Courses built on your people’s real work: purchasing emails, sales quotes, admin documents. Alongside the courses we write the usage policy and keep a record of the training delivered.
AI training for companies teaches staff to use tools such as ChatGPT, Claude, Gemini and Copilot on their own tasks, to spot errors and risks and to follow data rules. Since 2 February 2025 the EU AI Act has required organisations using AI systems to take staff literacy measures, without setting a minimum level. UreTech designs hands-on courses by department, with materials and an attendance record.
What people tell us after a standard webinar.
Poems and recipes generated live impress people, but the next day nobody knows how to use it on quotes.
Without a policy, everyone decides alone what to paste into the tool.
The warehouse and the legal office need different things. One course for all bores half the room.
Nothing remains after the course, no record and no material to revisit: hard to show what was done.
Combined to fit roles and tools already in use.
What a language model is, why it gets things wrong, which data stays out, how to check an answer. Designed for all staff.
Email, summaries, Excel tables, document comparison, using the tools the company has chosen.
Proposals, customer replies, product sheets and enquiry analysis, with fact-checking before sending.
Tool selection, access management, risk assessment, when an agent or automation is needed.
Workshop on n8n and AI agents for those who build or supervise workflows.
We write the company policy with you and hand over the attendance record, materials and end-of-course test.
Article 4 of the EU AI Act has applied since 2 February 2025 (source: European Commission AI Act Service Desk). Regulation (EU) 2026/1744 of July 2026 reworded it: providers and deployers of AI systems must take measures for staff AI literacy, without a mandatory specific level, and the Commission and Member States must support them.
So there is no mandatory certificate to show. What counts is being able to show you did something proportionate to your tools and risks: a policy, targeted sessions for people who use AI, reference material and a record. That is what we hand over at the end.
Some groups have extra rules. In Italy, for instance, professionals must tell clients about AI use under Law 132/2025: if you run a firm, see the AI for professional firms page.
Before the course we gather about ten real tasks per department with managers, using anonymised documents. In class, on-site or remote, each participant works on their own case with the tool the company actually uses, whether ChatGPT, Claude, Gemini or Copilot.
Each session lasts half a day and runs in small groups, so there is time to try and get things wrong. Participants leave with a set of ready instructions for their own tasks, including what not to do. A few weeks later we hold a short follow-up: what is being used, where people got stuck, what is worth automating.
If training reveals a process worth automating, we flag it and estimate the cost; the decision is yours. For many companies the journey starts right here, before broader AI consulting.
The materials stay with the company: slides, the set of instructions for each department and a one-page sheet with the main rules, to pin up or post on the intranet. When the tools change, and they change often, we update the sheet and, if needed, propose a short session on what is new.
Compare three supplier quotes in different formats and get a table of prices, lead times and terms; write a clear reminder from the email history; summarise a long specification in the parts that matter to the warehouse.
Draft a proposal from the price list and the customer’s request, then check figures and terms against the original documents. Reply to a complaint in a firm, polite tone. Learn when AI is inventing a figure and how to spot it.
Summarise a circular, extract deadlines from a contract, prepare an internal notice. Recognise data that must never go into the tools, such as health data or payslips, and what to do if someone already pasted it.
Read a sales report with AI without blindly trusting the numbers, decide which tools to allow and who administers them, understand the costs and limits of an automation project before asking for a quote.
Every exercise ends with the same question: how do I check the result is right? That habit is what separates people who use AI well from those who give up after a week.
From the first call to the signed record.
How many people, which departments, which tools are already in use.
Modules by role, dates, on-site or remote, materials built on your cases.
Draft company policy to discuss before the courses.
Half-days in small groups, on real tasks.
Final test, attendance record, follow-up meeting a few weeks later.
Technology ecosystem
We train on the tools the company uses or is about to adopt, and on automation tools for those who build workflows.
AI agents and automations built with the models and tools that fit the case: in the cloud when it makes sense, on-premise when data must stay inside the company.
Custom AI agentsProcess automationPrivate LLM on-premiseAI consulting
Tell us how many people and which departments. We reply within one working day with a draft programme.
We will email you within one working day to book the 30 minutes. If it is urgent, message us on WhatsApp.
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Mon–Fri 9:00–12:30 and 14:00–20:00 (CET).