Keep the formats you receive.
Work with supplier PDFs, scanned invoices and multi-page documents, alongside the records your team uses to confirm deliveries.
Supplier invoice reconciliation · Powered by AI
Check the exceptions.
Get weeks back.
Hundreds of supplier invoices each month. Different layouts, scanned pages, line items that run overleaf. Match what you were billed against what actually arrived.
AI handles the parsing. Your team sees the confidence behind it, checks the differences and stays in control.
Many formats. One checking process.
AI reads & structuresSupplier · Product · Quantity · Value
Compare with delivery records
Delivered as invoicedMatched ✓
Quantity differsReview →
Unclear scanCheck source →
Hundreds / month
Built for recurring supplier invoice volumes.
90%+ parsing accuracy
With a manual fallback for the remainder.
Weeks of checking saved
Focus people’s time on the items that need it.
01 / From paperwork to a review queue
The invoice is only half the story.
Reading a document is useful. Checking its line items against actual product deliveries is what removes the manual work.
Turn pages into checkable lines.
AI extracts the invoice details with confidence scores. Compare product references and quantities against delivery records to surface differences.
Give the uncertain items to a person.
Check the source, correct a reading or investigate a mismatch. Manual review remains available whenever the team needs it.
The 90%+ figure describes parsing accuracy, not guaranteed end-to-end reconciliation or payment approval. Accuracy and time saved depend on document quality and your process; we validate both on a representative sample of your invoices.
02 / Confidence made visible
A clear reading can still reveal a wrong quantity.
Confidence answers “how sure is the AI about what it read?” Reconciliation answers “does that agree with the delivery?” Both belong on screen.
Low confidence sends a reading for manual checking. A clear quantity with a delivery shortfall still needs investigation. Your team can review either one.
Explore three illustrative cases to see the difference.
Reconciliation deskIllustrative example
Invoice INV-2048 · Line 07
Check the readingAI parsing confidence76%
Invoice quantity
120?units · product BX-40Delivery quantity
120units · product BX-40The scanned quantity is unclear. A reviewer checks the original page and confirms or corrects the extracted value before reconciliation continues.
Source: invoice page 2 · Delivery record GRN-812
Sample data. These confidence scores illustrate the review flow; they are not measured accuracy results.
03 / Human control, built in
Automation with a way through the exceptions.
No silent guesses.
Uncertain readings stay visible, with the original invoice available for checking. Your team knows where attention is needed.
Keep work moving.
Correct extracted fields or handle an invoice manually when a scan or unusual layout cannot be read reliably.
Agree what needs a person.
Set the confidence thresholds and matching rules around your process. Invoice approval stays with the people responsible for it.
Start with your real paperwork
Bring a few invoices.
Include the awkward ones.
Tell us your monthly volume, where delivery records live and what takes longest to check. We will agree a representative sample—including scans and multi-page invoices—and show how the parsing, matching and manual review would work.
Discuss your reconciliation →