Guide
Checklist: Preparing AI-Powered Document Processing
What you should clarify before you request quotes for AI-powered document processing. The more of this is clear beforehand, the more reliable the quotes will be.
Before deciding on AI-powered document processing, a quick inventory is worthwhile: which workflow costs the most time, who will support the system later, and whether the necessary content is even available. The complete checklist is further below.
01 — Checklist
Clarify before the first quote
- What should improve? In one sentence, no jargon.
- How will you know? One number that should change.
- Who decides? One person, not a committee.
- What budget is available? A range is enough — it makes quotes comparable instead of arbitrary.
- By when? And what the deadline depends on.
- Which systems are involved? And who has access to them.
- What do you already have? Content, data, preliminary work — this reduces the cost.
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 — 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?
04 — Questions
Frequently asked questions
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.
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.
Is this audit-proof?
Every processing step is logged: original document, recognized values, corrections, timestamps, responsible person. The original remains unchanged.
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.
Does this replace our accounting software?
No, it feeds it. The processing sits upstream and delivers clean data to the system you already use.
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.
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.
05 — Next
Related pages
- Document processing with AI — Overview
- AI-Powered Document Processing — Team and Acceptance
- Document processing with AI — Measuring success
- AI-Powered Document Processing — Provider Comparison
- Document processing with AI — Integration
- AI-Powered Document Processing — AI Disclosure
- AI-Powered Document Processing — Small Businesses
- Document processing with AI — DIY approach
- Automate invoice processing
- AI automation
- AI knowledge base
- All guides
Next step
We'll look at your starting position.
Tell us what's eating up time today. That becomes an assessment with effort and benefit — and only then an offer.