AP team manually keyed 500+ invoices weekly, with frequent errors and delayed payments.
We built an intelligent document processing pipeline that classifies incoming invoices, extracts key fields, performs three-way matching with purchase orders, and routes exceptions for human review — replacing 30+ hours of weekly manual data entry.
Client
A mid-size manufacturing company...
Timeline
10 weeks
Team
2 engineers
Industry
Finance
A manufacturing company received invoices in dozens of different formats from hundreds of vendors. The AP team spent significant hours every week manually entering invoice data into their ERP, leading to frequent errors, occasional duplicate payments, and strained vendor relationships due to delayed processing.
Built intelligent document classification to handle diverse invoice formats from different vendors
Trained extraction models for vendor name, invoice number, line items, amounts, and payment terms
Created three-way matching automation that cross-references invoices with purchase orders and receiving data
Implemented exception handling workflows that route discrepancies to the right reviewer with context
96%
Extraction Accuracy
10x
Processing Capacity
30+ hrs
Weekly Time Saved
10 wks
Delivered In
Invoice processing capacity increased substantially without adding headcount
Extraction accuracy reached 96% for key fields
AP team reallocated from data entry to vendor relationship management and exception handling
Early payment discounts captured more consistently
“Our AP team was drowning. Five people doing nothing but data entry all day. Now two of them handle the same volume plus exceptions, and the other three moved to work that actually matters. The accuracy is better too.”
— CFO, Manufacturing Company
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