AI-assisted invoice processing
Less retyping, clearer visibility of what needs review.
Use AI to prepare invoice information. Your team sees the source, corrects uncertain fields and decides which documents can proceed to the next step.
Discuss your projectInvoice processing · Review
ExampleDocument I–031
Manual review- Supplier
- Match found
- Invoice number
- Possibly received before
- Amount
- Extracted · needs checking
- Transfer
- Held until reviewed
Next step
Review a possible duplicate invoice
An earlier document has the same invoice number for this supplier. Compare both documents before allowing another transfer to the accounting system.
A recognized amount is not an approved invoice.
Invoices arrive as PDFs, scans or email attachments. Layouts vary and the same invoice can appear in several messages. Text extraction alone does not solve the handover. We combine extraction with source references, checks and review so it remains clear which document was processed and which details are not yet reliable enough to transfer.
From incoming documents to reviewed information.
- 01
Identify incoming documents
Agree the source inbox, upload or folder and assign each document a reference. Retain its origin. A reminder or credit document must not automatically become another ordinary invoice.
- 02
Extract and flag exceptions
Prepare supplier, number, date and amounts from the document. Keep missing or contradictory details visible. Check whether a document may already be known without immediately deleting a suspected match.
- 03
Review and transfer with controls
Staff can inspect the source and correct fields. Only the agreed, reviewed information proceeds to the destination. Transfer errors remain visible and retries must not create duplicate processing.
Use existing import capabilities before building duplicates.
Accounting packages often already support document receipt or structured imports. We first examine where manual work remains. Custom development might organize incoming files or route exceptions to reviewers. Accounting decisions are not handed to an isolated language model simply because it can produce a convincing answer.
- A scan is difficult to read
- Hold it for review or request a clearer version. Do not fill an unreadable number with a plausible guess.
- A document shows new payment details
- Flag the difference for review. Extracting an account number does not automatically change the supplier’s stored payment details.
- The integration does not respond
- Keep the transfer pending and check whether the destination received the previous attempt. Recovery belongs in the workflow rather than requiring the document to be entered again.
Document types, exceptions and the destination shape the approach.
We discuss formats, volumes, languages, fields, reviewers and available import options. Storage, access, usage costs and retention are included. Vorlyo provides implementation and care under the agreement. Automatic posting or payment is not a standard part of extraction and requires a separately assessed workflow.
Good to know.
Can this complement our current accounting software?
We assess its import options and integrations. The aim is to improve missing steps rather than duplicate existing features.
Are extracted details always correct?
No. We show the source and provide checks and corrections. Review requirements depend on your documents and workflow.
Can several colleagues review invoices?
Yes, with ownership and permissions for corrections and transfers. Status shows which step remains outstanding.
Does this automatically pay invoices?
Not as part of document extraction. Payment is a separate action with its own permissions and checks.
Explore further.
Explore the full serviceMake the path from invoice to accounting traceable.
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No obligation · Fixed scope, timeline and price after intake