// Blog · Practice

How to choose an AI agency for a small business

Updated: 2 November 2026 · reading time about 10 minutes

“AI implementation” is now on the menu of many software houses, marketing agencies and freelancers. For the owner of a small company that is good and bad news at the same time: there is plenty of choice, but offers are hard to compare and prices for seemingly the same thing differ several times over. Below we explain how to choose an AI agency for a small business – how to recognise a provider who will deliver results, what to ask in the first conversation and what to avoid.

A fair warning: we are an AI agency ourselves, so we don't publish a ranking in which we come out on top. Instead, we give you criteria you can use to assess any provider – including us.

Which AI agency for a small business? Start with what you need

“Which AI agency is the best” has no single answer, because agencies do very different things. Before comparing offers, decide which group your need belongs to:

Need	Example	Who to look for
Off-the-shelf tool	The team should write emails and quotes faster	Training and setup of ChatGPT, Gemini or Copilot – often one day of workshops is enough
Process implementation	Website chatbot, automated enquiry handling, a voicebot booking appointments	An AI implementation agency with integration experience
Custom solution	An AI agent working in your ERP, document analysis, your own model	A development team with AI and data security skills

For most SMEs the middle column is the right one. If you are not sure where you stand, a good first step is an AI audit – a short review of your processes that ends with a list of use cases ranked by return on investment.

Rankings of AI implementation agencies – can you trust them?

Search engines readily return lists of the “best B2B AI agencies” or “rankings of AI implementation agencies”. Read them with care. They are often prepared by one of the listed companies or by a site that charges for a place on the list. Even honest rankings usually score team size, number of reviews or brand recognition – and those say little about whether an agency will implement a chatbot well in a five-person accounting office.

A ranking can be a starting point for a shortlist. Make the final decision based on a conversation, references and a specific proposal for your company.

8 criteria for choosing an AI agency

1. It starts from the problem, not the tool

A good agency asks more than it talks in the first conversation. It wants to know how many enquiries you handle a day, who does it, which systems you use and what bothers you most today. If within the first few minutes you hear a model name and a promise of a “revolution” before anyone has asked about your processes – that's a warning sign.

2. It shows working implementations

Ask for a demo of a solution that runs at a client's, not a slide deck with mock-ups – ideally in an industry similar to yours. Ask whether you can talk to that client. An agency with satisfied clients usually has no problem sharing a contact.

3. It knows the Polish context

A chatbot has to understand Polish well, including colloquial language and typos. The implementation has to work with the systems Polish companies use: accounting software, booking systems, store platforms, Allegro or KSeF. The agency should also know the law – GDPR and the AI Act – and the grant rules if you want to use them.

4. It is clear about where your data goes

Ask directly: which model does the solution use, where is the data processed, can the model provider use it for training and who will sign a data processing agreement with you? A good agency answers without hesitation and can offer a locally hosted model when the data is particularly sensitive.

5. It measures results

Before you start, agree how you will check whether the implementation paid off: number of enquiries handled, response time, share of cases handed to a person, hours saved. An agency that won't commit to any metric leaves you with a gut-feeling assessment.

6. It delivers a first version quickly

In a small company an AI project shouldn't run for six months before anything works. A sensible plan delivers a first working version of one process within a few weeks, tests it on real cases and only then expands. We usually launch the first version in 7–14 days.

7. It has a maintenance plan

An AI solution doesn't end on launch day. Prices, offers and terms change, so the knowledge base needs updating. Model providers retire older versions and integrations need watching. Ask who will do this after launch, at what cost, and how quickly the agency responds to an outage.

8. It doesn't lock you in

Agree who owns the prompts, the knowledge base, the automation configuration and the conversation data. If you part ways, you should be able to move them to another provider. Solutions built on open tools, e.g. n8n running on your own server, make such a switch easier.

Questions to ask in the first conversation

• What similar implementations have you done and can I talk to the client?
• Which language model will you use and why that one?
• Where will my customers' data be processed and who will sign the data processing agreement?
• What happens when the AI doesn't know the answer or makes a mistake?
• How will we know the implementation paid off?
• What does maintenance cost after launch and what does it include?
• What do I get if we end the cooperation?
• Can my company use a grant and who will prepare the technical part of the application?

Specific, calm answers to these questions tell you more about an agency than the portfolio on its website.

Red flags in AI agency offers

• Guaranteed savings (“you'll cut service costs in half”) before any analysis of your processes.
• “Our own unique AI model” for a small company. Usually it means access to one of the popular models with extra instructions – which is fine, but shouldn't be sold as a breakthrough.
• No pilot – a big project and a big invoice straight away, without a test phase.
• Evasive answers about data or no data processing agreement.
• A subscription without a scope – a monthly fee that doesn't say what exactly you get.
• An AI agent with full access to payments, invoices or sending emails without human approval.

How much working with an AI agency costs

You'll find two main billing models on the market. In the project model you pay once for the implementation and then separately for maintenance and changes. In the subscription model you pay a fixed monthly amount covering implementation, maintenance and development. On top of that come language model usage costs, which depend on the number of conversations.

When comparing offers, check whether the price includes maintenance, knowledge base updates and model costs, or whether these are separate items. A cheap implementation with expensive, vague maintenance often turns out more costly over a year. Detailed ranges and a sample calculation are in the article how much an AI implementation costs. Part of the cost may be covered by an AI grant – check this before signing, as some programmes don't reimburse expenses incurred before the application is filed.

How to test an agency before signing a contract

1. Make a shortlist. Two or three agencies from recommendations, search and industry lists. More than three offers usually just makes the decision harder.
2. Describe one process. Send every agency the same description: what happens, who does it, how many times a day, in which systems. That way you compare answers to the same question.
3. Compare proposals. Not just the price, but the scope, time to the first version, how results are measured and maintenance terms.
4. Start with a pilot. One process, a few weeks, clear success criteria. After a pilot you know more about an agency than after five meetings.
5. Check the contract. Ownership of the solution and data, data processing agreement, outage response time, termination terms.

What to look for depending on your industry

The same criteria weigh differently depending on what your company does. A few examples from conversations we have with SMEs:

• Clinic, salon, practice. Integration with the booking system and phone handling matter most. Ask whether the agency has experience with voicebots and how the solution hands a call over to reception when a patient asks about something unusual.
• Online store. What counts is the connection to the store platform, order statuses and carriers. An assistant that can't see orders will only answer general questions about delivery and returns.
• Accounting office, law firm. Confidentiality and professional secrecy come first. Ask about a locally hosted model, document permissions and a log of who used the assistant and when.
• Manufacturing or logistics company. Integrations with ERP and WMS and work on documents – orders, specifications, waybills – are key. Here you need an agency with developers on the team, not one that only configures off-the-shelf tools.

An AI agency or an in-house team?

A small company rarely needs a full-time AI specialist. An implementation requires several skills at once – language models, integrations, data security, regulation – and after launch there is less work and it comes in waves. That's why an agency usually pays off for SMEs, while inside the company it's worth appointing one person who knows the processes, owns the knowledge base and is the provider's counterpart. An in-house team makes sense when AI becomes part of the product you sell, or when there are so many solutions that working on them takes a full-time job.

Summary

The best AI agency for a small business isn't the one at the top of a ranking, but the one that starts from your problem, shows working implementations, is clear about data, measures results and doesn't lock you in. Make a shortlist, send everyone the same process description, compare proposals and start with a pilot. If you'd like us to be one of the agencies you compare, start with an AI audit or a free consultation. To see what an agency can build for you, read what an AI agent is.