AI Agent Workforce Analytics & Intelligence Digital Worker Active

Attrition Prediction Agent

## XGBoost Classification with SHAP Explainability Scores all employees using XGBoost classifier (AUC-ROC 0.847) with SHAP-based factor explanations showing contribution direction and magnitude.

View Core Logic Back to Worker

Parent Worker Workforce Analytics & Intelligence Digital Worker

Agent ID

AttritionPredictionAgent

Portal Nexgile-Virtuoso Command

Sector Customer Experience Services / GigCX (Gig Customer Experience)

Status

Operational

Problem Statement

The challenge addressed

## Employee Turnover Risk Identification Identifies which employees are at elevated risk of leaving before they resign, enabling proactive retention interventions that preserve institutional knowledg...

Core Logic

How the agent solves it

## XGBoost Classification with SHAP Explainability Scores all employees using XGBoost classifier (AUC-ROC 0.847) with SHAP-based factor explanations showing contribution direction and magnitude. Outp... ## XGBoost Classification with SHAP Explainability Scores all employees using XGBoost classifier (AUC-ROC 0.847) with SHAP-based factor explanations showing contribution direction and magnitude. Outputs risk levels (Critical/High/Medium/Low), top contributing factors (scheduling trends, engagement, pay competitiveness), personalized intervention recommendations, retention probability estimates, and replacement cost calculations. Generates cohort analysis by tenure bands and comprehensive intervention plans.

System Navigation

Explore related components

Portal

Nexgile-Virtuoso Command

Digital Worker

Workforce Analytics & Intelligence Digital Worker

Current Agent

Attrition Prediction Agent

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