Claude for everyday team work
Chat, Projects with company knowledge, Cowork for working on files, and connectors to email or drive. For teams that write, analyse and answer customers.
AI training
Buying AI licences takes five minutes. Getting your team to use them in daily work, not just to polish emails, is the hard part. We train on the tasks your people do every week.
In most companies it goes the same way: someone buys ChatGPT or Claude for the team, two people start using it, and everyone else opens it once a week. The tool isn't the problem. The problem is that nobody showed how to apply it to real tasks: a quote, a report, a reply to a complaint, a contract review. That is why we don't lecture about what artificial intelligence is. We work on what your team does every week, and we finish when every participant has done it on their own.
Pick a team, a tool and a format. We assemble the programme from the same tracks and steps described on this page.
Your programme
A short call
What the team does, which tools it uses and where it loses the most time. We prepare the examples from that.
Claude for everyday team work
Chat, Projects with company knowledge, Cowork for working on files, and connectors. Exercises on your own tasks: quotes, emails, meeting notes, summaries, customer research.
Live workshop, online
Fewer slides, more hands-on work. Every participant goes through the tasks themselves, and we step in wherever they get stuck.
Rules for using AI
Which data may go into AI tools and which may not, and how to put that in writing. This is also part of the measures expected under Article 4 of the EU AI Act.
You get a written quote after a short call, before you sign anything.
Ask about trainingWe ask what the team does, which tools it uses and where it loses the most time. That tells us which track to choose and which examples to prepare.
Instead of generic examples from the internet, we prepare exercises from your daily work: a quote, a report, a reply to a customer, a document review. Sensitive data is replaced with sample data.
Online or at your office. Fewer slides, more hands-on work. Every participant goes through the tasks themselves, and we step in wherever they get stuck.
We cover which data may go into AI tools and which may not, and how to put that in writing in your company. This is also part of the measures expected under Article 4 of the EU AI Act.
Chat, Projects with company knowledge, Cowork for working on files, and connectors to email or drive. For teams that write, analyse and answer customers.
For developers and technical staff: working with code, the repository and the terminal, security rules, and how to fit Claude Code into the way the team already works.
ChatGPT Business in practice: projects, custom GPTs, company knowledge, Deep Research and agent mode. Plus the rules on what never goes into the chat.
For people who want to go a step beyond chat. Together we build a simple automation or agent on one of your company's processes, from idea to a working version.
One programme for the whole company rarely works. A salesperson needs something different from an accountant, and a developer needs something different from both.
Quotes, emails, meeting notes, summaries, customer research. The fastest return, because these tasks are the most frequent and the most repetitive.
Reviewing contracts and documents, comparisons, summaries, letters. Rules matter most here: what may be pasted into a tool and what may not.
Claude Code and agentic work in the repository. A separate track, because the questions and risks are entirely different from those in sales.
Article 4 of the EU AI Act, in force since 2 February 2025, concerns AI literacy among the people in a company who use AI systems. After the Digital Omnibus amendment of July 2026, it speaks of taking measures that support this literacy rather than ensuring a specific level. What companies are expected to do has stayed the same: prepare their people and be able to show what was done. A training session with a programme, a list of participants and written rules for using AI is the simplest way to document it.
By default we run training live online. It works well for teams spread across several locations, and dates are easier to fit. On request we come to your office. An on-site workshop works especially well when a team is starting from zero and needs someone to sit next to them and show them.
If your company already pays for one of them, we train on what you have. If you are still choosing, we help you decide based on what the team will use it for, what it needs to connect to and what data it will handle. Both tools cost about the same and both handle office work well. The differences show up in the details, which we go through before the training.
The price depends on the number of participants, the number of tracks, the format (online or on-site) and how many examples we prepare for your processes. You get a written quote after a short call, before you sign anything.
No. Tracks for office teams start from the basics and move quickly to working on real tasks. If the group has people at different levels, we discuss it before the training and split the exercises so nobody gets bored or lost.
Ideally yes, so participants work straight away in the tool they will actually use. If you are still choosing, we help you pick a plan and set up the team workspace before the training.
On your types of tasks, but without sensitive data. We prepare examples that look like your quotes, reports or emails, just without customer data. Participants learn on something familiar, and nothing confidential ends up in the exercises.
Yes. Questions from real work come up after the training, and those are the most valuable ones. The scope of post-training support is set out in the quote.
Yes, that is our main work. If the training reveals a process that is better automated than done by hand with a chat, we will say so plainly and can build it.
A short call about who needs training and on what. You come away with a proposed programme and a written quote.
Ask about training