Your team already uses AI, just without boundaries or a trace.
Client data goes into random tools, and when a client or lawyer asks who made the decision and on what basis, there is nothing to answer with.
Training is led by engineers with AI systems in production, not career trainers. Instead of trend slides we work on your real process: context, tool choice, boundaries, verification, and trace.
- You talk to an engineer, not a salesperson.
- 30 minutes, no sales presentation.
- No prep or homework on your side.
In short
- Price
- from €1 200 / day nettypically €1 200–1 500 per day; quoted per scope after one call
- Format
- 1 or 2 days, online or on-sitea workshop group of up to ~15 people, split into several groups in a larger company
- Who teaches
- Engineers with systems in productionthe program comes from production deployments and work on your process
- For whom
- Boards and teams that use AI or are about to startfor teams that need a shared AI working standard on real tasks
Engineers who deploy, not trainers.
The AI course someone on the team has already sat through usually ends in slides and prompt tricks. Here you are taught by the engineers who build and run those same systems in production for Polish companies.
1:1 course participants
People we've trained one-on-one.
A team goes through the same working standard, just in a group.
Kuba Koziej CEO & co-founder of MoreGrowth, board member at Natu.Care
I went from barely shipping a frontend to building full applications with a backend and a database, and deploying them safely instead of hoping they would hold. We worked through the parts I kept tripping on: Docker, the coding agents and tools, and when it is worth reaching for skills, MCPs and connectors. It stayed practical the whole way, on what I actually wanted to build.
Hlib Utkin
Public administration
A large stream of documents passes my desk every week. I now review, draft and prepare them with Claude in a fraction of the time, and research that used to eat an afternoon takes minutes. It is wired into the services I already work in, so the documents reach me instead of me hunting for them.
Ivan Chepurin Senior Software Engineer, Immutable
I came in using coding agents ad hoc and left orchestrating them: loops, an agent kanban, a full development cycle that ships. What stayed with me is running context and cost on purpose, and building my own harnesses instead of waiting for a tool to ship one. It changed how I work day to day.
Oleksandr Usyk Co-founder & Art director, jakotako
I run a design studio, not an engineering team, and I still left with something working. We built an agent loop that pulls in leads and keeps an eye on the competition, and I put my own site together with Claude. It was hands-on, on my real work, not a talk about AI.
What your team learns.
Each module pairs hands-on work with Claude and ChatGPT Work with the discipline that makes it trustworthy in a real process. We fit the scope to the team and the goal.
Theory · the foundation
How the models actually work and where they fail, on neutral examples before we work on your tasks.
01Foundations · ModelAI foundations: how models work and where they fail
How AI models actually work and where they fail, before we touch your data: where errors and the only-plausible answer come from.
- 02Claude · Context
Claude Cowork and ChatGPT Work: context, task and working together
How to give the model context and a task, how to run multi-hour work on one document, and when to start the conversation again.
Practice · the drills
Concrete drills on your process: tool, boundaries, escalation, trace.
03Documents · AnalysisClaude and ChatGPT in the team's daily work
Documents, files, offers, analyses, correspondence: your team's real, everyday tasks moved onto the model, with verification of the result.
- 04Tools · Boundaries
Agentic workflow: prompt, automation, or agent
When a conversation with the model is enough, when a repeatable workflow is better, and when an agent should use tools, and where a human must approve the result.
- 05GDPR · Escalation
Data safety and oversight
GDPR-compliant work in Anthropic and OpenAI tools: what can go in, what cannot, which data settings to turn on, where the model must stop, and how to set escalation.
- 06Trace · AI Act
Trace, quality, and AI Act duties
How to leave a decision trace, measure the quality of work with AI, and how training supports the literacy duty in Article 4.
Three groups, three scopes.
Who will be in the room: the board deciding where AI makes sense, or the team that has to use it from tomorrow? Each group needs a different conversation, so we fit the scope to who is in front of us.
Boards and decision-makers
You decide where AI enters the company and at what cost, and every vendor's offer sounds the same.
- Where AI and agents are an advantage, and where they are a risk
- How to read an AI vendor's offer and what to demand in the contract
- What the AI Act means for a company deploying AI
- A short session focused on operational decisions
Operations teams
Your people already reach for AI on the job, each in their own way and with no rules.
- Hands-on work with Claude and ChatGPT on your real tasks and data
- Context, boundaries, and catching the plausible-but-wrong answer
- What can go into the model and what can't, data-handling rules
- Materials and a working standard that stays with the team
Team leads
You have to roll AI out in the team so it sticks and doesn't fracture into 20 styles.
- How to spread AI work across the whole team
- Shared rules and a working standard across the whole team
- What stays in the team after the training, and how to keep it
- Keeping quality and a trace in daily work
Formats and prices
from €1 200
per day · net
One day or two. A per-day price, stated up front.
The same formats, online or on site: for one workshop group (up to ~15 people) or several groups in a larger company, with one shared working standard. The ~15 is a group size, not a cap on the training. The final quote depends on scope, headcount, and the number of groups.
1 day · introduction
Boards, decision-makers, teams starting with AI
One day on your own examples: what AI and agents do well, where the boundaries are, and which data-handling rules to adopt from tomorrow.
from €1 200
per day · net
2 days · workshop on your process
Teams that will use AI daily
Day one: hands-on work with Claude on your tasks. Day two: boundaries, escalation, trace, and a working standard that stays with the team.
from €1 200
per day · net
The day rate typically falls between €1 200 and €1 500 net; final quote per scope after one call. The program, attendance list and materials stay with you.
Who this is for, and who it isn't.
We described above which group you fit; this is about readiness. If the second column describes your case, another provider usually fits better, and we'll say so before the quote.
Ready if
- You have a real process on the table, beyond curiosity
- Your team is about to reach for AI on the job and needs boundaries first
- You care about a decision trace and the Art. 4 AI Act literacy duty
- The session should use your own data instead of generic examples
- Working with AI should become a habit for the whole team, beyond a couple of enthusiasts
Probably not if
- You want a trend lecture with no work on your own tasks
- You only need prompt tricks and a certificate for the wall
- You want cheap off-the-shelf training with no fit to your process
- You expect a guaranteed result or an official endorsement from the model vendor
- You are a technical founder who wants to build software with agents: see the AI-Native course
AI Act · Art. 4
AI skills that stay with your team.
Art. 4 of the AI Act has applied since 2 February 2025 and requires companies deploying AI to take measures that ensure a sufficient level of AI literacy in the people working with it. The provision does not prescribe a form: a closed training with a program, attendance list and named certificates is one recognized way to meet it. This is not legal advice.
EU AI Act 2024/1689, Art. 4 (EUR-Lex) →From a call to a program that stays.
Training starts with one conversation about the team and the goal. We run the rest in a clear order.
- 01A call about the team, process and goal: we set the group, format and scope.
- 02You get a quote and a program tailored to your tasks and data.
- 03We run the training online or on site, on real examples.
- 04You keep the materials, attendance list, named certificates of completion and a working standard that helps document AI literacy under Art. 4.
Training questions
How soon can you run it?
Usually within a few weeks of the first call: that's the time to set the group and scope and tailor the program to your tasks and data. We'll try to fit an urgent date if the calendar allows.How many people can take part?
There is no upper cap: as many people from the company take part as needed. One workshop group runs up to ~15 people, because above that a workshop stops being hands-on work and becomes a lecture. Larger teams are split into groups and priced in one offer.Online or on site?
Both. Operator workshops work best on site at your company; board sessions often run online. Logistics and travel are included in the quote.Do we need Claude or ChatGPT accounts and licenses?
We settle participant access to Claude or ChatGPT during scoping: if the company doesn't have licenses yet, we'll advise which plan makes sense for the team. We don't sell licenses and don't require a purchase before the training.Why engineers?
Because the program comes from deployments. The same people build and run AI systems working in Polish companies: in the training they show the working standard they use in production themselves.How do you know it sticks, instead of slipping back to old habits by Monday?
The usual end to AI training is enthusiasm on Friday and old habits on Monday. That's why day two gives shared rules and a working standard written down on your own tasks, plus materials and a list of decisions that stay with you. One day narrows the gap; what you do with it next is up to you, but you leave with a ready way of working.We're a small team without much technical depth. Is this for us?
Yes. This is training for people who work with documents, emails and data. A small team runs as one group and a shorter format. If someone on your side wants to build software with agents, that's a different course, and we'll say so plainly.
Tell us who we're training and we'll send you the program and the quote.
- 30 minutes with the engineer who would build it, not a salesperson.
- A review of the processes that cost you the most time and money.
- A written summary: what to automate, in what order, with cost ranges.
Times are shown in your own time zone. We work with clients across time zones.
No sales deck and no obligations. If automation doesn't make sense, we'll write that too.
from €1 200/day net · quoted per scope · taught by engineers with systems in production