Managers, staff and AI leads practice on their own tasks and build habits into daily work.
Assessment at a fixed price — credited toward your pilot.
Task: replying to a customer complaint
People attend a workshop, go back to their desks and carry on as before. So we train on the tasks your team handles every day and build AI into the process straight away. When we’re done, you keep the playbooks, a library of prompts and scenarios, and people who can take AI further.
Some write prompts in personal accounts, others don’t trust AI at all. There are no shared rules and no measurable results.
Contracts, customer lists and financial reports get pasted into services whose terms nobody has checked.
The licenses are there, yet only a handful of people use them regularly. There was a workshop, and the processes stayed the same.
Article 4 of the EU AI Act calls for measures to build AI literacy among staff who work with AI. Training with records of who learned what helps you show that those measures were taken.
Art. 4. Since 2 February 2025, the EU AI Act has required providers and deployers of AI systems within its scope to take measures to develop their staff's AI literacy; since 27 July 2026, the amended wording no longer requires guaranteeing a specific level for each individual.
Source: Regulation (EU) 2024/1689, Art. 4, as amended by Regulation (EU) 2026/1744 (Digital Omnibus on AI)
Scope agreed after the consultation
Where AI will pay off in your business and where it creates risk. Which rules to introduce, how to assign tasks to your team and AI tools, and how to accept the results.
Working with AI assistants on each person’s own tasks rather than generic examples. How to check an answer against its source and which data must never go into AI.
One or two people in your company who take AI forward after we leave. They learn to write scenarios and playbooks, check answer quality and keep the scenario library current.
We find out who on your team already uses AI, which tasks take up the most time and whether you work in the EU market.
The roles and tasks we’ll train on are agreed.
We gather real tasks for each role, record how they are done today and check which data is safe to use in training.
Managers have signed off on the tasks, and the training data is safe to use.
Managers, staff and in-house AI leads work through their own tracks on their own tasks. Every scenario is tried in real work right away.
Every participant has completed their tasks with AI and checked the result against the source.
In-house AI leads guide the team through the embedding plan, while we check quality and fix playbooks that didn’t work.
The new ways of working are used without our involvement.
We update the playbooks for new tools and tasks and help your AI leads with new scenarios.
We continue only if your AI leads need the help.
We find out who on your team already uses AI, which tasks take up the most time and whether you work in the EU market.
The roles and tasks we’ll train on are agreed.
We gather real tasks for each role, record how they are done today and check which data is safe to use in training.
Managers have signed off on the tasks, and the training data is safe to use.
Managers, staff and in-house AI leads work through their own tracks on their own tasks. Every scenario is tried in real work right away.
Every participant has completed their tasks with AI and checked the result against the source.
In-house AI leads guide the team through the embedding plan, while we check quality and fix playbooks that didn’t work.
The new ways of working are used without our involvement.
We update the playbooks for new tools and tasks and help your AI leads with new scenarios.
We continue only if your AI leads need the help.
Every track ends with a change in how a specific task gets done. Otherwise training is just an event that leaves nothing behind.
We train on your company’s emails, reports and documents. That’s why scenarios from the sessions go straight into daily work.
What can go into AI and what can’t, and how to handle personal data and trade secrets. The rules match your AI use policy.
In-house AI leads carry the work forward once we’re done. You don’t need an outside trainer for every new scenario.
Step-by-step guides for the key tasks of each role: what to give AI, how to check the result and when to ask a colleague.
Tested scenarios for your tasks, grouped by role and process.
Which tools are approved, which data must not be shared and who is accountable for the output.
What changes in your processes after training, who owns each change and how we check the effect.
One or two people who know your scenarios and can train new colleagues.
Who learned what, and when. For companies in the EU market, this is part of the evidence of AI literacy measures.
In progress
No figures, because the effect differs for each owner.
In a free 60-minute consultation, we’ll work out which roles need training, which tasks to train on and who could become your in-house AI lead.
Book a consultationIt depends on the number of roles and tasks and on how many people already use AI. We agree the scope and schedule after the consultation and once we’ve collected your tasks.
A course teaches on generic examples. We train on your company’s tasks, with your data and rules in mind, and build the scenarios into your processes afterwards.
It’s one or two of your employees who are keen on AI and trusted by the team. We help you choose them during the consultation and prepare them in a dedicated track.
Before the sessions, we check which data can be used and in which tools. Personal data and trade secrets are masked or replaced, and the rules are written into your AI use policy.
The ones already approved in your company, or ones we choose together based on the data your team will work with. We write scenarios so they can move to another tool if needed.
For companies operating in the EU market, Article 4 of the EU AI Act calls for measures to build staff AI literacy. Training, an AI use policy and records of who learned what help you demonstrate those measures. Whether the requirement applies to your company is worth confirming with a lawyer.
That’s what the embedding plan and in-house AI leads are for. We check whether the new ways of working are actually used in your processes and fix the playbooks where they didn’t take hold.
Send a message to our team to find out how we can help you
Andrii
Head of AI for Business
We reply within 1 business day
