AI Invoice Processing Pipeline
Twelve thousand supplier invoices a month, arriving in every format imaginable, were consuming a four-person AP team.
12k Invoices / Month99.4% Extraction Accuracy3-Way Matched
THE BOTTLENECK
What was breaking
- ✕Invoices arrived as PDFs, scans and email bodies, with no consistent layout between suppliers.
- ✕Accounts payable manually matched each one against purchase orders and delivery notes.
- ✕Late-payment penalties were accruing simply because the queue could not be cleared fast enough.
THE ARCHITECTURE
What we built
- ✓A document pipeline classifies, extracts and normalises every inbound invoice regardless of format.
- ✓Automated three-way matching against POs and goods receipts clears the unambiguous majority without review.
- ✓Only genuine exceptions — mismatched totals, unknown suppliers — route to a human queue.
inventory.command-center
SYNCED
system dashboard screenshot
STACK:PythonGPT-4AWS Lambda
BUSINESS IMPACT
The Numbers, 6 Months After Launch
99.4%extraction accuracy
6%requiring human review
−£140kannual AP cost
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