AI that works inside your
systems and processes
We design, integrate and run AI solutions that connect to your data and tools — from knowledge assistants, through process automation, to custom agents. No showpieces: with tests, cost control and a human where it matters.
What we will build for you
From the first idea to a working integration.
Integrating AI with existing systems
We connect language models to your tools through APIs, webhooks and databases — including online shops, for example Shopify. AI works where you already work, without replacing your systems.
Knowledge assistants (RAG)
An assistant that answers from your documents, websites and catalogues. Every answer rests on your data, and when the data is missing, it says so plainly.
Process automation with LLMs
Sorting and answering e-mails, extracting data from documents, classifying requests, reports. Repetitive office work done faster and more consistently.
Custom AI agents and workflows
Agents that carry out multi-step tasks using your tools — with human approval at the steps that require it.
AI audit and proof of concept
We check where AI genuinely pays off: use cases, feasibility and cost. Before you spend the budget, you get a working prototype and concrete numbers.
Operations and quality control
Answer tests, monitoring, cost control, safeguards and updates. AI keeps running reliably months after launch.
We agree the scope and the way of integrating individually for each project — it depends on the interfaces your systems provide.
Four steps from idea to a working solution
We start small and measurable, and expand only once the effect is visible.
Discovery
We talk about your processes, data and goals. We pick the use cases that make the most business sense and can be delivered safely.
Proof of concept
We build a working prototype on your data and check its quality on real examples — before you decide on a full deployment.
Integration
We connect the solution to your systems and add safeguards, tests and a mechanism for handing a case to a human.
Operate and improve
We monitor quality and cost, update content and models and extend the solution to further use cases.
Engineering before buzzwords
SANIK is a Polish IT company. We treat AI like any other piece of software: it should behave predictably, be testable and maintainable.
Answers grounded in data
Our solutions answer from your data, not from their own guesses. We check quality with tests before it reaches users.
Your data stays yours
We do not use your content to train models. Processing is GDPR-compliant.
A human in the loop
Sensitive and unusual matters go to your team. AI supports people; it does not pretend to be them.
Measurable results and costs
We agree up front what counts as success and keep an eye on model usage costs. Numbers instead of promises.
Maintainable engineering
Tests, monitoring and documentation from the start. The solution can be developed and handed over, not just shown in a presentation.
Local, in Polish
A Polish company with contact in your time zone. You talk to a real person, not a foreign helpdesk.
How we can work together
We choose the model to fit the stage you are at. We prepare a quote after a conversation.
Audit and consulting
A short, concrete analysis: where AI makes sense in your business, what is feasible and roughly what it may cost.
A fixed-scope project
A prototype or a full deployment with a clearly defined scope, timeline and acceptance criteria.
Ongoing support
Operations, monitoring and development of the solution on a fixed monthly basis.
Frequently asked questions
Where do we start if I don't know where AI could help me?
With a short conversation and an audit. Together we pick the use cases, assess feasibility and cost, and only then build a prototype.
Can AI be connected to the systems I already use?
Usually yes, as long as the system exposes an interface (an API, webhooks, a data export) or we can access its database. We check what is possible at the discovery stage — we do not promise an integration before verifying it.
Can AI make things up?
Language models can be wrong, so we design solutions to answer from your data, to say plainly when they don't know something and to be tested before launch. In sensitive matters a human decides.
What happens to my data?
It stays yours and is not used to train models. We process it in line with GDPR, and we agree the scope of data with you at the start of the project.
How much does it cost?
It depends on the scope, so we quote projects after a conversation. The ready-made AI assistant has transparent pricing on its own page.
Do you also handle operations after go-live?
Yes. We monitor quality and cost, update content and make sure the solution keeps running reliably.
Do I have to replace the tools I use?
No. We want AI to work inside your current tools and processes, not force you to rebuild your business.
Let's talk about AI in your business
Briefly describe what you want to improve — we will tell you whether and how it can be done, and suggest the next step. No commitment.