Guide

What does AI document processing cost? Factors, process, and funding options

There's no credible flat rate for AI document processing — the projects behind them vary too widely. What actually drives the effort, how you get a concrete quote, and which subsidies are available in Austria.

Quote on request4 to 8 weeksAs of 2026
In short

A flat rate for AI document processing cannot credibly be quoted — it depends on the scope of the project, not the provider. Depending on the number of document types and target system. The actual proposal comes only after a short, non-binding initial conversation.

01 — Price

What it costs

Price
Individual based on effort
Typical duration
4 to 8 weeks

Depending on the number of document types and target system. A fixed price can only be quoted seriously after the initial meeting — send us a brief description of your project, and we'll send a proposal that fits the scope and effort.

02 — Factors

What drives the price

  • Scope and number of integrations. Every additional system that needs to participate costs effort — regardless of how simple the core is.
  • State of your starting point. Clean data, existing content and documented processes significantly reduce effort. Chaos is the most expensive cost factor.
  • How much new material needs to be created. What you can contribute doesn't need to be invented by anyone. This is the biggest lever you have in your own hands.
  • Requirements for design and customization. A solid standard system costs a fraction of a custom solution — and is sufficient more often than vendors admit.
  • Operating model. One-time project costs or ongoing support: calculated over three years, this often gives a different picture than the quote comparison.

03 — Funding

Subsidies in Austria

For digitalization projects, there are several funding programs in Austria, such as KMU.DIGITAL or the aws digitalization funding. Whether and to what extent one of these is currently relevant for your project, we'll review with you individually. Current conditions: kmudigital.at, aws.at.

Which program is relevant, how high the subsidy currently is, and whether the budget for the current funding period is still open changes regularly — plus there are regional funding programs that vary by federal state. Only the information from the funding agencies themselves is reliable, not a fixed percentage stated here.

The most common mistake is always the same: commission first, then want funding. That doesn't work. Allow several weeks of lead time for application and approval.

04 — 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

05 — Questions

Frequently asked questions

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.

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.

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.

Is this audit-proof?

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

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.

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.

06 — Error

The most common mistakes

  • Starting too big. Projects where nobody can use anything for months fail more often than average. A small, usable first step is almost always the better way.
  • Not involving the people who work with it. Requirements that only come from management rarely match the actual work.
  • Not defining a success measure. Without a metric defined in advance, you can't say afterwards whether it delivered anything — and the next decision will be made on gut feeling again.
  • Overlooking operating costs. The project price is only part of it. What operation costs over three years belongs in the same calculation.
  • Creating dependency. If you don't get access, documentation and source code, you're locked in. That needs to be clarified before commissioning, not after.

Next step

Send us a few sentences about your project.

We read every inquiry ourselves and respond personally. No sales team, no callback form into the void.