AI Competence for Experienced Executives: Strategy, Leadership, and Governance

AI Competence for Experienced Executives: What Really Matters

• A Critical Analysis of AI: Origins, Development, and Contemporary Relevance.
• Opportunities, limitations, and common misjudgments in a business context.
• Understanding and Assessing Risks: Bias, Hallucinations, Data Protection, Liability.
• Overview of relevant AI application categories in a business context.
• What AI proficiency actually means for executives today—beyond just knowing how to use the tools.

AI as a Lever for Value Creation in One's Own Field

• Methods for identifying and prioritizing relevant use cases.
• Quick Wins vs. Strategic Areas of Application: How to Combine the Two Effectively.
• Assessment of benefits, feasibility, and resource requirements.
• Data quality and data structure as the foundation of every AI project.
• KPIs and Performance Measurement: How to Measure Efficiency, Quality, and Business Impact in Concrete Terms.

Leading Human-AI Collaboration

• A new division of roles between humans and AI within the team.
• Rethinking Delegation, Oversight, and Accountability in the Context of AI.
• Quality Assurance and Decision-Making Logic in AI-Supported Processes.
• Specific effects on team dynamics, collaboration, and leadership.

Actively Shaping Change and Transformation

• Dealing with uncertainty, skepticism, and resistance within your own team.
• Targeted Management of Competency Development and Skill Shifts: Who Needs What—and When?
• Effective communication of AI-related changes both internally and externally.
• Factors for success in ensuring long-term integration into everyday work life.

Governance: Guidelines for the Use of AI Within the Scope of Responsibility

• Responsible and Safe Use of AI as a Leadership Task.
• Clearly define roles, responsibilities, and decision-making processes.
• Develop guidelines and practical rules for using AI in a team.
• Compliance with current regulatory requirements—in particular, the EU AI Act.

Transfer: Your Personal AI Roadmap

• Assessing the Current Situation: Where does your department stand today—realistically speaking?
• Identification of 2–3 priority areas of action with concrete value-creation potential.
• Development of measurable actions with clear responsibilities.
• Developing your personal 90-day implementation plan.