Real-time fraud detection for frontline banking teams

Prompt engineering
Voice recognition
Real-time processing
Fraud detection
NLP analysis
GPT 4o
In use
GPT-4o Realtime
API
React
Frontend
.NET
Backend
MSSQL
Database
Case Summary
FraudAI Monitor is a real-time AI assistant built to support bank tellers and call center agents during live conversations with customers. It listens to interactions and flags potential fraud in progress—helping staff recognize scams like social engineering, impersonation, and coercion, especially in high-pressure scenarios where fraud is difficult to spot.

Challenges

Solutions
Surge in AI-powered social engineering

Customers were increasingly falling victim to highly convincing phone scams, often transferring money under duress or to fraudulent accounts.

Staff unable to detect fraud in real time

Even experienced bank employees struggled to recognize signs of fraud during calls, especially when scammers used psychological pressure or impersonated family members.

Manual fraud detection tools too slow

Existing fraud tools operated post-factum, analyzing transactions after money had already left the account—too late to intervene.

Solutions

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Real-time audio monitoring and risk analysis

FraudAI Monitor listens to live conversations and applies NLP-driven heuristics to flag suspicious language, high-pressure tactics, and known scam triggers.

Internal fraud data integration

Integrates with internal lists of known scam numbers, SSNs, and flagged phrases, and actively searches the web for newly identified fraud indicators.

Future-ready architecture for integrations

Can be integrated with external threat intel and dark web data.

Designed for low-disruption deployment

Alerts are delivered in a way that supports frontline staff rather than distracting them, enabling them to act quickly without derailing customer interactions.

Interested to implement a similar AI-driven solution?
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