf)

 

 

 

See How a Regional Commercial Bank Reduced Fraud Losses by 32% with GenAI-Powered Fraud Intelligence

 

 

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