Many AI training programmes start with operation: which button, prompt or model? That is useful, but only the first level for leaders. Their real task is to create a responsible framework in which people can work better with AI.
The 2026 Bitkom study describes limited workplace AI training, although AI is already part of many jobs. Leaders need exercises that help them check AI use and organise it within their team. Read the Bitkom study
4 learning goals for leaders
Check whether a course lets you practise these 4 tasks:
- Identify tasks: Which team tasks are repetitive, text-heavy, important for decisions or prone to errors, making them good learning opportunities?
- Assess quality: When is an AI result sufficient, and when does it need human review, sources or a different process?
- Set boundaries: Which data, tools and approvals are permitted? What should never go into an open chat?
- Enable learning: How do successful individual examples become repeatable team routines that everyone can use?
Which AI training suits you?
Choose a format based on your task and the support you need.
| Your starting point | Suitable format |
|---|---|
| You want to learn the basics at your own pace. | A self-paced course with exercises and a way to ask questions. |
| You need feedback on your own decisions and workflows. | Personal AI coaching with recurring meetings and concrete outputs from your work. |
| Your team needs shared rules and an agreed pilot. | A team workshop followed by practice, with a named person responsible. |
Before booking, ask about exercises, feedback and the time required. Ask to see the result you should be able to create and check yourself by the end.
Seminar, Academy or AI coaching: duration and cost
A seminar can provide a shared introduction at a fixed time. A self-paced course supports repeated practice. If you need feedback on your own tasks, compare options with personal guidance. Also check which materials, question sessions and practice phases are included.
| Workaiout option | Duration and guidance | Total price plus applicable taxes |
|---|---|---|
| Academy | 12 months of access to learning videos, exercises and the community, with one live Q&A per week. Learn at your own pace. | CHF 1,050, paid upfront or in 12 instalments of CHF 87.50. |
| Personal 1:1 coaching | 8 personal 60-minute sessions over 4 months, including 12 months of Academy and community access with weekly live Q&A. | Introductory price CHF 2,500, paid in 4 instalments of CHF 625. Regular total price CHF 3,500. |
Offers are for businesses only. All amounts are in CHF, plus applicable taxes. The Academy is already included in coaching and is not charged separately. Additional AI tool licences may be needed depending on the application. View the included services and payment terms.
What should you be able to produce yourself?
Before starting training, choose an output you can assess, such as a decision brief based on approved documents. Record how you currently work before the first attempt. After practising, compare the same type of task.
- Completeness: are all agreed questions answered, with missing information clearly identified?
- Traceability: can you link statements to their original sources?
- Effort: record preparation, task execution and human review separately.
- Transfer: can you repeat the workflow with new documents and explain its limits?
Create your own AI training plan · Download the fillable training plan
Workaiout customer Marvin Nitschke describes his experience of personal guidance in his published review. Read Marvin’s experience.
Why rolling out tools is rarely enough
Buying licences creates access. Also clarify who uses each tool, how results are reviewed and which questions remain open in the team. This turns access to tools into a concrete learning task.
A useful training approach begins with a concrete work task: how do we prepare client briefings? How do we structure knowledge work? How do we check a summary? How do we handle sensitive content? The learning cycle then becomes small, observable and repeatable.
A practical framework for the first 30 days
- Choose one working hypothesis: Choose one recurring task and define how you will recognise a good result.
- Set safe tool boundaries: Make the approved environment, permitted data and human responsibility explicit.
- Practise with a small group: A small pilot team or an accountable owner provides better insights than a blanket rollout.
- Record the evidence: Compare time spent, quality, error types and feedback from the team.
- Decide: Standardise, adapt or stop. A good pilot may also show that a use case is not worthwhile.
Where 1:1 coaching makes a difference
Leaders often need to improve their own work, guide their team and speak with IT, privacy or business teams at the same time. A 1:1 coaching conversation can connect these levels without turning it into a large transformation project.
In Workaiout training, we discuss your task, review criteria and data rules. You then practise the workflow and record which steps you and your team can repeat independently.
If the question is AI literacy under the EU AI Act, the matching guide is Article 4. A programme for the whole company is described in AI training for companies.
A question for your next leadership meeting
Ask: “Which work would we deliberately organise differently if we could use AI well and safely?” The answer makes technology a leadership and learning question. That is where lasting progress begins.