AI Agent AI Agentic Eligibility Optimization System Active

Risk Scoring Agent

The Risk Scorer Agent applies logistic regression with L2 regularization across five risk factors: lapse probability, employer concentration, seasonal vulnerability, payment history, and trade economic outlook. It produces calibrated risk scores with confidence intervals and trend indicators for prioritized intervention targeting.

View Core Logic Back to Worker

Parent Worker AI Agentic Eligibility Optimization System

Agent ID

risk-scorer

Portal Nexgile-FINVEST Vault

Sector Financial Services / Insurance / Multiemployer Trust Fund Administration

Status

Operational

Problem Statement

The challenge addressed

Raw probability estimates don't account for member-specific risk factors like employer stability, trade outlook, or payment history that influence actual outcomes.

Core Logic

How the agent solves it

The Risk Scorer Agent applies logistic regression with L2 regularization across five risk factors: lapse probability, employer concentration, seasonal vulnerability, payment history, and trade economi... The Risk Scorer Agent applies logistic regression with L2 regularization across five risk factors: lapse probability, employer concentration, seasonal vulnerability, payment history, and trade economic outlook. It produces calibrated risk scores with confidence intervals and trend indicators for prioritized intervention targeting.

System Navigation

Explore related components

Portal

Nexgile-FINVEST Vault

Digital Worker

AI Agentic Eligibility Optimization System

Current Agent

Risk Scoring Agent

Here