90% reduction in manual invoice processing time
A 25-person accounting firm was manually processing 500+ invoices per month across 40 clients. We built an AI extraction pipeline that reads, categorizes, and routes invoices automatically.
less manual processing
invoices per month
to production
The Challenge
Two full-time staff spent their days manually entering invoice data into QuickBooks. Error rates were 8%, and month-end close took 5 days because of reconciliation issues.
Our Approach
- 01
Diagnosed: Shadowed the team for 2 days to map the full invoice lifecycle.
- 02
Scoped: An OCR + LLM pipeline that extracts, validates, and routes invoice data.
- 03
Built: Document processing with confidence scoring and human-in-the-loop for low-confidence extractions.
- 04
Verified: Processed 200 historical invoices and compared against manual entries.
- 05
Shipped: Deployed with a 2-week parallel run before cutting over.
The Outcome
Invoice processing went from 3 minutes per invoice to 18 seconds. Error rate dropped from 8% to 0.3%. Month-end close shortened from 5 days to 2.
“My staff went from data entry to actual accounting work. That's what I hired them for.”
Managing Partner
Regional accounting firm, 25 employees