AI Agent Full Investigation Lifecycle System Active

Risk Scoring Agent

RISK_SCORING-type agent implementing ML ensemble methods (Logistic Regression, Bayesian classifiers, XGBoost). Aggregates weighted findings from all investigation agents, calculates composite risk scores with 95% confidence intervals, generates SHAP feature importance analysis, and produces natural language explanations for non-technical stakeholders.

View Core Logic Back to Worker

Parent Worker Full Investigation Lifecycle System

Agent ID

risk-scoring-agent

Portal Nexgile-PayGuardian Vault

Sector Vendor Payment Fraud Prevention & Procure-to-Pay Security

Status

Operational

Problem Statement

The challenge addressed

Final risk assessment requires aggregating findings from all agents into a unified, explainable risk score with regulatory-compliant documentation.

Core Logic

How the agent solves it

RISK_SCORING-type agent implementing ML ensemble methods (Logistic Regression, Bayesian classifiers, XGBoost). Aggregates weighted findings from all investigation agents, calculates composite risk sco... RISK_SCORING-type agent implementing ML ensemble methods (Logistic Regression, Bayesian classifiers, XGBoost). Aggregates weighted findings from all investigation agents, calculates composite risk scores with 95% confidence intervals, generates SHAP feature importance analysis, and produces natural language explanations for non-technical stakeholders.

System Navigation

Explore related components

Portal

Nexgile-PayGuardian Vault

Digital Worker

Full Investigation Lifecycle System

Current Agent

Risk Scoring Agent

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