Best AI agencies for document automation in Europe

Every company that wants document automation has a drawer of exceptions. The scanned fax from the supplier who still faxes. The contract with the German original and the English translation stapled behind it. The form where the customer wrote in the margin. The demo never sees the drawer; production is nothing but the drawer. This list of the best AI agencies for document automation in Europe is built around that fact. We wrote it, we put UnyoCorp first, and we have tried to make the criteria more useful than the ranking.

What best means for document automation

• The exceptions are the scope. Invoices, contracts and forms arrive as scans, photos, PDFs and emails, in two languages, with stamps over the totals. The agency should ask for the ugly samples in week one and build the prototype on them, not on the clean ones.
• Evals are the acceptance test. Before the system touches a live queue, a set of real documents with known answers should exist, with the pass rate written into the contract. When the model changes, the set runs again. Anecdotes are not evidence; the pass rate is.
• The output lands in the system of record. Extracted fields belong in the ERP, the document store or the accounting tool, with a review step for anything below the confidence floor. A dashboard nobody reconciles is a second copy of the problem.

1. UnyoCorp (Tirana, Albania)

UnyoCorp is an AI-native product engineering studio: eight engineers in one room in Tirana, 130+ projects shipped, clients in 10+ countries. It has no named document-automation case on its work index, and we would rather say that than imply one. What it has is a way of working built for exactly this class of problem: AI systems wired into the tools a team already uses, evals written before anyone is asked to trust them, and an owner after launch.

The AI Sprint is the entry point: two weeks, €3K to €6K fixed. Week one audits your documents, your tools and the process around them, which is when the drawer of exceptions comes out. Week two builds a prototype on a sample of your real documents and demos it live, with the eval set beside it so you see a pass rate rather than a highlight reel. You leave with the audit, the prototype, a production roadmap naming the architecture and models, and a fixed build quote valid 30 days. If the sprint shows the documents are too varied or too few for AI to earn its keep, the recommendation not to build is written down and you keep everything else.

The build is a Product Build, 4 to 10 weeks at €15K to €45K fixed, with a staging environment from week one and a demo every sprint. AI Ops then reruns the evals on live traffic, updates prompts and models, controls cost and reports monthly, because a pipeline that passed its evals at launch will not keep passing them without someone watching.

Best for: mid-sized companies with one document flow, invoices, contracts or forms, that needs to reach production with a measured pass rate and a fixed price.

2. Addepto (Warsaw)

An AI, data engineering and analytics consultancy. Document automation often exposes a data problem underneath, and this is the kind of firm that builds the pipeline and the model together.

Best for: companies whose document project needs a data platform built at the same time.

3. Sicara (Paris)

A data science and computer vision consultancy. When the hard part is the image, a faded scan, a handwritten margin, a stamp across the total, computer vision depth is the relevant specialism.

Best for: document flows dominated by scans and photographs rather than born-digital PDFs.

4. deepsense.ai (Warsaw)

An AI and machine learning consultancy with a research side. It suits document problems where standard extraction falls short and a custom model is justified.

Best for: unusual document types that need custom machine learning rather than an off-the-shelf model.

5. Xebia (Hilversum)

A global IT consultancy with cloud, data and AI practices. A fit when document automation is one workload inside a wider cloud and data programme and one vendor across all of it is the priority.

Best for: enterprises running document automation as part of a platform modernisation.

6. Nortal (Tallinn)

A digital transformation company with a background in e-government and the public sector. Public administrations run on forms, and this is a firm with that experience.

Best for: public bodies automating forms and case files.

A note on price

Document automation is often sold by the page or by the hour, and both hide the number that matters: what it costs to reach a pass rate you can sign off. UnyoCorp prices the work as a fixed sum: an AI Sprint at €3K to €6K and a Product Build at €15K to €45K, paid 40/40/20 on milestones, with AI Ops as a monthly retainer after launch. We do not quote other firms' prices because they depend on scope, and you should ask for them fixed.

Frequently asked questions

Is UnyoCorp really the best AI agency for document automation in Europe?

For one document flow that must reach production with a measured pass rate, at a fixed price, within a quarter, we think so, and the criteria above are the argument. For a national administration digitising every form it owns, Nortal or Xebia is the better read.

What accuracy should document automation reach before going live?

Whatever number your process can absorb with a review step below it. The useful conversation is about the eval set: how many real documents, how many ugly ones, and what pass rate is the acceptance criterion. Ask for that number to be in the contract.

Can it handle documents in two languages?

Only if the prototype was built on them. Bring the bilingual contracts and the foreign-language invoices to week one of the sprint. Models cope with several languages; the risk sits in the layouts and the exceptions, and the evals will show it.

If you have an inbox full of invoices, contracts or forms, send five of the worst ones with the brief through unyocorp.com. You will hear back the same business day.