Guide

What do you need for AI document processing? The prerequisites

Before AI document processing even makes sense, a few things need to be in place in your business. What those are — and which supposed prerequisites actually aren't.

Quote on request4 to 8 weeksAs of 2026
In short

For AI document processing, a business needs three things: a specifically named process that currently costs time or orders, existing content or data to work with, and a person authorized to make decisions. Technical expertise is explicitly not one of them.

01 — Requirements

What you need for AI document processing

  • A clearly defined trigger. Not “we should do something with AI,” but a process that demonstrably costs time or orders today.
  • Existing content or data. AI document processing works with what's already there. The more complete your starting point, the shorter the setup.
  • Access to the systems involved. Whoever manages the credentials needs to be involved from the start — this is, in our experience, the most common cause of delays.
  • One decision-making contact person. One, not three.
  • Willingness to refine after launch. The first weeks in real operation show what was missing in the concept. That's normal and accounted for.

02 — Participation

What we need from you

  • A contact person who can make decisions — not just forward them.
  • Access to the affected systems, in time and not on launch day.
  • Real examples from daily business — the messier, the more useful for testing.
  • Two to four hours for coordination, distributed over the project duration.
  • An answer to the question of what success means. Without it, nothing can be assessed afterward.

03 — Fit

When it's worth it

  • The process in question occurs at least weekly.
  • It follows rules you can write down — even if there are exceptions.
  • Today it's manual work that no one enjoys doing.
  • There's one person who decides, not three who need to coordinate.
  • You can name what would tell you it worked.

04 — Questions

Frequently asked questions

What happens to the paper original?

It remains untouched and is not automatically disposed of. For statutory retention requirements, what your tax advisor specifies still applies — digitization does not automatically replace that.

What happens if there's an error?

Nothing runs through unchecked as long as the accuracy rate is not proven. The system provides a confidence score for each field; below a threshold, the document goes to a human for review.

Does this replace our accounting software?

No, it feeds it. The processing sits upstream and delivers clean data to the system you already use.

Does this work with handwritten notes too?

With clear handwriting yes, with noticeably lower accuracy than printed documents. We measure this in advance with your actual examples and tell you honestly whether it's worthwhile for your case.

Is this audit-proof?

Every processing step is logged: original document, recognized values, corrections, timestamps, responsible person. The original remains unchanged.

Do we need a template for every supplier?

No, that's the difference from older solutions. The system recognizes fields by content, not by fixed positions on the page — even with a supplier sending for the first time.

How well does it work with poor-quality scans?

Significantly better than traditional OCR, because the model reads context, not just individual characters. But we measure this on your actual documents and report the accuracy rate instead of promising it.

Next step

Let's talk briefly about whether this makes sense for you.

A twenty-minute conversation is usually enough to clarify whether a project makes sense. If not, we'll say so — that's cheaper for both sides than an offer nobody needs.