AI Compliance Audit & Workforce Analytics Platform
An autonomous multi-agent system performs comprehensive compliance audits in minutes. AI agents retrieve workforce data, analyze certification status, calculate risk scores using ML models, generate prioritized action plans, and draft personalized worker notifications—all with full transparency through visible agent reasoning and tool calls.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Multi-Agent Compliance Analysis Setup - Audit workflow configuration, data filters, certification types, and risk thresholds
AI Agent Execution Flow - Pipeline stages, active agents panel, and tool invocation timeline with LLM reasoning
AI Analysis Results - €185K annual savings, 902% ROI, 6 findings, 7 recommendations, and 96% confidence score
Driver Wellbeing & Safety - Fatigue risk scores, rest compliance tracking, and EU 561/2006 driving hours monitoring
AI Agents
Specialized autonomous agents working in coordination
Supervisor Agent
Complex analytics tasks require intelligent decomposition and coordination to ensure comprehensive coverage while avoiding redundant work or conflicting conclusions.
Core Logic
Running on Claude 3.5 Sonnet (200K context), this agent decomposes audit tasks into subtasks, delegates to specialist agents, monitors progress, resolves conflicts between agent findings, and synthesizes final reports. It uses tools for task delegation and clarification requests, maintaining full orchestration state.
Data Analyst Agent
Workforce data is scattered across multiple databases and requires complex queries to extract meaningful insights about certification status, expiry patterns, and compliance gaps.
Core Logic
Powered by Claude 3.5 Haiku, this agent queries workforce and certification databases, aggregates data across multiple sources, computes statistical metrics (mean, percentile distributions), identifies trends and anomalies, and prepares structured datasets for other agents to analyze.
Risk Assessment Agent
Determining which compliance issues require immediate attention requires sophisticated risk scoring that considers multiple factors including regulatory severity, financial impact, and likelihood of occurrence.
Core Logic
Using Claude 3.5 Sonnet with ML models, this agent calculates per-worker and per-certification risk scores, predicts compliance failure probability using historical patterns, assesses financial impact of potential violations, and prioritizes issues by weighted risk factors.
Recommendation Engine
Converting analysis findings into actionable plans requires understanding resource constraints, scheduling optimization, and cost-benefit tradeoffs.
Core Logic
Running on Claude 3.5 Sonnet, this agent generates prioritized action plans from findings, optimizes training schedules using constraint solvers, calculates ROI for proposed actions, and creates implementation timelines with owner assignments and dependency tracking.
Communication Agent
Reaching a multilingual workforce effectively requires personalized messaging, channel optimization, and engagement tracking to ensure compliance notifications are actually read and acted upon.
Core Logic
Using Claude 3.5 Haiku, this agent drafts personalized notifications in worker's preferred language (6+ supported), analyzes engagement patterns to optimize delivery channels, generates formatted reports for stakeholders, and tracks notification delivery and response rates.
Market Intelligence Agent
External factors like fuel prices, regulatory changes, weather events, and border conditions significantly impact operations but are typically not integrated into workforce planning.
Core Logic
This agent monitors real-time market conditions including diesel/AdBlue prices, tracks regulatory updates across EU jurisdictions, assesses weather impact on routes, monitors border crossing wait times, and generates alerts when external factors require operational adjustments.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
7 technologies
Architecture Diagram
System flow visualization