AI Agent Enterprise Insurance Fraud Detection System Active

Risk Scoring Agent

Applies **Weighted Logistic Regression** model (v2.4.

View Core Logic Back to Worker

Parent Worker Enterprise Insurance Fraud Detection System

Agent ID

risk-scoring

Portal Nexgile-InsurServe Core - Nexgile-InsurServe

Sector Back-Office Operations & Delegated Management Services

Status

Operational

Problem Statement

The challenge addressed

Combining multiple fraud signals into a unified risk score requires calibrated weighting and confidence interval estimation.

Core Logic

How the agent solves it

Applies **Weighted Logistic Regression** model (v2.4.1, validated on 50,000+ cases) with O(n) complexity. Feature weights: Document Authenticity (-2.8, 35%), Pattern Similarity (2.4, 30%), Behavioral... Applies **Weighted Logistic Regression** model (v2.4.1, validated on 50,000+ cases) with O(n) complexity. Feature weights: Document Authenticity (-2.8, 35%), Pattern Similarity (2.4, 30%), Behavioral Anomaly (1.9, 20%), Network Risk (1.5, 15%). Outputs 0-100 risk score with **95% confidence intervals**.

System Navigation

Explore related components

Portal

Nexgile-InsurServe Core - Nexgile-InsurServe

Digital Worker

Enterprise Insurance Fraud Detection System

Current Agent

Risk Scoring Agent

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