DEMO

Smart Invoice Reconciliation

Match services to billing automatically

Automated reconciliation system that matches completed jobs to invoices, ensuring accurate billing and catching discrepancies before they reach customers. The AI cross-references service records, crew reports, and billing data to identify mismatches, forgotten charges, and duplicate entries. Reduces billing errors by 90% and speeds up the closing process.

Key Metric

Billing accuracy

90% error reduction

Improvement

90% error reduction

Measurable impact

Business Value

$24K recovered revenue/year

Estimated annual impact

Interactive Demo

Experience how this AI feature will work in production

Demo In Development

Interactive demo is currently being built and will showcase real-time functionality.

Estimated build time: 2-3 weeks

Key Features

Automatic job matching
Discrepancy detection
Missing charge alerts
Duplicate prevention
Service verification
Price validation
Approval workflows
Audit trail generation

Technical Architecture

Core Capabilities

  • Machine learning pattern matching
  • Natural language processing for notes
  • Rule-based validation engine
  • Integration with multiple systems
  • Real-time processing capabilities

Technology Stack

Python
Apache Kafka
PostgreSQL
React
QuickBooks API

Required Integrations

QuickBooks API
Service Management API
Internal Database