![AI Automation Agency — What It Does and How Much It Charges [2026]](https://informatix.com.pl/og/en/ai-automation-agency-guide.png?v=1793102044)
The AI automation market is growing faster than the number of companies that can actually deliver it — which is why every second "AI agency" is really one person with a Make.com account. This article explains what an AI automation agency actually does, what it charges for each type of deployment, how to tell a partner from a tool reseller, and what to prepare before you send the first enquiry.
Key takeaways: An AI automation agency maps processes, builds the automations (workflows, integrations, assistants, agents), connects them to your systems and then maintains them. In Poland (10.2026): chatbot from 3,000 PLN, process automation 5,000–15,000 PLN, AI assistant (RAG) 15,000–40,000 PLN, production AI agent from 30,000 PLN. A good agency starts with a workshop and a pilot — not with selling licences.
What an AI automation agency does
The scope of an AI automation agency covers four layers
- Analysis and process mapping — a workshop with your team, counting hours, costs and errors in repetitive tasks; selecting the processes with the best effect-to-risk ratio.
- Building the automations — workflows (n8n, Make.com, Zapier, Power Automate), AI assistants with company knowledge (RAG), agents running multi-step tasks.
- Integrations with company systems — CRM, ERP, store, marketplaces, accounting (KSeF), APIs and webhooks; this is where most of the value and most of the risk lives.
- Maintenance and development — monitoring, prompt and rule tuning, model updates, further processes.
An agency differs from a tool vendor in that it is accountable for the process outcome, not for deploying a licence. It differs from a freelancer in scale and backup — though not always in quality; specialisation matters more than size.
Agency, freelancer or doing it yourself?
| Option | When it makes sense | Risk |
|---|---|---|
| Yourself (no-code) | Simple workflows without system integrations, budget up to ~2,000 PLN | Limits at integrations and error handling |
| Freelancer | One process, clear scope, budget 2,000–15,000 PLN | Availability; a single person is a single point of failure |
| Agency | ERP/CRM integrations, sensitive data, several processes, GDPR requirements | Higher cost, but accountability and backup |
In practice the line is blurry: the best freelancers work like mini-agencies, and some "agencies" are middlemen. The control question: who exactly will build and maintain the automation — and was that person in the room?
What an AI automation agency charges
Market ranges in Poland (as of 10.2026)
- Website chatbot (on a ready API, without system integrations): from 3,000 PLN.
- Process automation / workflow (integrations, validation, monitoring): 5,000–15,000 PLN.
- AI assistant with company knowledge (RAG) with CRM/ERP integration and access control: 15,000–40,000 PLN.
- Production AI agent (multi-step tasks, permission limits, audit): from 30,000 PLN.
- Maintenance: usually 10–20% of the project value per year.
At informatix every quote is preceded by a free scope analysis, and every engagement starts with a single-process pilot (2,000–6,000 PLN net) so you see results in numbers before committing to a larger programme. The project levels in detail are described in How much does AI implementation cost?.
How to choose an AI automation agency — a checklist
- Pilot before a big contract. A partner proposing a 100,000 PLN programme without a pilot is shifting all the risk onto you.
- Questions about data and security. Where will data be processed? Which models? Does customer data reach public models? Are there audit logs?
- Integration experience, not just prompts. Value is created by connecting AI to ERP, CRM and the store — ask for integration examples.
- Ownership of the solution. Workflows, prompts and documentation should land in your repository — no lock-in to one subscription.
- Success criteria in numbers. "50% faster ticket handling" instead of "we will deploy AI".
- Maintenance in the conversation. Ask what happens after go-live when a third-party API changes or the model gets more expensive.
- References and case studies. Concrete before/after numbers, not logo walls.
- Clear stages and payments. Every stage with a fixed price and acceptance criteria.
Red flags
- Promises of "full AI autonomy" without permission limits and human oversight.
- No conversation about GDPR and the AI Act when the process touches customer data.
- "Automations from 500 PLN" pricing without scope — usually ends in extras.
- Deployment without monitoring: automation without alerts breaks silently.
- A contract without clauses on code ownership, export and documentation handover.
What to prepare before the first meeting
You do not need a technical specification. Enough: a list of repetitive tasks in the team (even a rough one), approximate monthly case volumes, a list of systems (CRM, ERP, store, email) and a note on which data is sensitive. A good agency will walk you through the rest — from the process map to a measurable pilot. The step-by-step delivery process is described on the Automation & AI service page.
Frequently asked questions
What does an AI automation agency do?
It maps processes in your company, picks the ones with the best effect-to-risk ratio, builds the automations (workflows, integrations, AI assistants, agents), connects them to your systems (CRM, ERP, store, accounting) and then monitors, maintains and develops them.
How much do AI automation agencies charge?
- In Poland in 2026: chatbot from 3,000 PLN, process automation 5,000–15,000 PLN, an AI assistant with company knowledge 15,000–40,000 PLN, a production AI agent from 30,000 PLN, plus 10–20% of the project value per year for maintenance. Everything depends on the number of integrations and security requirements.
Agency or freelancer — which should I choose?
For a simple, single process a freelancer with integration experience is enough. Choose an agency when automation touches critical systems (ERP, accounting), sensitive data, several processes at once, or when you need an SLA and continuity of maintenance.
How do I verify an AI agency is credible?
- Ask for: a pilot before a big contract, integration examples (not just prompts), case studies with before/after numbers, answers about GDPR and the AI Act, clauses on code ownership and export, and a maintenance plan after go-live.
Can AI automation work on my company data?
Yes — and that is when it delivers the most value. Assistants built with RAG are not "trained" on your data: the model retrieves from your company knowledge base at answer time, the data stays in your infrastructure, and every access is logged.