Intelligent Attrition Prevention System
Deploys a coordinated team of nine specialized AI agents that autonomously analyze multiple HR data sources, predict flight risk with high accuracy, calculate precise financial impact, identify root causes, and generate personalized intervention plans with executive-ready briefings..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Analysis Launch Pad - Configure attrition risk analysis with ML model selection, analysis scope options, and real-time data pipeline status monitoring
Agent Orchestration Dashboard - Multi-agent collaboration showing Root Cause, Sentiment, Financial Impact, and Intervention Design agents with real-time execution trace
Workforce Risk Intelligence Briefing - Executive summary with key performance indicators, critical employee alerts, and financial impact overview
AI-Powered Analysis Complete - Key findings dashboard showing critical and high-risk employees, total financial exposure, potential savings, and actionable insights
AI Agents
Specialized autonomous agents working in coordination
Data Ingestion Agent
Employee data is scattered across multiple disconnected HR systems making comprehensive analysis impossible without manual data gathering.
Core Logic
Connects to eight enterprise HR systems simultaneously, fetches employee records, compensation data, and performance reviews through secure APIs. Validates data integrity and prepares a unified data pipeline for downstream agents. Processes thousands of records with real-time progress tracking.
Data Synthesis Agent
Raw data from multiple sources contains duplicates, conflicts, and inconsistencies that would compromise analysis accuracy.
Core Logic
Deduplicates employee records, resolves data conflicts across systems, normalizes salary and compensation data, maps organizational hierarchies, and builds unified employee profiles. Calculates derived metrics and quality scores each data source for transparency.
Pattern Detection Agent
Systemic organizational issues that drive attrition often remain hidden because they span multiple departments or emerge gradually over time.
Core Logic
Analyzes historical patterns to detect compensation compression, manager bottlenecks, career stagnation clusters, tenure cliffs, engagement anomalies, and workload imbalances. Identifies emerging patterns before they become critical organizational problems.
Risk Prediction Agent
HR teams cannot accurately predict which employees are likely to leave, making proactive retention efforts guesswork.
Core Logic
Loads ML prediction model v3.2.1, extracts feature vectors from synthesized employee data, runs ensemble predictions with confidence intervals. Generates individual risk scores categorized as Critical, High, Medium, or Low. Computes SHAP values for prediction explainability and validates against historical accuracy benchmarks.
Root Cause Analysis Agent
Knowing an employee is at risk is insufficient without understanding the specific drivers behind their dissatisfaction or flight risk.
Core Logic
Analyzes compensation competitiveness, career progression velocity, manager relationship quality, work-life balance indicators, and engagement trends. Correlates data points to identify primary drivers for each at-risk employee and builds causal relationship maps for targeted interventions.
Sentiment Analysis Agent
Quantitative HR metrics miss the qualitative signals hidden in survey responses, feedback comments, and communication patterns.
Core Logic
Processes engagement survey responses and free-text feedback comments using NLP. Detects sentiment trends over time, identifies recurring themes and concerns, and scores sentiment by category to provide leading indicators of employee satisfaction.
Financial Impact Agent
Leadership cannot prioritize retention investments without understanding the true financial cost of potential departures.
Core Logic
Calculates comprehensive replacement costs including separation expenses, vacancy costs, recruitment fees, onboarding investment, and indirect impacts. Estimates productivity loss during vacancy and ramp-up periods, assesses knowledge transfer risk, and computes team cascade effects. Generates department-level and organization-wide financial exposure summaries.
Intervention Design Agent
Even when at-risk employees are identified, HR teams lack data-driven guidance on which specific interventions will be most effective.
Core Logic
Matches evidence-based interventions to identified risk factors including compensation adjustments, promotion paths, skill development programs, role redesign, manager coaching, mentorship programs, and flexibility options. Calculates success probability and ROI for each intervention, prioritizes by impact and urgency, and generates detailed action plans with ownership assignments.
Report Generator Agent
Technical analysis outputs need translation into executive-ready formats that drive organizational action and investment decisions.
Core Logic
Compiles executive summaries with key metrics and trend indicators. Generates risk visualizations, department breakdowns, and heatmaps. Formats prioritized recommendations with financial justification. Creates comprehensive audit trails and produces AI-generated scenario summaries highlighting critical findings and urgent actions.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization