Practical AI in business: processing invoices and documents

Everyone is talking about AI today, but companies often don’t know where to start. One of the most useful and least risky uses is document processing. Invoices, orders, delivery notes and contracts are full of data that someone retypes by hand today.

How it works

• Receiving the document. An invoice arrives by email or someone uploads it to the system.
• Reading. For scans, OCR first converts the image into text. A language model then understands the content: who the supplier is, their company ID, the document number, due date, amounts and VAT.
• Checking. The system verifies that the data makes sense: the totals add up, the company ID has the right format, the supplier exists in the database.
• Approval. A person sees the document next to the extracted data and confirms or corrects it with one click.
• Recording. The data is saved into the accounting or internal system.

Why not entirely without a person

AI models are very accurate today, but not infallible. With finances it is sensible to leave the final word to a person, at least for the first few months. Even so, the work changes fundamentally: instead of retyping, you only check. Gradually, once you see that the system makes no mistakes with certain suppliers, you can simplify the approval.

What to consider with sensitive data

• Where the documents are sent and where they are processed.
• Whether the AI provider uses your data to train its models.
• Who has access to the data and how long it is kept.
• GDPR compliance, especially if the documents contain personal data.

When designing the solution, these questions are addressed at the start, not as an afterthought.

Other practical uses

• Sorting incoming emails and suggesting a reply.
• An assistant that answers employees’ questions from internal guidelines.
• Generating product descriptions according to your rules.
• Summarising long documents and contracts.

How to start

A small pilot is best. Choose one type of document, prepare a few dozen samples and verify the accuracy on real data. Within a few weeks you know what the benefit is and can decide whether to continue.

Summary

AI is most valuable where it relieves people of mechanical work and leaves the decisions to them. Document processing is exactly that kind of case. If you’re curious what AI could handle in your company, a pilot proposal is a good place to start.