The AI driving licence for your team
AI driving licence for your team, guided practice on a real case instead of a theory lesson, for a consistent skill level across the team.
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You do not earn a driving licence at an overhead projector, but behind the wheel. The AI driving licence builds practical skill the same way. Your team drives the AI tools on a real case from your own operation, with guidance, until everyone handles them confidently. The result is not a theory sheet, but a self-built prototype plus a documented competence record. We plan scope, challenges, roles, data, tool access and schedule together so your format can be ready to start within a week.
An AI driving licence is a practical competence record that confirms a person can confidently operate AI tools. At Corporathon, this hands-on practice happens on a real use case, so every participant does not just know the tools, but masters them, evidenced by a prototype and a documented competence measure.
The problem the AI driving licence solves
Many companies gave their people an AI theory lesson and are surprised that nobody drives off afterwards. The reason is the same as with a real driving licence. Anyone who has only read the highway code does not dare take the motorway. Four concrete gaps remain open after pure theory.
- No muscle memory. Seeing a tool once in a webinar does not build confidence. Only repeated use on a real case steadies the hand.
- No error routine. When driving, you learn what to do when something goes wrong. Without guided practice, nobody knows how to unblock a prompt or fix a workflow.
- No consistent level. Part of the team is far ahead, the rest does not dare. Without a shared way of working, collaboration breaks at the handovers.
- No evidence. HR cannot prove who is actually road-ready. An attendance list is not a driving licence.
The AI driving licence solves this by having every participant sit behind the wheel themselves and drive under supervision until it feels natural.
What the AI driving licence covers, specifically
This is not a developer course. It is guided practical training for business teams who cannot code and do not need to. Participants work with Cursor, Lovable, n8n, Gamma, Figma Make, Claude Code and custom GPTs on their own data. Facilitation is the driving instructor alongside, showing the next move and stepping in at the right moment.
A run has four building blocks that build on each other:
- 1Choosing the route. The driving-licence goal becomes a real, tightly scoped challenge with a named user and a desired output, for example "turn 40 weekly proposal PDFs automatically into a comparison table".
- 2Driving school on the tool. Each group learns exactly the tools its route needs, starting with the basic moves.
- 3Guided practice. The teams build themselves, we sit alongside, unblock issues and show the next step.
- 4Driving test and handoff. Each team shows its result, names open assumptions and hands it to an owner. In parallel, the competence record is created for each participant.
Benefits and goals
The goal is not a certificate on the wall. The goal is that everyone on the team confidently operates the tools on their own after the format.
- Practical skill that emerged on a real work case and therefore stays.
- A working artefact that belongs to you and keeps running, instead of slides.
- A consistent competence level across the team, so handovers do not break.
- A documented AI driving licence per person as a building block for Article 4 of the EU AI Act.
Who it fits, and who it does not
| Good fit when | Not the best fit when |
|---|---|
| everyone on the team should be able to operate the tools independently | a small group of experts is enough and the rest just watches |
| there is a real, recurring use case to practise on | only abstract AI awareness is wanted |
| data and tool access can generally be approved | real data must never be touched for legal reasons under any circumstances |
| HR needs a provable competence record per person | a plain attendance confirmation without practice is enough |
Services and deliverables
- Upfront scoping with route choice and challenge scope per group.
- A curated tool stack per challenge, including access.
- Guided practice throughout, with a driving instructor alongside.
- At least one working prototype per team.
- A handoff document per prototype with owner, access, open risks and next step.
- The AI driving licence as a documented competence measure per participant.
Formats as offer cards
Spark
- What you get: 1 day, first practical driving on one case, tool workshop, handoff document, AI driving licence record.
- You work with: one Corporathon facilitator, the right stack for one challenge (e.g. n8n plus a custom GPT).
- Ideal for: up to 10 participants, a team that wants to get road-ready quickly.
- Your investment: on request.
Ignite (recommended)
- What you get: 2 days, several challenges in parallel, several prototypes, a handoff per team, a consistent level across the area.
- You work with: several facilitators, a curated stack per challenge (Lovable, n8n, Cursor, Gamma, Claude Code).
- Ideal for: 10 to 15 participants, a department that wants to become road-ready together.
- Your investment: on request.
Blaze
- What you get: 3 to 5 days, several teams, deeper, production-close prototypes, handoff with a clear implementation path.
- You work with: a facilitator team, the full tool stack, an optional link to a follow-on implementation sprint.
- Ideal for: 15+ participants, several departments with a company-wide competence goal.
- Your investment: on request.
Teams from Adobe, YOYABA, Onventis and NavVis have worked with us. Prices on request for now; the scope depends on team size, number of challenges and desired depth of handoff.
AI driving licence vs. classic training
| Criterion | Classic AI training | Corporathon AI driving licence |
|---|---|---|
| Mode | Theory lesson, slides | guided practice on a real case |
| Evidence | attendance | a competence record per person with a prototype |
| Confidence in daily work | unclear without practice | everyone operates the tools independently |
| Team level | uneven | a consistent way of working, clean handovers |
| Proof of ROI | hardly provable | a tangible artefact as the starting point for your own measurement |
| Time to first result | weeks to months | ready to start in 1 week, result depending on scope |
The table compares ways of working, not providers, and deliberately contains no invented percentages.
How the AI driving licence can pay off (a model, not a customer figure)
The benefit shows up where only a few used the tools before, and afterwards the whole team drives. The model has three inputs: how many people barely used AI before, how much time a recurring task costs per person, and what share a confidently operated tool takes off. Formula: *newly road-ready people × hours saved per week × hourly rate × 45 weeks − one-off cost*. A worked example as a model. If eight previously hesitant people become road-ready, each saving two hours per week at a rate of 60 euros, that is 8 × 2 × 60 × 45, so 43,200 euros a year in freed-up capacity. We do exactly this calculation in the discovery call with your real numbers.
Interactive competence grid: /en/ki-fuehrerschein/tools/kompetenzraster/.
Social proof
Teams from Adobe, YOYABA, Onventis and NavVis have worked with us. We show their names and logos as references and, where approved, workshop photos and public feedback. We deliberately publish concrete figures on adoption or time saved only once the source, method and period are documented and approved. Everything at /en/case-studies.
The process as an animated timeline, in 1 week
| # | Step | Owner | Output |
|---|---|---|---|
| 1 | Intro call | Corporathon + sponsor | clarified goal, rough scope, date |
| 2 | Tools and challenges call | Corporathon + team leads | scoped challenges, tool choice per challenge |
| 3 | Finalising information and data | Client (IT, data protection) | approved data access, documented limits |
| 4 | Hackathon preparation | Corporathon | prepared environments, access, schedule |
| 5 | Tool workshop | Corporathon + teams | teams can operate their stack |
| 6 | Hackathon sprint | Teams (guided) | working prototypes |
| 7 | Result pitches and handoff | Teams + owner | shown results, handoff documents, driving licence records |
Your Corporathon, in just 1 week.
30-minute discovery call: clarify the need, pick a challenge, set the schedule.
The calendar is embedded via Cal.com and only loads external content once you ask for it.
Frequently asked questions
Short answers to the questions that come up most before booking.
It is a practical competence record that Corporathon issues, not a state-recognised driving licence in a legal sense. It proves that a person confidently operates AI tools, documented by a self-built prototype.
No. Business teams drive the tools without classic programming. We choose the stack so everyone becomes road-ready without prior knowledge, with a driving instructor alongside.
Yes. The AI driving licence is documented per participant. It rests on guided practice on a real case, not just attendance.
One to five days depending on the format. The lead-in with intro call, tools call, data approval and preparation fits into the same week, so you can be ready to start within a week.
We clarify data access and limits with your IT and data protection team before the start. Only what is approved gets used, and the limits are documented.
It can document a practical AI competence measure and so contribute to Article 4. It is not an official certificate and does not guarantee automatic compliance. The company must assess adequacy by role and risk.