Role-specific programmes, not generalist training
Three programmes with their own curricula: AI for agencies, AI for SMEs and AI for developers. Each works with the tools, tasks and quality standards of that role.
AI workshops & team enablement
We don't teach a tool, we teach your work. Across three programmes — for agencies, for SMEs and for engineering teams — participants build on their own tasks during the workshop and leave with finished prompts, workflows and playbooks. On-site in Zurich, across Switzerland, or remote.
The usual pattern: half a day of tool demos, a room full of impressed faces, a few notes — and two weeks later the team works exactly as before. The reason is rarely a lack of interest. It's the missing link to real work: an accountant, a creative director and a backend engineer need completely different AI skills, yet all sit through the same generalist session. On top of that come the questions nobody answers — what data may I enter, what can I rely on, who checks the output? We invert it: role-specific programmes, real tasks from your business, and artefacts at the end that keep running in daily work.
Three programmes with their own curricula: AI for agencies, AI for SMEs and AI for developers. Each works with the tools, tasks and quality standards of that role.
The shared foundation before every programme: how language models work, where they're reliable and where they aren't, how a good prompt is structured — and which data belongs in which tool.
revDSG, the EU AI Act and your own rules translated into practice: approval paths, documentation and a lean AI policy the team understands and actually follows.
Every workshop produces something usable: a prompt library, two to four working workflows, checklists and a playbook — all tailored to your tools and your tone of voice.
Short interviews and a look at your tools: what costs the most time today, where is the team, which internal rules apply? That produces the topic list.
We build the workshop around your actual cases — your briefs, your quotes, your code. No demo datasets, no invented examples.
Short inputs, then work on your own screen. Around 70 % of the time is practice, and whatever gets built is saved as a template right away.
A playbook, internal points of contact and a review after 30 days: what's running, what's stuck, what's next — so the workshop turns into a way of working.
Every role knows what to use AI for — and what deliberately not to use it for.
Reusable prompts and workflows the team adapts and extends on its own.
Clear guardrails: which data goes into which tool, and who approves.
Measurable relief on the tasks that used to cost the most time.
Internal points of contact who can onboard new colleagues themselves.
Agencies and marketing teams start with «AI for agencies», operational teams in sales, administration, service and leadership with «AI for SMEs», software and product teams with «AI for developers». For mixed groups we run a shared fundamentals block and role-specific deep dives in the afternoon. We settle this in the intro call based on your actual tasks.
A fundamentals workshop takes half a day, a full programme a whole day. For larger teams or several departments we work in series of two to four sessions across a few weeks — that leaves room to practise in between, which improves transfer considerably.
Both. We train on-site in Zurich and across Switzerland, or remotely by video call. On-site works better for mixed groups and spontaneous questions; remote is more practical for distributed teams and series. The hands-on parts run the same way in both formats.
No. The fundamentals assume none, and we check the starting level beforehand with a short survey. Advanced participants get harder exercises in the same workshop so nobody is under-challenged — in engineering teams the spread is usually especially wide.
Preferably the ones you already have — typically ChatGPT, Claude, Microsoft Copilot or Gemini, plus your automation and CRM tools. Where something is missing we show alternatives and explain what switching would cost. We don't resell licences and aren't tied to any vendor.
It's a fixed part of every programme. We work out which data may go into which tool, how that sits with the revised Swiss Data Protection Act (revDSG), and what the AI literacy obligation in Article 4 of the EU AI Act means for your company. On request a lean internal AI policy comes out of it.
Yes, if you want us to. Many teams implement most of it themselves after the workshop and only bring us in for the hard parts — integrations, agents, data models. The workshop is deliberately built to stand on its own without a follow-up project.