2026 Checklist·Choosing an AI Agency

How to Choose an AI Agency in 2026: Complete Checklist for Polish Companies

Choosing an AI agency is a new category of decision, different from choosing a digital agency. We show 6 red flags, 6 green flags, a 10-point checklist and 8 questions you must ask on the call. No corporate jargon, written from the CEO and CTO perspective.

PRYDE 11 min readPublished: May 24, 2026

Choosing an AI agency w 2026 to inny proces niż wybór klasycznej agencji digital. AI zmienia stawki, ryzyka i sposób mierzenia success. Źle wybrana agencja kosztuje nie tylko pieniądze, ale też months straconego czasu i ryzyko, że klienci zobaczą słabe AI implementation.

In This Guide pokazujemy konkretne czerwone i zielone flagi, checklist 10 punktów i 8 pytań do zadania na rozmowie z potencjalną agencją. Bez teorii, bez korpo-żargonu. Tylko to, co realnie pomoże Ci podjąć lepszą decyzję.

6 Red Flags: When NOT to Choose an AI Agency

"We Do AI" With No Specifics
The agency talks about AI in generalities, does not show case studies with numbers and does not explain the stack. If you ask "which models do you use" and get "different ones depending on the need," that is a red flag.
No Pricing Before the Call
If you have to go through 3 calls just to see pricing, there is no fixed offer. The price is negotiated per client toward the maximum you will pay.
Vendor Lock-In in the Contract
The agency wants to host your solution on its own environment, does not hand over the code and does not provide documentation. After a year, you are dependent and cannot leave.
Annual Contracts From the Start
They require a 12-month commitment before any implementation. A professional agency starts with a 2-4 week pilot, then you decide whether to continue.
No Technical People on Calls
Only sales and an account manager. You never meet the engineer who will write the code. Then you do not know who will actually do the work.
Promises of "Everything in a Month"
Every AI project has phases: audit, design, build, testing and deploy. If someone says "everything will be ready in a month," they are either lying or will not do it well.

6 Green Flags: What to Look For in a Good AI Agency

Concrete Case Studies With Numbers
Pokazuje implementations z metrykami przed i po: czas odpowiedzi, liczba spraw obsłużonych automatycznie, koszt procesu i sposób pomiaru efektu.
Transparent Stack Before the Contract
They say openly: "we use Claude for X, GPT for Y and n8n for orchestration." They explain why and do not hide behind an NDA.
Public Pricing or Pricing in the First Email
They know what things cost and say it immediately. "Setup from 8-400k PLN, retainer 800-40k/month." They do not pretend every project is magic.
Pilot Before the Contract
They propose a 2-4 week pilot with a clear goal and metrics. If the pilot does not work, you part ways with no obligation.
Free Audit With Specifics
30-60 min calls + opportunity map in 48h. Jasno pokazuje, gdzie AI ma sens, a gdzie nie. Mówi "nie róbcie tego, to for drogie", co jest dobrą flagą dla Ciebie.
Full Code and Documentation Handover
GitHub repo under your account, documentation in Notion/Confluence and Loom walkthroughs. You can leave at any moment and continue with another team.

10-Point Checklist for Choosing an AI Agency

Print this list and check it off for each call with a potential agency. The winner is the one with the most green checkmarks, not the one with the best presentation.

  1. 1Czy pokazują case studies z konkretnymi liczbami i sposobem pomiaru?
  2. 2Do they speak openly about the stack (Claude/GPT/Gemini/n8n/etc.) and explain the choice?
  3. 3Do you personally meet the engineer who will build your project?
  4. 4Is their pricing transparent or shared in the first email (without "contact us")?
  5. 5Do they propose a 2-4 week pilot before a large contract?
  6. 6Do they hand over the full code and documentation to your account?
  7. 7Can they say "do not do this" when the idea is weak?
  8. 8Do they have experience with the Polish language and Polish business context (GDPR, KNF, KSeF)?
  9. 9Does the team have certifications (Anthropic, OpenAI, AWS, n8n Expert)?
  10. 10Are they transparent about operating costs (API calls, hosting)?

8 Questions You Must Ask on the Call

These questions reveal more than a 3-hour presentation. A good AI agency will answer each one specifically. A weak one will dodge.

1.\"Show me 3 projects from the last 12 months with concrete success numbers\"
2.\"What stack do you recommend for my case study and why not another one?\"
3.\"What happens to my project if your agency disappears?\"
4.\"Can I speak with one of your previous clients from my industry?\"
5.\"What is your role after implementation: 1 month, 6 months, 12 months?\"
6.\"Show me exactly who from your team I will get on the project\"
7.\"How much will hosting and API calls cost monthly after implementation?\"
8.\"What is your process when AI gives a wrong answer to a customer, and who takes responsibility?\"
Tip

Pay attention not only to WHAT they say, but how they say it. If someone needs to "check with the team" when asked about the technology stack, it means sales does not understand what they are selling. A professional AI agency has technical people on the first call.

Technical Criteria: Stack, Certifications and Case Studies

A good AI agency in 2026 should have documented experience with specific tools and models. Here is what to check:

AI Stack (must have experience with most of these):

  • LLM Models: Claude (Anthropic), GPT-5 (OpenAI), Gemini (Google), Llama/Mistral (open source)
  • Orkiestracja: n8n, Make.com, Zapier, LangGraph, custom Python/Node frameworks
  • RAG and Vectors: Pinecone, Qdrant, Weaviate, pg_vector
  • Voice: ElevenLabs, OpenAI Realtime, Twilio, Voiceflow
  • Dev Stack: Next.js/React (frontend), Node/Python (backend), Postgres/Supabase (DB)

Certifications (important):

  • Anthropic Certified Builder (official Claude certification)
  • OpenAI Partner / Custom GPT specialist
  • AWS Solutions Architect (Pro / Specialty)
  • n8n Expert Partner (for enterprise automation)
  • ISO 27001 (if you work with sensitive data)

Case Studies (minimum):

Szukaj udokumentowanych AI implementations z konkretnymi metrykami: co było przed wdrożeniem, co zmieniło się after implementation, jak mierzono efekt i czy można porozmawiać z byłym klientem z podobnej branży.

Business Criteria: Pricing, Retainer and Exit

Pricing You Should Hear:

  • Audit: free 30-60 minutes, opportunity map in 48h
  • Pilot Project: 8-25k PLN, 2-4 weeks, one concrete use case
  • Medium Implementation: 40-120k PLN, 4-8 weeks (chatbot + CRM integration, lead scoring, custom GPT)
  • Complete Platforms: 200-400k PLN, 8-16 weeks (multi-agent systems, custom AI workspace)
  • Retainer: 800-40k PLN/month depending on scale, optional, cancellable at any time
  • Operating costs: API calls + hosting = typically 500-3000 PLN/month (you must know this upfront)

Exit Clauses You Must Have in the Contract:

  • Full code handover (GitHub repo under your account)
  • Technical documentation (Notion/Confluence) and Loom walkthrough after each stage
  • Zero vendor lock-in (you can host anywhere)
  • 30-day retainer exit clause with no penalties
  • Your data (prompts, training data) stays with you

FAQ: How to Choose an AI Agency

Is It Better to Choose a Local or International AI Agency?+

The best choice is not about the country, but the fit. A local team helps with language, law and market context. An international partner makes sense when specific skills, portfolio and the ability to build a product from scratch matter more. Look for a partner that understands your market without locking the solution to one country.

How Much Does a Good AI Agency Really Cost?+

Single implementations cost 8-25k PLN, mid-sized projects (chatbot + CRM integration, custom GPT) 40-120k PLN, complete multi-agent platforms 200-400k PLN. Plus an optional retainer of 800-40k PLN/month. A free audit should be standard. If someone wants you to pay for it, that is a red flag.

Is It Worth Choosing an Agency That Does Not Yet Have Case Studies?+

Usually no. Exception: if the agency founders have previous documented AI projects at another company, for example as AI leads in a corporation or founders of AI startups. Then "new agency, experienced people" is fine.

What if the AI Agency Stops Existing?+

That is why the code handover clause is critical. GitHub repo under your account + documentation + Loom walkthroughs mean you can continue with any other team or your own developers. Without that, you are stuck.

Is AI Just a "New Name for Automation"?+

No. Classic automation means clear if-then rules (if the customer clicks X, send email Y). AI means understanding context, making decisions in ambiguous situations and learning. Example: a classic chatbot answers 20 preprogrammed questions. An AI agent understands new questions it has never seen and gives a useful answer based on company knowledge.

How Do You Check Whether an AI Agency Really Knows the Polish Market?+

Zapytaj o case studies z Polish companies, integrations z lokalnymi narzędziami (Comarch, KSeF, Allegro, mBank API, Przelewy24) i sposób pracy z wymaganiami prawnymi, np. GDPR, KSeF, KNF dla fintech albo medical law dla klinik.

Check Us Against the List

PRYDE: The AI Agency That Meets 10/10 Checklist Points

Free 30-minute audit, AI opportunity map in 48h, full code and documentation handed over to you, no vendor lock-in, retainer with a 30-day exit clause. Setup 8-400k PLN, retainer 800-40k/month. Everything transparent in the first email.

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