Supplier invoice automation

How does AI invoice processing work?

The workflow starts where your invoices arrive today: a mailbox such as invoices@yourcompany.com, a shared folder or the office scanner. From there, each document goes through these steps:

• Capture: the system picks up the PDF or image from the mailbox or folder and discards anything that is not an invoice.
• Reading: OCR turns the image into text and a language model identifies each field even when the layout changes from one supplier to the next.
• Validation: it checks that the supplier exists in your vendor master, that net amount and tax add up, that the invoice is not a duplicate and, if you work with purchase orders, that it matches the order or delivery note.
• Approval: invoices above a set amount or from certain suppliers reach the responsible person, who approves from email or Slack.
• Posting: the invoice is booked with its expense account and cost centre, and the PDF is archived and linked.

Why isn't the OCR in my accounting software enough?

Many accounting packages include an invoice reader that works well with regular suppliers and clean layouts. Problems start with crooked scans, several invoices in one PDF, invoices in another language or suppliers who change their design.

An AI model understands the document the way a person would and also applies your rules: which account each type of expense goes to, which supplier carries withholding, which invoices need a purchase order. It is the same technology we use in AI document processing for contracts or delivery notes. If your current reader handles 90% of your invoices, you may only need to automate validation and approval. We check that in the diagnostic.

How do e-invoicing mandates affect invoice automation?

More and more countries require structured electronic invoices between businesses. The EU is moving that way through its VAT in the Digital Age (ViDA) package, several member states already have their own mandates, and the UK is rolling out Making Tax Digital. Timelines change and differ by country, so check the current dates with your accountant.

For automation this is good news: a structured invoice is read without OCR. We design the workflow to accept PDFs, images and electronic formats, so you don't have to rebuild it as the mix of formats shifts. Mandates mostly govern how you issue invoices and which software you use; the received-invoice automation we build sits alongside them.

Example: a distributor with 400 supplier invoices a month

A food distributor receives about 400 invoices a month from 80 suppliers, many as PDFs by email and others scanned from paper. One accounts clerk spends almost half her day typing them into the accounting system and matching them to delivery notes.

With the automated workflow, invoices arrive at a single mailbox. The AI extracts the data, finds the delivery note in the ERP by purchase order number and compares quantities and amounts. When everything matches, the invoice is posted in the accounting system with its account and left pending payment. When there is a difference (a different price, an extra line), the invoice goes to the clerk with the discrepancy flagged. Her job shifts from typing to reviewing exceptions. If an external bookkeeper handles your accounts, the same workflow hands them organised documentation; see AI for accountants.