Guide
Document processing with AI: workflow, approach, and what you need to provide
The workflow for document processing with AI from the initial question to live operation — including what you need to contribute to make it work.
A document processing with AI project runs in 4 steps: from “capture document types” to “go live incrementally,” 4 to 8 weeks total. Each step ends with a clear approval before the next one begins.
01 — Process
The steps in detail
Capture document types
Which documents come in, in which variants, with which fields.
Measure
We test on a batch of real documents and show the accuracy rate per field — before the quote.
Connect
The handoff to the target system is built and tested.
Go live incrementally
First, a person checks everything, then only the uncertain cases.
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 — Scope
What's included
- Recognition even with poor scan quality, phone photos, and skewed originals
- Extraction of relevant fields per document type, without templates per supplier
- Plausibility check — totals, dates, tax rates are cross-verified
- Handoff to accounting, ERP, or inventory management
- Review interface for cases where the system is uncertain
- Audit-proof log of every processing operation
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.
Does this replace our accounting software?
No, it feeds it. The processing sits upstream and delivers clean data to the system you already use.
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.
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 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.
05 — Decision
How to move forward
The most affordable next step is a conversation, not a quote. Twenty minutes is usually enough to clarify whether a project makes sense, what scope it involves, and whether we're the right fit.
If we're not, we'll say so. An honest no costs less than a project you abandon after three months — for both sides.
06 — Next
Related pages
- Document processing with AI — Overview
- Document processing with AI — Measuring success
- Document processing with AI — Integration
- Document processing with AI — Privacy
- Document processing with AI — How it works
- Document processing with AI — Common mistakes
- Document processing with AI — Where to start
- Document processing with AI — Subsidies
- Automate invoice processing
- AI automation
- AI knowledge base
- All guides
Next step
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Tell us what's eating up time today. That becomes an assessment with effort and benefit — and only then an offer.