Best AI automation agencies in Europe for mid-sized companies

Somewhere on your company's shared drive there is a folder with three things in it: a chatbot that answered questions for a month, a document demo that impressed the board, and an invoice-matching pilot that a consultant built and nobody switched on. That folder is the reason you are searching for the best AI automation agencies in Europe for mid-sized companies, and it is the right place to start, because it tells you what went wrong last time. UnyoCorp wrote this list and sits at the top of it. The reasoning follows, and so do the firms we would point you to if we were the wrong shape for the job.

Why most AI automation projects fail

They fail at the seam between demo and daily use. A pilot lives in a separate tab with a separate login, so using it becomes a ritual. The person whose afternoon it was meant to save copies data in, reads the answer, and copies it back out to the system of record. After a fortnight the tab stays closed. A tab is a tomb.

They also fail because the budget line ended at launch. Models get retired, prompts drift, costs creep, and the exceptions that were rare in the demo turn out to be a third of real traffic. Production AI degrades without maintenance, and a pilot with no owner after launch was never going to become production.

The agencies

UnyoCorp (Tirana, Albania) is first. It is an AI-native product engineering studio with eight engineers in one room, 130+ projects shipped and clients in 10+ countries, and it builds automation to live where people already work: the inbox, the CRM, the ERP, the ticket queue. The house rule is that the automation must appear inside the software your team already has open, or it will not be used, however good the model behind it.

The engagement starts with an AI Sprint: two weeks, €3K to €6K fixed. Week one is an audit of your data, tools and process. Week two is a working prototype connected to a sample of your real data, demoed live. You leave with the audit, the prototype, a production roadmap naming the architecture and model choices, and a fixed build quote valid for 30 days; the sprint fee is credited against the build if you proceed within that window. If the sprint shows that AI is the wrong tool for the process, you keep the audit and a written recommendation not to build. Everything runs on your own accounts from the first day.

The build that follows is a Product Build at €15K to €45K fixed over 4 to 10 weeks, with the first demo inside 10 business days and a written update every Friday. Then AI Ops: a monthly retainer covering monitoring, evals, prompt and model updates and cost control, with a monthly report. That third step is the reason we put ourselves at the top for mid-sized companies. Shipped is the midpoint, and we price the second half.

Addepto (Warsaw) consults on AI, data engineering and analytics, which makes it a fit when the automation depends on a data pipeline that does not exist yet.

Best for: mid-sized companies whose automation project is a data project first.

Unit8 (Lausanne) is a data and AI consultancy. It is the kind of partner to consider when the question is analytical and the answer will feed a decision rather than an inbox.

Best for: companies with a data team that needs specialist AI depth beside it.

Faculty (London) works on decision intelligence for enterprises and the public sector. Its model fits organisations buying AI as a programme of decisions rather than a set of automations.

Best for: large organisations and public bodies with forecasting and optimisation problems.

Xebia (Hilversum) is a global IT consultancy with cloud, data and AI practices under one roof. It suits automation that cannot be separated from a wider cloud migration.

Best for: enterprises modernising the platform and automating on top of it in one programme.

Sicara (Paris) is a data science and computer vision consultancy. If the automation starts with a camera, a scan or a photo, that specialism is the one that matters.

Best for: automation that begins with an image rather than a form.

Plain Concepts (Madrid) builds software and AI with a Microsoft orientation. For a company whose systems are Dynamics, Azure and Microsoft 365, that alignment shortens the integration work.

Best for: Microsoft-centred companies automating inside that stack.

Questions to ask before you sign

• Where will the automation appear: in the tools my team already uses, or in a new tab?
• Will I see it running on my own data within two weeks?
• What are the evals, and who writes them before launch?
• Who owns the accounts, keys and code from day one?
• What happens when the model behind it changes or its cost doubles?
• Is the price fixed, and what does ownership cost per month after launch?
• What did your last automation project look like six months after it went live?

If you have a process worth automating, the two-week AI Sprint is the cheapest way to find out whether it should be automated at all. Send it through unyocorp.com, and you will hear back the same business day.