Guide
AI document processing: contract, ownership, and exit
Who owns the data, access credentials, and outputs in the end? The answer to this question says more about a provider than any reference list — and belongs before the signature, not after.
Before commissioning AI document processing, clarify in writing: data and access belong to the client, in what format and timeframe they will be handed over upon termination, what future changes cost, and that documentation is a quoted line item, not a verbal promise.
01 — Contract
What needs to be clarified in writing
- Ownership of data and access. They belong to the client. If a provider won't clearly confirm this, that's the most important information from the conversation.
- Handover upon termination. In what format, within what timeframe, at what cost.
- No minimum term without consideration. Lock-in is justifiable if something is delivered in return — otherwise not.
- What a later change costs. The total cost isn't determined by the project price, but by the hourly rate in year three.
- Documentation as a deliverable. Not as a promise, but as a line item in the proposal.
02 — Questions
Questions you should ask
- What happens if the project becomes more expensive than estimated — who bears that?
- Who owns data, access, and, if developed, the source code?
- What does operation cost in the second and third year?
- What does the documentation we receive at the end look like?
- How would you measure whether the project was successful?
- Is there a case in which you would advise us against this?
03 — Warning signs
When to be skeptical
- Guaranteed results. Anyone promising top Google ranking or a specific revenue increase is selling something they can't deliver.
- No pushback. A provider who thinks every project is a good idea has either not listened or is only selling.
- Time pressure. Limited-time discounts on project prices are a sales tool, not an offer.
- Unclear ownership. Anyone who won't clearly say who owns data and access doesn't have your interests at heart.
- No contact with technical expertise. If only sales sits in the first meeting, that's where misunderstandings arise.
04 — Questions
Frequently asked questions
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.
Is this audit-proof?
Every processing step is logged: original document, recognized values, corrections, timestamps, responsible person. The original remains unchanged.
How quickly do we see the accuracy rate before we commit?
Before the quote: We test with a batch of your actual documents and state the measured rate per field — not an estimate, but a result you can verify yourself.
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.
05 — Next
Related pages
- Document processing with AI — Overview
- AI-Powered Document Processing — Introduction
- Document processing with AI — Cost-effectiveness
- AI-Powered Document Processing — AI Disclosure
- Document processing with AI — Privacy
- AI-Powered Document Processing — Provider Comparison
- AI-Powered Document Processing — Team and Acceptance
- Document processing with AI — Subsidies
- Automate invoice processing
- AI automation
- AI knowledge base
- All guides
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