As of: 23 September 2026 · Reading time: 4 min
Key takeaways
- AI training for executives: What managers need to know about artificial intelligence.
- Strategic competence for digital transformation.
AI training for executives: What managers need to know about artificial intelligence. Strategic competence for digital transformation.
“The best AI training is not theory-only—it lets participants implement their own use cases immediately.”
– Björn Groenewold, Managing Director, Groenewold IT Solutions
The AI revolution introduces new challenges to leaders. It is no longer enough to delegate the technology to the IT department.
Managers need to understand how AI works, what strategic options it offers and how it is used responsibly.
This article shows what AI competencies executives need today and how they can build them.
Why AI competence is indispensable for executives
AI training for executives: What managers need to know about artificial intelligence.
For AI training for executives, see Cost Calculator: AI Development und Discover solutions on our website for rollout paths and planning.
The introduction of AI is a strategic decision affecting the entire company. Executives who do not understand the basics cannot make informed decisions or effectively lead their teams.
More. The EU AI Act explicitly calls for companies to ensure sufficient AI competence – and this ownership ultimately lies with the management.
"In five years, every manager will need AI expertise – just as every manager needs to master Excel today."
The 6 core competencies for AI-affine executives
1. Strategic understanding
Recognize where AI can create competitive benefits and how it is integrated into the corporate strategy.
2. Basic technical knowledge
Understand how AI systems work without having to program themselves. knowledge of the options and limits.
3. Ethical verdictability
Can assess which AI applications are ethically acceptable and which risks exist.
#4. Change Leadership
Lead teams through the AI transformation, address fears and awaken enthusiasm.
5. Data competence
Understand what role data play for AI and how data quality influences the results.
6. Regulatory knowledge
Knowledge of relevant regulations such as EU AI Act, GDPR and industry-specific regulations.
What managers do NOT need to know
Just as important as what managers should know is what they don't need to know:
Program: You don't have to write a code
Mathematical details: Understanding algorithms in detail is not needed
Technical rollout: This is the task of experts
Executives need a conceptual understanding, no technical expertise. It is about asking the right questions and making informed decisions.
Recommended training formats for executives
Executive Briefings (2-4 hours)
Compact overview events that convey the most important concepts and strategic implications. Ideal for entry and awareness.
Workshop series (more half days)
Deep sessions on specific topics such as AI strategy, ethics or change management. Enable practical exercises and discussions.
Peer learning groups
Short: Exchange with other executives on experiences and best practices.
Exchange with other executives on experiences and best practices. Especially valuable for practical insights.
1:1 Executive coaching
Custom coaching for C-level executives on di
References and further reading
The following separate references complement the topics in this article:
- Bitkom – German digital industry association.
- German Federal Office for Information Security (BSI).
- European Commission – Digital strategy.
- MDN Web Docs (Mozilla)
- W3C – World Wide Web Consortium.
"APIs are the backbone of modern systems; stabilise contracts early or pay twice in integration work later."
— Björn Groenewold, Managing Director, Groenewold IT Solutions
Frequently Asked Questions (FAQ)
What is this article about: “AI training for executives”?
Here we cover AI training for executives — focused on architecture, process, and business outcomes.
In short: AI training for executives: What managers need to know about artificial intelligence. Strategic competence for digital transformation.
Who benefits most from the content described here?
Typical readers are business and IT leaders in AI training who want to secure quality, security, and ease of upkeep over the long term.
How does this topic fit into an IT or digital strategy?
In a digital strategy, prioritize stable core processes first, then extensions. See also professional software development and consulting.
For multi-system landscapes, IT consulting and architecture helps align vendors and internal teams.
What are sensible next steps if we need support?
If you need support with design, delivery, or modernization: schedule an appointment or outline your project via contact.
About the author

Managing Director of Groenewold IT Solutions GmbH and Hyperspace GmbH
Since 2009 Björn Groenewold has been developing software solutions for the mid-market. He is Managing Director of Groenewold IT Solutions GmbH (founded 2010) and Hyperspace GmbH. As founder of Groenewold IT Solutions he has successfully supported more than 250 projects – from legacy modernisation to AI integration.
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Practical next steps after AI training for executives
AI training for executives addresses a practical choice for product and IT teams. Start with one clear goal: turn a useful AI idea into a governed process with clear data and risk boundaries.
Check the current process, the data involved, and the result users need. Then record the main risks and define a small first step. This keeps the decision easy to review and gives your team a shared basis.
For the EU AI Act timeline, risk classes and GPAI obligations in practice, see our pillar guide EU AI Act for mid-sized companies.
For implementation support, our AI development for business connects the article's guidance with architecture, delivery, and stable operations. Engineering and project ownership stay with our team in Leer, Germany.
This post belongs to AI training. Browse the related AI training articles or use the English software blog for other topics.
When budget is the next question, the software cost calculators provide planning ranges. The IT glossary explains key terms, while in-depth technology guides cover wider decisions.
If the topic affects a live project, book a technical consultation or send the context through our project contact form. We usually reply within one working day.
