Invoices come in on their own. The data comes out ready for your ERP.

AI invoice automation is a solution that takes over the routine part of document processing: it receives invoices, reads the data in them and passes it to the system your company works in. Instead of someone opening every email and retyping amounts, AI extracts the supplier, number, dates, amounts, VAT and line items and arranges them in structured fields.

The difference from ordinary scanning is that the solution does not just turn a document into text. It recognises what each field means, tells incoming invoices from outgoing ones and stops when it is unsure. Those are exactly the cases that go to a person for review. Your team stops retyping and checks only what really needs judgement. The solution is part of our AI business process automation service and is tuned to the documents you actually receive.

The solution makes the most sense where invoices are many, repetitive and take up the time of people who have more valuable work to do. Typical examples are accounting firms that handle documents for many clients, trading companies with a large flow of supplier invoices, and finance departments that want this data in their BI dashboard.

If you have few invoices, manual processing may remain the better deal. If decisions need judgement that cannot be written down as rules, or if a mistake is expensive, AI works alongside a person who approves the result. That is why we start with a review of the process: we assess volume, cost and risk and tell you honestly whether automation is worth it for you. The call is free and takes 30 minutes, and afterwards you know whether it makes sense to continue.

Accuracy is protected by a human check built into the first version of the solution. AI does not decide everything on its own: when a document or field is uncertain, the invoice stops and goes to one of your people for review before it enters the system. Unclear cases do not reach the ERP unnoticed, and the review is aimed at the documents that need it.

Before it reaches production, the solution goes through a pilot with real invoices under supervision. In the first week we agree the metrics we will measure success by: time, cost and errors. Every solution is measured against its baseline, and if it does not deliver, it does not reach production. We stop it and pick the next process. Solutions that work move to AI Ops, where we support and improve them every month, with response within 24 hours.

Invoice automation can be a standalone project or part of a full AI transformation with the Encorp AIM (AI Implementation Method). As a standalone project it starts with a review of the process and is quoted on request. Within Encorp AIM it is one of the processes chosen at Gate 1 from the opportunity map, moving from the first quick win by week 4 to solutions in production in weeks 11–12.

The same rules apply in both cases. The solution connects to the systems you already use. The code, the model instructions and the deployment are yours, and after go-live AI Ops takes care of support. If you are not yet sure where to start with AI, the AI readiness test shows where your company stands today.