A Wiley|Wilson Company
Financial Services

Smart Fraud Prevention for Regional Credit Union

A community credit union serving 45,000 members was getting hit with increasing fraud losses—$280K in the past year alone. Their legacy rule-based system blocked too many legitimate transactions, frustrating members and driving calls to their small support team. They needed enterprise-grade fraud protection without enterprise costs.

Client
Community Credit Union ($500M Assets)
Year
2025
Our Role
AI Solutions Partner
Duration
3 months
Microsoft AzureAzure Kubernetes ServiceAzure Key VaultPythonTensorFlowAzure Machine LearningSHAP ExplainabilityAzure Stream AnalyticsAzure Event HubsRedis Cache
Smart Fraud Prevention for Regional Credit Union

Overview

A community credit union serving 45,000 members was getting hit with increasing fraud losses—$280K in the past year alone. Their legacy rule-based system blocked too many legitimate transactions, frustrating members and driving calls to their small support team. They needed enterprise-grade fraud protection without enterprise costs.

Objectives

  • Reduce fraud losses by at least 60%
  • Cut false positives that frustrate members by 70%
  • Provide clear explanations for flagged transactions
  • Integrate with existing core banking system

The Challenge

Community financial institutions face the same sophisticated fraud attacks as big banks but without dedicated fraud teams or million-dollar budgets. This credit union's rules-based system couldn't adapt to new fraud patterns and blocked 1 in 10 legitimate transactions—damaging member relationships and creating support headaches.

Our Approach

01

Core Banking Integration

Connected securely to their existing core banking system, accessing transaction history without requiring IT staff or system changes.

02

Member Behavior Learning

Built AI models that learn each member's normal patterns—where they shop, typical amounts, usual timing—to spot anomalies without blocking legitimate activity.

03

Staff Empowerment

Created a simple dashboard showing why transactions were flagged, enabling their team to resolve cases in minutes instead of hours.

The Solution

We deployed a right-sized AI fraud detection system that learns member behavior patterns and adapts to new threats automatically. The system integrates with their existing core banking platform and provides clear explanations for every flagged transaction, empowering their small team to make confident decisions quickly.

Results & Impact

73%
Less Fraud Loss
78%
Fewer False Alerts
$205K
First Year Savings
4.2x
ROI in Year One

Key Learnings

Size Doesn't Limit Protection

Modern cloud AI makes enterprise-grade fraud detection accessible to community institutions. You don't need a Fortune 500 budget to protect your members.

Explanations Build Confidence

When staff understand why the AI flagged something, they trust it. Clear reasoning turned skeptics into advocates within the first month.

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