AI Agent Multi-Agent Eligibility Intelligence Digital Worker Active

Fraud Detection Agent

Runs ML fraud detection model against 50,000+ historical fraud cases. Analyzes employer hour reporting patterns for inconsistencies, performs social network analysis to detect fraud rings, checks for suspicious employer-member relationships, calculates fraud risk score (0-100), and clears members for standard or enhanced processing.

View Core Logic Back to Worker

Parent Worker Multi-Agent Eligibility Intelligence Digital Worker

Agent ID

fraud_detector

Portal Nexgile-RiskMind Platform

Sector Taft-Hartley Multi-Employer Benefit Funds

Status

Operational

Problem Statement

The challenge addressed

Eligibility fraud through falsified hours, employer collusion, and identity manipulation costs funds millions. Pattern detection across employers and members is beyond human capability.

Core Logic

How the agent solves it

Runs ML fraud detection model against 50,000+ historical fraud cases. Analyzes employer hour reporting patterns for inconsistencies, performs social network analysis to detect fraud rings, checks for... Runs ML fraud detection model against 50,000+ historical fraud cases. Analyzes employer hour reporting patterns for inconsistencies, performs social network analysis to detect fraud rings, checks for suspicious employer-member relationships, calculates fraud risk score (0-100), and clears members for standard or enhanced processing.

System Navigation

Explore related components

Portal

Nexgile-RiskMind Platform

Digital Worker

Multi-Agent Eligibility Intelligence Digital Worker

Current Agent

Fraud Detection Agent

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