— CHOOSING A PARTNER
Choosing an OpenAI implementation partner in Poland
— W SKRÓCIE
An OpenAI implementation partner owns the road from process to working solution: diagnosis, data, architecture, security, rollout and maintenance. Status in the OpenAI Partner Network describes a relationship with the technology vendor, not the quality of an implementation. Capability is tested with questions about data, cost, governance and who maintains the solution after handover.
Updated: · author: Arleta Marczyńska
Two things called "OpenAI partner"
A company looking for an implementation supplier runs into two ideas that are easy to confuse. The first is status in the OpenAI Partner Network, a formal relationship with OpenAI inside its channel program. The second is implementation capability, the ability to carry a project from process to working solution.
They are not the same, and separating them before the first sales call is worth the minute it takes. Status says a company is in the program and has access to its resources. It says nothing about how many implementations it has delivered, how it handles sensitive data, or what happens when a project starts going wrong. Capability is not checked by looking at a logo, only by listening to answers.
What an implementation partner is responsible for
The scope that actually decides whether a project succeeds covers six areas.
| Area | What the partner owns |
|---|---|
| Diagnosis | Naming the processes a model will change, and those it will not |
| Data | Judging whether your data is usable, and making it usable |
| Architecture | Model choice, integration approach, the control layer over what the model does |
| Security | Where data goes, who has access, how the system behaves under abuse |
| Rollout | Going live with users, training, adoption, measurement |
| Maintenance | What happens after handover, who answers for answer quality in six months |
The last row is routinely missing from proposals, and it decides whether the solution is still running a year later or sitting switched off. A model that answers well today may answer differently after its input data shifts or after an update on the vendor's side. The phenomenon has a name and operational consequences, covered in our glossary entry on model drift.
The questions to ask
You can ask all of these in a first meeting without technical preparation. The value is not in the answer alone, but in whether the supplier answers specifically or retreats into generalities.
Data
- Where does our data physically go once it is sent to the model, and how long does it stay?
- Can our data be used to train the vendor's models, and on what basis do you know that?
- What happens to the data when we end the engagement?
- Which of our data should never reach a model at all, and how do you enforce that technically?
Quality and control
- What happens when the model answers wrongly? Who notices, and how?
- How do you test the solution before handover, and do we get the results?
- Where in the process does a human make the decision?
- How do you protect the system against instructions smuggled in as user content?
That last question concerns a class of vulnerability specific to systems built on language models, covered in our entry on prompt injection. A supplier hearing it for the first time has not yet built a system that works on somebody else's text.
Cost
- What is the total cost over two years, split into implementation, model usage, maintenance and our own people's time?
- What happens to the bill when the number of users triples?
- Which parts of the solution tie us to one vendor permanently?
The third of these concerns vendor lock-in. The answer "nothing ties you" is usually untrue, because something always does. The point is knowing what, and at what price it can be undone.
Effect
- How will we know in six months that this worked? Give a measure, not an impression.
- How will we know it did not, and what do we do then?
- How many of your implementations from the past year are still running, and how do you know?
Warning signs
A few things should raise a flag regardless of how well the presentation went.
- A quote without a diagnosis. A specific figure before anyone has looked at your processes and data means the supplier is selling a product, not solving a problem.
- One model for everything. Matching technology to the task is part of the work.
- A promised percentage of savings. Nobody knows that number before the implementation.
- Partner status presented as a quality certificate. It is a status in a channel program, covered in detail on our page about the Select tier.
- A pilot with no defined condition for going further. A pilot without a success criterion never ends and never scales.
- No conversation about maintenance. An offer that stops at handover pushes the hardest part onto the customer.
Why the order matters
Most failed AI projects do not fall over on the technology. They fall over because the data was not ready, the process was not written down, and nobody in the organisation was obliged to use the new tool. We take those causes apart in why AI projects fall apart.
The practical conclusion for choosing a supplier: a partner who starts with questions about processes and data is working in the order that gives a project a chance. A partner who starts with a tool demo reverses that order and moves the risk onto the customer.
Where we sit in this
yesfor.ai runs readiness audits, designs implementation architecture and trains teams. YES FOR sp. z o.o. holds OpenAI Select Partner status. We still work with whichever model fits the task, and we tell clients when the task needs no model at all.
If you are considering an implementation, let us start with what has to change in the process. The technology choice comes later and gets easier.
— OUR STATUS IN THE PROGRAM
YES FOR sp. z o.o., the company behind yesfor.ai, is an OpenAI Select Partner. What this status means, and what it does not.
Frequently asked questions
- Are there OpenAI partners in Poland?
- Yes. The OpenAI partner program is global and not limited to one market. YES FOR sp. z o.o., the company behind yesfor.ai, holds OpenAI Select Partner status. Worth remembering: OpenAI does not publish a full list of Select-tier partners, so a company's absence from the partner search settles nothing.
- How does an OpenAI partner differ from an IT company using the API?
- Anyone can use the API by opening an account and paying for usage. Partnership is a formal status in OpenAI's channel program, with access to implementation materials and support. The difference concerns the relationship with the technology vendor, not technical skill, which no status confirms on its own.
- How do I verify that a company really is an OpenAI partner?
- Ask for the tier name and the program year in which it was granted. Advanced and Elite partners appear in the OpenAI Partner Locator. For the Select tier a listing is not the rule, so the proof is confirmation from the program, not a badge on a website.
- What does an OpenAI implementation cost?
- It depends on scope and no single figure answers it honestly. A sound quote splits the cost four ways: implementation work, licences and model usage, maintenance after handover, and the time of your own teams. An offer showing only the first line understates the total.
- What should I ask before signing an implementation contract?
- What happens when the model answers wrongly, where company data goes and for how long, who maintains the solution after handover, how you will measure the effect, and how you will know the project failed. Answers to the last one separate suppliers most sharply.
- Should an OpenAI partner work only on OpenAI models?
- No. Model choice is a technical decision made for a specific task, cost and data requirement. A partner proposing the same model for every problem is selling their own convenience, not a solution.
- Where should the conversation start?
- With the process that hurts and the data that process leaves behind. Tool choice is the last step, not the first. If the conversation opens with a model name, the order is reversed.
Sources and further reading
- OpenAI Partner Network, program pageDescription of the program, partner tiers and partner roles.
- OpenAI Partner LocatorPartner search for enterprise customers, covering the Advanced and Elite tiers.
- Introducing the OpenAI Partner NetworkProgram launch, tier structure and specialisations.
Who wrote this
Arleta Marczyńska, founder of YES FOR sp. z o.o., CEO of the international freight forwarder EXPORTSY, a customs agent with fifteen years in the transport industry, an expert of the European Institute of Road Transport. OpenAI Select Partner.
Read next
Let us talk about your OpenAI implementation
We start with the process and the data, not with the model. An intro call takes thirty minutes.