The Challenge
A commercial construction company with $12M annual revenue was manually processing 200+ supplier invoices per week. The finance team spent 15+ hours weekly on data extraction, PO matching, approval routing, and QuickBooks entry. Errors were frequent and reconciliation was painful.
Our Solution
We built a fully automated invoice processing pipeline using n8n and GPT-4o. The system:
1. Monitors a dedicated AP email inbox for new invoices
2. Extracts structured data from PDF, image, and email invoices using GPT-4o vision
3. Matches invoices against open purchase orders in their project management system
4. Flags discrepancies and routes to the appropriate project manager for approval via email
5. Posts approved invoices directly to QuickBooks with correct GL coding
6. Sends payment reminders for aged invoices approaching due dates
7. Generates a weekly AP summary report for the finance director
The Results
- 200+ invoices per week processed with zero manual data entry
- Processing time reduced from 15 hours to under 30 minutes (human review only)
- Invoice error rate dropped to zero
- Payment approval cycle reduced from 5 days to 24 hours
- Finance team redirected to strategic financial analysis
"We were manually processing 200+ invoices a week. Now the AI agent handles it all — extraction, validation, PO matching, and posting to QuickBooks. Our accounts team went from firefighting to actual strategic work."
— Lisa M., Finance Manager — BuildRight Construction