AI Compliance Intelligence System
Deploys 8 specialized AI agents that perform automated compliance scanning against 52+ regulations, detect anomalies using ML, run Monte Carlo risk simulations, benchmark against 847 peer companies, and generate prioritized remediation plans..
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Compliance Intelligence - Multi-agent architecture overview, company information input, and analysis preview panel
AI Agent Workspace - Agent panel with tool calls, regulatory rules execution, and real-time compliance analysis
Analysis Complete - Executive summary with violations detected, critical risk tier, and financial exposure metrics
Technical Details - LLM configuration, agent architecture, data pipeline settings, and Monte Carlo risk analysis
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Compliance analysis requires coordinating data collection, violation detection, risk assessment, and remediation planning in a coherent workflow.
Core Logic
Serves as lead AI coordinator using Claude-3-Opus. Initializes workflow with priority assignment (STANDARD/HIGH/URGENT), delegates tasks to 7 specialized agents, monitors execution progress with real-time updates, synthesizes findings from all agents, and generates comprehensive executive summaries with risk tier classifications.
Data Collector Agent
Compliance audits require access to employee records, time data, and payroll information scattered across multiple systems.
Core Logic
Connects to HR systems to fetch employee databases, timesheets, and payroll records. Uses Claude-3-Sonnet for intelligent data validation, achieving 98.5% data quality scores. Retrieves exempt/non-exempt classifications, overtime entries, and flags records with missing or inconsistent data for follow-up review.
Anomaly Detector Agent
Compliance violations often hide in unusual patterns that human reviewers miss—like systematic overtime without approval or manipulated time entries.
Core Logic
Initializes ML pipeline with Isolation Forest, Local Outlier Factor, and DBSCAN algorithms. Scans 12 feature dimensions including hours worked, overtime ratio, break patterns, and schedule variance. Identifies anomalies like 'Excessive Overtime Pattern' and 'Time Entry Clustering' with confidence scores (75-95%) and correlates findings to compliance violations.
Compliance Analyzer Agent
Manually checking employee records against FLSA, FMLA, ADA, OSHA, and state-specific regulations is error-prone and incomplete.
Core Logic
Loads 52+ regulatory rules (14 federal, 38 state) including pending 2024-2025 DOL updates. Runs AI-enhanced compliance scans correlating anomaly findings with specific law citations (29 USC §207, CA Labor Code §512). Detects violations for overtime, meal breaks, salary threshold misclassification, FMLA interference, and record-keeping with severity classifications.
Risk Assessor Agent
Organizations cannot quantify their financial exposure from compliance violations or the probability of regulatory action.
Core Logic
Runs Monte Carlo simulation with 10,000 iterations using log-normal distribution. Calculates Expected Loss, Value at Risk (95% confidence), and Conditional VaR. Estimates lawsuit probability based on violation count and severity. Classifies overall risk tier (CRITICAL/HIGH/MEDIUM) and recommends reserve amounts with buffer calculations.
Benchmark Analyst Agent
Organizations lack context on whether their compliance posture is typical or an outlier compared to industry peers.
Core Logic
Fetches industry benchmarks from DOL Industry Database against 847 peer companies. Calculates compliance score percentile ranking, compares violation rates against industry average (6.2%), and identifies where the organization stands vs. top performers (94%) and bottom performers (52%). Generates specific recommendations based on benchmark gaps.
Predictive Analyst Agent
Compliance is reactive—organizations address violations after they occur rather than preventing future risks.
Core Logic
Builds forecast models using Prophet ensemble with 87% accuracy. Predicts DOL salary threshold impacts ($58,656 effective Jan 2025), overtime cost trajectories, state regulatory tightening (California, New York), and seasonal violation patterns (40% increase during Q4). Generates 12-month compliance score projections with confidence intervals.
Remediation Planner Agent
After identifying violations, organizations struggle to prioritize fixes and calculate which investments deliver the best risk reduction.
Core Logic
Uses hybrid CSP + ML optimization with constraint-based planning. Generates IMMEDIATE (0-7 day), SHORT_TERM (7-30 day), and LONG_TERM (30-90 day) action plans. Calculates cost-benefit for each action, projects risk reduction potential, and prioritizes high-impact remediation. Includes future-proofing actions based on predictive insights.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
4 technologies
Architecture Diagram
System flow visualization