Enterprise Cross-Border Posted Worker Compliance Platform
A multi-agent AI system automates the entire cross-border compliance workflow. RAG-powered agents retrieve relevant regulations, analyze compliance requirements, generate legal documents, calculate split-jurisdiction payroll, assess risks, and monitor driver hoursβreducing processing time significantly while ensuring comprehensive regulatory coverage.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Configure Posting Request - Cross-border assignment setup with country routing, worker details, and cost estimation
AI Agent Orchestration - 12 specialized agents workflow with progress tracking and real-time inference outputs
Compliance Report - Regulation analysis with pass/fail status, compliance scores, and actionable recommendations
Executive Summary - Health score, financial overview, driver compliance, route savings, and demand forecast
AI Agents
Specialized autonomous agents working in coordination
Orchestrator Agent
Complex multi-step compliance workflows require intelligent coordination across specialized agents with proper sequencing, error handling, and result aggregation.
Core Logic
Running on Claude 3 Opus, this agent manages the complete workflow lifecycleβvalidating input, planning execution sequences, delegating to specialists, handling failures with retry logic, aggregating results, and generating executive summaries. It maintains full trace context for debugging and audit purposes.
RAG Retrieval Agent
Compliance analysis requires access to thousands of pages of EU regulations, directives, national laws, collective agreements, and tax treaties that are constantly updated.
Core Logic
Using text-embedding-3-large, this agent performs semantic search across a curated regulatory corpus, retrieves relevant document chunks with relevance scoring, assembles context for analysis agents, and ensures responses are grounded in authoritative sources. It supports 6 document types across all EU member states.
Compliance Analyzer
Determining applicable regulations for a specific posting scenario requires interpreting complex legal requirements and checking dozens of compliance rules.
Core Logic
Powered by Claude 3 Sonnet, this agent parses regulatory requirements, evaluates 20+ compliance rules covering social security, taxation, labor law, documentation, and notifications. It generates detailed compliance reports with pass/fail status, confidence scores, and specific regulatory citations.
Risk Assessor
Cross-border operations involve multiple risk categories (regulatory, operational, financial, reputational) that must be quantified and prioritized for management decision-making.
Core Logic
Using GPT-4 Turbo, this agent calculates multi-factor risk scores, identifies risk concentrations, estimates financial exposure, generates mitigation recommendations with effort/impact ratings, and produces risk heatmaps for executive reporting.
Document Generator
Posted worker assignments require numerous legal documents (A1 applications, contracts, declarations) that must be accurate, properly formatted, and compliant with destination country requirements.
Core Logic
Running on Claude 3 Haiku, this agent generates complete document packages including A1 certificate applications, employment contracts, LIMOSA notifications, tax declarations, and worker information packets. It supports multilingual output and prepares documents for e-signature integration.
Payroll Calculator
Split-jurisdiction payroll involves complex tax calculations, treaty applications, social security coordination, and allowance computations that vary by home/host country combination.
Core Logic
Using GPT-4 Turbo, this agent calculates gross-to-net payroll considering home country tax, host country tax, applicable tax treaties, social security contributions in both jurisdictions, per diem allowances, and total employer cost. It provides detailed calculation breakdowns with applicable regulation references.
Validation Agent
Before submission, all generated outputs must be cross-validated for internal consistency, completeness, and compliance with regulatory requirements.
Core Logic
Powered by Claude 3 Sonnet, this agent performs final quality assuranceβchecking document completeness, validating calculation accuracy, verifying regulatory coverage, and confirming all blockers are resolved. It issues final approval or flags issues requiring human review.
Driver Hours Monitor
EU Regulation 561/2006 imposes strict limits on driving hours (9h daily, 56h weekly, 90h bi-weekly) and rest periods. Violations result in penalties and pose safety risks.
Core Logic
Using Claude 3.5 Sonnet, this agent analyzes tachograph data, tracks daily/weekly/bi-weekly driving hours, monitors rest period compliance, detects violations with severity classification, generates predictive alerts before limits are reached, and calculates remaining available driving hours.
Fatigue Risk Predictor
Driver fatigue is a leading cause of accidents, but traditional monitoring only catches issues after they occur rather than predicting and preventing them.
Core Logic
Running on GPT-4o, this agent applies fatigue modeling algorithms considering sleep patterns, workload, circadian factors, and cumulative strain. It generates per-driver fatigue risk scores, predicts high-risk periods, and recommends interventions (schedule adjustments, mandatory rest) before incidents occur.
Route Optimizer
International transport routes must balance cost, time, driver hours compliance, rest stop availability, and real-time conditions while meeting delivery windows.
Core Logic
Using Claude 3.5 Sonnet, this agent plans routes considering distance, fuel costs, toll expenses, traffic conditions, weather, and mandatory rest stops. It generates optimized routes with scheduled breaks compliant with driving hour regulations and calculates potential savings in distance, time, fuel, and CO2.
Demand Forecaster
Workforce capacity planning requires accurate demand predictions considering seasonal patterns, economic factors, client pipelines, and market trends.
Core Logic
Running on GPT-4o with ML models, this agent generates demand forecasts at daily/weekly/monthly granularity with confidence intervals. It identifies seasonal factors, calculates gap analysis against available workforce, and recommends capacity adjustments (hiring, training, partnerships) with lead time requirements.
Skills Matcher
Optimal worker assignment requires matching not just certifications but also skill levels, experience, language capabilities, and cultural fit for international postings.
Core Logic
Using Claude 3.5 Sonnet, this agent performs comprehensive skills gap analysis, matches workers to assignments based on skill levels and requirements, identifies training needs to close gaps, calculates cultural and language fit scores, and generates ranked candidate lists with detailed match explanations.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
8 technologies
Architecture Diagram
System flow visualization