We help assess where AI makes sense and how to implement it without unnecessary risk.
We advise where AI has real business sense and we deploy concrete solutions — from website chats to internal apps supporting the team's work. We don't favor a single vendor and we start with small, verifiable steps.
You'll leave with something concrete
- 30 min, no sales presentation
- Assessment: whether AI has real sense for you
- First step suggested — if we see potential
- No commitment to further work
The most common situations where we help.
Everyone says "implement AI" — but no one says how.
The board expects results, vendors offer ready-made solutions, and you don't know where to start without burning budget.
The team uses ChatGPT or other tools — but without clear rules.
Employees use AI in their own way, often on private accounts and outside company control. You don't know if it brings real benefits, and at the same time you want to give the team a flexible, safe tool while reducing risks.
You worry about depending on a single vendor.
Every AI platform claims to be the best. You don't know how to assess whether what you choose won't become a ball and chain a year from now.
AI pilots succeed — implementations don't.
The demo works, the initial test looks great, and after a few months the tool sits unused. Adoption and habit change are missing.
You don't know which processes are suitable for automation.
You hear about companies that saved 30% of time. You don't know where to look for those opportunities, or how to safely check.
You worry your company will be left behind.
Competitors are doing something with AI — maybe PR, maybe a real implementation. You're sitting in analysis and don't know how to start without risking a wrong decision.
If any of these situations sound familiar — it's worth a conversation. Together we'll assess whether and where AI really makes sense for you.
Advisory — we help you decide on AI
Independent assessment of where AI has the best chance to create measurable value in your company, which tools fit and how to start safely. No vendor commissions.
AI diagnosis in the company
We identify processes where AI has the best chance to create measurable value — and those where it's not worth starting. We assess data readiness, team maturity, regulatory risks and potential business impact.
AI tool selection and pilot
We match AI tools to your context and immediately design a safe, scoped pilot in a real environment. We compare options on total cost, data security and vendor lock-in risk, and we close the pilot with measurable success criteria and a clear "scale / don't scale" decision.
Implementation and adoption
We lead through implementation and real change of habits in the organization. Adoption is not training — it's changes in processes, tools and the team's way of working. We measure KPIs so the tool truly starts working in the business.
What we implement — concrete AI solutions
When the decision is made, we deliver. Three types of solutions we really build for clients — from ready apps to custom agents.
Internal AI apps for the team
When the team loses days on research, document analysis or report preparation — we build apps where several AI models cooperate on a task. They support daily work and clearly shorten the time of complex tasks.
AI chats on websites and stores
We deploy ready AI chats on client websites and ecommerce stores — they answer product questions, resolve typical support cases, route leads to sales. Configured for your context, not a template chat.
AI agents tailored to your processes
When a ready tool doesn't fit your process — we build an AI agent tailored to real tasks. It automates repetitive steps, connects to the systems you use, and addresses specific operational problems. Not a template — a fit.
First step
Specific scope, clear result, no commitment to further stages.
Independent assessment of where AI has the best chance to create measurable value
2–3 weeks of work that ends with a decision: where AI makes sense for you, which tools fit, how to start safely — without the risk of a costly mistake.
- Map of real use cases (3–5 priorities)
- Tool recommendation with justification
- Safe pilot framework with success criteria
- First 90-day plan
You leave with a document you can make an AI decision with — instead of listening to every vendor say their solution is the best.
We implement when the diagnosis leads to a specific step
First diagnosis and recommendation. If it leads to a specific pilot or AI implementation stage, we can lead it — ourselves, with your team or with another partner involved. The path depends on business sense, not on a pre-set scenario.
- Internal AI apps for the team
- AI chats on websites and support channels
- AI agents tailored to processes and integrations
If you'd like to first see what types of work we really deliver, below we show specific AI implementation directions that most often make business sense.
Go to AI implementations →Book a diagnostic call
Short form (~2 min) — we respond within 24h.
Thank you.
We'll respond within 24h. What's next: 30-45 min call, no sales presentation.
Prefer to book a slot yourself? See calendar.
- 11. Contact
- 22. Situation
- 33. Details
- 44. Review
Start with a few details
We only use it to contact you about this conversation
Where you are with AI and what's the priority
If none fits exactly, pick "not sure yet".
1-3 sentences is enough (min. 10 characters), we'll go deeper in the call
Stage, horizon and data sensitivity
Decision stage
Decision horizon
Data sensitivity
Last step — review and send
Only if you'd prefer a call back instead of email
We process your data solely to handle this conversation. Privacy policy.
What we've worked on in AI
We protect our clients' interests, so we don't publish detailed case studies without their explicit consent. Instead of marketing built on others' implementations, we show the types of AI situations we help with. If after working together you'd like to publicly describe the results, we'll happily do it with you.
Unclear which AI tools made sense for the team. Map of real use cases, selection criteria, definition of the first pilot.
Need to automate repetitive processes without clarity on what to implement first. Diagnosis, list of quick wins, and a short pilot on a single process.
Employees were using ChatGPT on their own, without shared rules and without certainty whether the company was really gaining anything. Diagnosis of use cases, usage rules and a first pilot on one process.
Most frequently asked
With diagnosis, not tool selection. We start by identifying processes where AI has the best chance to create measurable value — and those where it's not worth starting. Only then do we choose tools. Otherwise it's easy to buy a solution that doesn't answer any really important problem.
Depends on context. In practice we most often work with commercial models (OpenAI, Anthropic, Google), open models (Llama, Mistral, Qwen) on client infrastructure and hybrids. The choice starts from your data, regulations, scale and total cost — not from our preferences.
A frequent and justified question. Depending on data sensitivity we recommend: cloud models with DPA agreements and zero query retention, open models running inside your infrastructure, or a hybrid. Each option we compare on security, cost and operational stability.
We do both. Advisory comes first — regardless of whether implementation leads to us, your team, or another partner. We most often support implementations of AI chats, internal AI apps for the team and custom AI agents.
We define the pilot with measurable success criteria and a clear "scale / don't scale" decision at the end. Typically 4–8 weeks — depending on process complexity and data readiness. Without tying budget to an open-ended trial.
This is a scenario worth being prepared for. We define "don't scale" criteria before the start, not after. If the pilot doesn't meet the criteria, we don't scale and we say so directly — together with a recommendation on what to do instead (sometimes a different area, sometimes a different tool, sometimes a decision that the topic is not ready).
AI makes sense. Start with diagnosis.
30 minutes, no sales presentation. We point out where AI makes sense, where it doesn't and what first step is realistic.
Book a callWe respond within 24h