AI Invoice Analytics & Audit Digital Worker
Deploys a multi-agent AI system that orchestrates specialized agents to analyze invoices against contract terms. Uses Claude Sonnet 4 and Opus 4 models with function-calling capabilities.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Invoice Audit Workflow Configuration - Upload invoices and configure the 7-agent AI pipeline for automated billing analysis
Live Agent Orchestration - Real-time multi-agent collaboration with reasoning streams and system performance metrics
AI-Generated Dispute Packages - Automated dispute creation with evidence, success predictions, and recovery tracking
Observability & Audit Trail - Complete workflow tracing with agent execution logs and system health monitoring
AI Agents
Specialized autonomous agents working in coordination
Master Orchestrator Agent
Complex invoice audits require coordinating multiple specialized analyses in the correct sequence while managing dependencies and aggregating results coherently.
Core Logic
Coordinates the multi-agent workflow using Claude Sonnet 4. Routes tasks to specialist agents based on invoice characteristics, manages agent handoffs with context sharing, resolves conflicts between agent findings through consensus protocols, and synthesizes final audit results. Uses workflow_manager and agent_router tools.
Contract Validation Agent
Invoice line items frequently contain rate discrepancies where billed amounts don't match contracted rates, volume commitment violations, and unauthorized service charges.
Core Logic
Validates every line item against master service agreements and rate schedules. Uses query_contract_database tool to retrieve contractual terms, validate_line_item for rate comparison, and retrieve_vector_context for semantic search across contract documents. Identifies rate variances exceeding threshold tolerances and flags contract violations with evidence.
Anomaly Detection Agent
Billing anomalies like phantom services, usage spikes, and duplicate charges are hidden within millions of line items and require pattern recognition across historical data.
Core Logic
Uses ML models to detect billing irregularities through the analyze_historical_pattern tool. Cross-references billed services against active inventory using verify_service_inventory to identify phantom services. Applies statistical methods to detect usage anomalies and duplicate charges. Generates confidence-scored findings with supporting evidence.
Tax & Regulatory Validator Agent
Telecom taxes vary by jurisdiction with complex federal, state, and local rates. Carriers frequently apply incorrect tax calculations resulting in systematic overcharges.
Core Logic
Validates tax calculations across all jurisdictions using calculate_tax_liability tool with 2025 FCC rates and state regulations. Compares billed taxes against correct calculations, identifies systematic tax errors, and quantifies tax recovery opportunities. Ensures regulatory compliance with current telecom taxation requirements.
5G & SD-WAN Specialist Agent
5G wireless services and SD-WAN circuits have complex billing structures including data plans, overages, network slicing charges, bandwidth tiers, and feature billing that require specialized audit expertise.
Core Logic
Audits 5G services using validate_5g_service tool for data plans, overage charges, and network slice configurations. Validates SD-WAN circuits with audit_sdwan_circuit for bandwidth charges, location accuracy, and feature billing. Identifies inactive circuits, bandwidth mismatches, and feature misbilling across modern network services.
UCaaS/CCaaS Specialist Agent
Unified Communications platforms bill by seat licenses and feature tiers, often resulting in unused licenses, feature overlap across platforms, and tier mismatches versus actual usage.
Core Logic
Validates UCaaS and CCaaS platforms using validate_ucaas_licenses tool. Compares licensed seat counts against active users, analyzes feature utilization against billed tiers, and identifies optimization opportunities. Detects international rate overcharges and recommends license right-sizing.
Dispute Generation Agent
Creating effective carrier disputes requires compiling evidence from multiple sources, applying appropriate legal language, and predicting success probability to prioritize recovery efforts.
Core Logic
Uses Claude Opus 4 for high-quality dispute generation. Aggregates findings from all specialist agents, generates dispute packages with generate_dispute_draft tool including evidence attachments and legal language. Predicts success probability with predict_dispute_outcome based on historical case outcomes. Prioritizes disputes by expected recovery value.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization