2 of every 3 vendor documents, reconciled without a human
When you buy from 500+ vendors, every purchase order confirmation arrives in a different PDF. Someone has to check that what you're billed matches what you ordered — line by line, price by price. That someone is now mostly software.
Reconciliation nobody has time to do — and everybody pays for skipping
A distributor buys constantly: siding from one vendor, windows from another, fasteners from a third. Each purchase generates a confirmation PDF that should be checked against the original order — quantities, units of measure, line items, prices, freight. Done manually, it's minutes per document across hundreds of thousands of documents. Skipped, it's silent margin leakage: you pay what the vendor billed, not what you agreed.
The choice used to be: pay people to check everything, or trust everyone and check nothing.We built the third option.
Two parsing tracks, one rules engine
The hard part isn't reading a PDF — it's reading 500 different kinds of PDF, reliably, at volume. We solved it with two complementary tracks.
Custom parsers
Most high-volume vendors send structurally consistent PDFs. For each, we built a dedicated parser that extracts line items, quantities, units, prices, and freight with precision. Fast, deterministic, cheap to run.
AI document models
For vendors whose layouts shift — different templates, scanned documents, format changes — we trained models on Azure AI Document Intelligence. The models generalize where hand-built parsers would break. This is production AI: hundreds of thousands of real documents, not a demo.
Exceptions arrive pre-diagnosed
The review queue doesn't say "check this document" — it says "quantity rule violated on 2 lines." Reviewers start at the problem, not at page one.
Rules are configuration
Tolerance thresholds and vendor-specific rules are maintained as settings, not code. The business tunes its own automation rate.
The archive is an asset
683,656 processed documents form a searchable history of every vendor confirmation — pricing disputes get settled with evidence, not memory.
Production AI, measured honestly
The goal was never 100% automation. It was 100% coverage — with humans spending their time only where judgment is actually needed.Why the review queue is a feature, not a failure
More from this engagement
The distributor that stopped typing
The full engagement: 1.5M documents, 5M audited lines, governed pricing, and B2B e-commerce at scale.
Read the story → Solution storyMatched once, remembered forever
The same document discipline applied to customer orders — 95,507 orders across 77 customers.
Read the story → Solution storyFive million lines, re-checked every year
Continuous invoice auditing closes the loop that reconciliation opens.
Read the story →How much are unchecked vendor documents costing you?
Document intelligence is our AI Enablement sweet spot — practical, measurable, and production-proven.
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