Pay Equity Analysis Digital Worker
## Solution Deploys an intelligent multi-agent system with real-time inter-agent communication visualization. Ingests compensation data from multiple sources (file upload, HRIS connections), performs advanced regression modeling with statistical significance testing, compares against live market benchmarks, and generates prioritized remediation recommendations with confidence scoring.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Review & Launch Analysis - Data source configuration, analysis settings, budget parameters, and pipeline technical configuration with AI agents overview
Agent Orchestration Console - Workflow DAG execution progress, system metrics, active agents status, and distributed trace monitoring
Executive Dashboard - Pay equity analysis results showing 127 gaps identified, $487K remediation required, key findings, and recommended actions
Remediation Recommendations - Multiple remediation approaches comparison with pros/cons, AI assessment, and 3-year financial projection
AI Agents
Specialized autonomous agents working in coordination
Data Orchestration Agent
## Problem Compensation data exists across multiple disconnected systems (HRIS, payroll, equity platforms) with inconsistent formats, missing fields, and quality issues that undermine analysis accuracy.
Core Logic
## Solution Coordinates data ingestion from multiple sources including file uploads (CSV/Excel), direct HRIS connections (Workday, ADP, SAP, Oracle), and demo datasets. Validates data quality, normalizes formats, resolves schema mismatches, and maintains complete data lineage tracking. Records all transformation steps for compliance audit trails and ensures statistical analysis operates on clean, consistent datasets.
Statistical Analysis Agent
## Problem Detecting statistically significant pay disparities requires expertise in regression modeling, proper control variable selection, and interpretation of resultsāskills often lacking in HR teams.
Core Logic
## Solution Performs advanced multi-variate regression analysis controlling for legitimate pay factors (job level, tenure, performance, location, department, education). Calculates pay gaps with statistical significance testing at configurable alpha levels (default Ī± = 0.05). Analyzes compensation components (base salary, bonus, total cash, equity) separately and combined. Generates individual and department-level risk scores, identifies outliers, and produces confidence intervals for all findings.
Market Benchmark Agent
## Problem Determining whether compensation levels are competitive requires access to current market data and understanding of peer positioningāinformation that changes frequently and varies by geography and industry.
Core Logic
## Solution Integrates live market data sources to provide real-time salary benchmarking. Performs peer comparison analysis by role, level, and location. Generates salary range recommendations based on market percentiles (25th, 50th, 75th, 90th). Calculates equity percentile rankings and identifies positions where internal pay differs significantly from market rates. Visualizes compa-ratio distributions and flags competitive risks.
Remediation Planning Agent
## Problem Closing pay gaps requires balancing budget constraints, prioritization decisions, and impact modelingācomplex optimization that must consider individual circumstances and organizational constraints.
Core Logic
## Solution Generates AI-powered remediation recommendations with confidence scoring. Models multiple remediation scenarios within specified budget parameters. Prioritizes adjustments based on gap severity, legal risk, and retention impact. Provides dependency mapping showing how individual adjustments affect aggregate statistics. Calculates cost-benefit analysis for each recommendation and projects post-remediation pay equity metrics to validate effectiveness.
Compliance Reporting Agent
## Problem Regulatory reporting requirements differ by jurisdiction (California, OFCCP, UK Gender Pay, EU Directive) with specific formats, calculations, and deadlines that must be met accurately.
Core Logic
## Solution Automatically generates jurisdiction-specific compliance reports meeting regulatory requirements. Calculates required metrics (median pay gap, mean bonus gap, quartile distributions) using prescribed methodologies. Formats outputs to match regulatory submission requirements. Maintains audit trails documenting data sources, calculation methods, and approval workflows. Supports multi-jurisdiction reporting from a single analysis.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
7 technologies
Architecture Diagram
System flow visualization