Transforming Manual Checks into Continuous LLM-Powered Risk Management

Prompt engineering

GPT-4o

In use

GPT-5 mini

In use

React

Frontend

.NET

Backend

Puppeteer Sharp

For web page scan

MSSQL

Database

Case Summary

We developed a generative AI-powered system that monitors business websites continuously and supplements findings with a targeted web search for external threats. This dual-layer approach ensures early detection of suspicious changes, risky contact details, and other fraud indicators.

Static Checks Quickly Become Outdated

Traditional KYB processes involve periodic manual checks, creating gaps where suspicious changes go unnoticed.

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Manual Monitoring is Resource-Intensive

Compliance teams spend significant time regularly reviewing websites, diverting resources from higher-value tasks.

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Missing Subtle Signs of Risk

Human teams often overlook subtle or incremental changes in content, missing early indicators of potential fraud or compliance violations.

AI-Powered Continuous Scanning

Our solution automatically scans websites, immediately identifying changes that deviate from expected content or declared business operations.

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External Web Search Intelligence

Cross-references website content with web sources to spot fraudulent phone numbers, email addresses, verify physical location, and flag additional threats.

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Instant Reports

Merges findings into a downloadable and editable document for underwriters.

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Proactive Risk Management

Real-time alerts empower compliance teams to respond immediately, significantly reducing risk exposure before financial or reputational damage occurs.