Business fields · Leadership & Management
AI training for Leaders
For leaders, generative AI matters in two ways: as a personal tool and as a strategic topic for the organisation. Personally, AI helps you grasp decision papers faster, structure strategy documents, prepare difficult conversations and sharpen your own communication. Strategically, leaders must judge where AI creates real value, what risks arise and how to support their teams in building skills. AI agents are changing roles, processes and responsibilities, which calls for clear guardrails, employee participation and an open learning culture. Leaders who have experienced AI hands-on can assess opportunities realistically, steer investment purposefully and lead change credibly.
Who is this course for?
- Managing directors and board members
- Division and department heads
- Team leaders
- Strategy and transformation leads
- Emerging leaders
Typical challenges we address
- Information overload from reports, emails and decision papers
- Uncertainty about where AI realistically adds value in your area
- Teams with very different levels of AI knowledge and reservations
- Legal, ethical and employee relations questions when introducing AI
Practical scenarios from your field
Condensing decision papers
Lengthy reports, business cases and analyses are distilled into key messages, assumptions, risks and open questions so you can form a sound judgement faster and ask targeted follow-up questions.
Strategy sparring
AI acts as a critical sounding board for strategic options, runs through scenarios, formulates counter-arguments and helps surface assumptions and blind spots in plans. The decision remains yours.
Preparing one-to-ones
Guides for feedback, objective-setting or conflict conversations are structured, wording is refined and possible reactions are rehearsed – without entering personal details into unapproved tools.
Leadership communication
Announcements, speeches, change messages and answers to tough questions are drafted for the audience and adjusted in tone, clarity and length for staff, boards or customers.
Assessing AI potential
Together with the team, processes are systematically screened for AI suitability, prioritised by benefit and effort and translated into concrete pilot projects. Success criteria are defined up front.
More effective meetings
Agendas, pre-reads and minutes are prepared with AI, making meetings shorter and more decision-focused while actions are tracked clearly. Recurring formats can gradually be standardised as well.
Possible hands-on projects
AI use case radar
A small app where teams log ideas for AI use, rate them by benefit, effort and risk and view them as a prioritised overview.
Decision log
An internal tool that records key decisions with rationale, alternatives and owners and shows when each decision is due for review.
OKR tracker
A simple web app for maintaining objectives and key results per team, with progress indicators and an automatically generated quarterly review.
All 15 courses for Leaders
AI for business (12)
- ChatGPT for Leaders
- Claude for Leaders
- Microsoft 365 Copilot for Leaders
- Google Gemini for Leaders
- AI Agents for Leaders
- Prompt Engineering for Leaders
- Generative AI for Leaders
- n8n for Leaders
- Make for Leaders
- Perplexity for Leaders
- Mistral Le Chat for Leaders
- EU AI Act & AI Compliance for Leaders
Vibe & agentic coding (3)
Data protection & compliance
Introducing AI systems capable of monitoring employee behaviour or performance is subject to co-determination by works or staff councils where these exist, and employee data requires particular protection under the GDPR. The EU AI Act also requires organisations to ensure adequate AI literacy among staff and to scrutinise high-risk applications, for example in HR.
Prerequisites
Leadership or management responsibility, or preparation for such a role; no technical background required.
Frequently asked questions
Why should leaders use AI hands-on themselves?
Only those who have tried AI tools themselves can judge benefits, limits and effort realistically, steer investment sensibly and support their teams credibly. The course therefore combines practical exercises on your own leadership tasks with strategic questions about organisational adoption.
What about works councils and employee representatives?
Where AI systems can be used to monitor employee behaviour or performance, employee representatives usually have co-determination rights. Early involvement, transparent objectives and a framework agreement on AI use have proven effective. In the course we discuss typical provisions and steps towards a trust-based rollout.
Request without obligation
We will get back to you within one working day with a confirmation or an alternative suggestion.