Leadership and strategy
AI course for executives and managers
Decide with judgement where to apply AI, how much to invest and how to lead the change.
Artificial intelligence is no longer an IT topic: it is a business decision. But between spectacular announcements and vendors promising everything, leadership teams struggle to separate what really works today from what is still a bet. This course gives you the judgement to decide.
It is a practical, jargon-free session. We see AI working on real tasks, learn to prioritise use cases by impact and ease, run the numbers before investing and set clear ground rules (including the EU AI Act obligations) without holding back the teams that want to move forward.
The outcome is not just another slide deck: each participant takes away a roadmap with prioritised cases they can bring to their next leadership meeting.
An AI programme for leadership
This artificial intelligence training for executives works as a programme for the managing director and the leadership team: a common language about AI, shared criteria for deciding and a first plan. It can be complemented with the AI business case and ROI course, the change management and adoption course or AI consulting to put the roadmap into practice.
What you will learn
- Tell apart what generative AI does well today from what is still a promise
- Spot and prioritise use cases with real impact on your business
- Estimate costs, benefits and risks before investing
- Choose between buying, adapting or building a solution
- Set usage and governance rules without holding teams back
- Prepare a 6-12 month AI roadmap
Syllabus
7 modules, from the fundamentals to the final project.
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AI without the hype
- Classic AI, machine learning and generative AI in business language
- What a language model is and why it is sometimes confidently wrong
- Live demo with cases from companies like yours
- Common myths and reasonable expectations
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Where the value is
- Map of opportunities by department
- Repetitive tasks, scattered knowledge and data-driven decisions
- Impact × ease matrix for prioritising
- Workshop: each participant identifies three cases in their area
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Numbers before enthusiasm
- The real costs of an AI solution (licences, integration, maintenance, people)
- How to measure time saved and quality gains
- Tightly scoped pilots with success criteria agreed upfront
- Signs that a project should be stopped in time
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Buy, adapt or build
- Off-the-shelf tools versus custom development
- Key questions to ask an AI vendor
- Vendor lock-in, privacy and data portability
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Risk and accountability
- Errors, bias and hallucinations in business processes
- Confidentiality and data protection
- EU AI Act obligations that already apply
- Human oversight proportionate to the risk
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Leading adoption
- A one-page AI usage policy
- Role-based training and mandatory AI literacy
- How to involve teams and handle their concerns
- Indicators for tracking adoption
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Your roadmap
- From a list of ideas to a quarter-by-quarter plan
- Roles, budget and quick wins
- Presentation and discussion of the participants' roadmaps
Tools you will practise with
- ChatGPT
- Microsoft 365 Copilot
- Claude
- Gemini
- Use case prioritisation template
Hands-on project
Each participant leaves with a first AI roadmap for their area or company, with three prioritised use cases, an estimate of effort and return, and the main risks of each one.
Requirements
- No prior technical knowledge needed.
Frequently asked questions
How is it different from a generative AI course?
Is technical knowledge needed?
Can it be run just for our leadership team?
Does it cover the EU AI Act?
What do we take away?
Other courses
-
AI business case and ROI course
Turn an AI idea into a business case with numbers you can defend.
- Duration: 8 hours
- Level: Intermediate
-
AI change management and adoption course
Get AI used for real, with judgement and without fear, across the organisation.
- Duration: 6 hours
- Level: Beginner
-
AI project and product management course
Take an AI project from idea to production without it becoming an endless pilot.
- Duration: 12 hours
- Level: Intermediate
Where it is applied
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AI consulting for SMEs
We help small and medium-sized businesses find where AI can add value, which cases are worth testing and how to start without investing in solutions they do not need.
Related articles
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The AI Act for SMEs: your obligations and how to prepare
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Strategy
How to implement AI in an SME: a step-by-step guide
How to implement artificial intelligence in an SME: choosing the first use case, running a pilot, buying or building, measuring the return, avoiding mistakes.
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Regulation
AI literacy: the mandatory training in Article 4 of the AI Act
What AI literacy under Article 4 of the AI Act requires, who it affects, how to document it and a role-based training plan for your company.
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Want this course for your team?
We adapt the content, length and format to your company.