- AI reads invoices in any layout, so you do not need a template per supplier.
- The core value is matching: invoice against purchase order, goods receipt and contract price.
- Clean invoices are posted to SAP through approved interfaces; exceptions go to a person with the reason.
- A prototype on your own invoices typically takes three to four weeks.
The problem
In many finance teams, invoice processing still means opening an email, downloading a PDF, typing the invoice number, amounts and VAT into SAP, searching for the purchase order and chasing someone for approval. At month end this work piles up, and errors lead to duplicate payments or angry suppliers.
How AI invoice processing works
1. Capture
Invoices arrive in a shared mailbox, a supplier portal or as scans. The system collects them automatically, wherever they come from.
2. Read
An AI model reads the invoice and extracts supplier, invoice number, dates, line items, quantities, prices, VAT and bank details. Unlike older OCR tools, it does not need a fixed template for each supplier and handles English and Arabic documents.
3. Check and match
The extracted data is checked against your SAP data: does the supplier exist, does the purchase order match, has the goods receipt been posted, does the price match the contract, and has this invoice been received before? This is where most of the time is saved.
4. Post or route
Invoices that pass every check are posted to SAP automatically or after one-click approval. Exceptions go to the right person with a clear reason, such as "price 4 % above contract" or "goods receipt missing", instead of a generic error.
5. Learn and report
A dashboard shows volumes, processing times, exception reasons and suppliers that cause the most rework, so you can fix problems at the source.
How it connects to SAP
We connect through approved interfaces, such as OData services and APIs in SAP S/4HANA or extensions on SAP BTP, so the SAP core stays clean. The same approach works with other ERP systems. Approval rules, authorisations and posting logic stay in your control.
What results to expect
Results depend on your invoice mix: how many come with a purchase order, how clean your master data is and how many suppliers you have. Invoices with purchase orders and matching goods receipts are the easiest to automate fully. Before the project, we agree on a metric, for example the share of invoices posted without manual work or the hours saved per month, and measure against it.
Typical timeline
- Discover (about one week): map the process, collect sample invoices and define the metric.
- Prototype (three to four weeks): extraction and matching on your own invoices, in a test environment.
- Build and integrate: connection to SAP, approval flow, exception queue and dashboard, in two-week sprints.
- Operate: monitoring and improvements as new suppliers and formats appear.
See the invoice flow on our AI document processing page, learn how we work with SAP integration, or send us a few sample invoices for a free pilot.