AI for Executives and Decision Makers

Course overview

Executives and decision-makers shape whether AI has an impact in their area of responsibility. This training provides the knowledge to evaluate AI initiatives, set priorities, and credibly lead the change within their team - without getting involved in the technical implementation themselves. Understanding AI to Lead Decisions require a realistic picture of the technology. - The workings of generative language models explained in leadership language - Strengths, limitations, and typical error patterns of AI outputs - Personal application practice: ChatGPT, Claude, and Microsoft Copilot in everyday leadership Evaluating Benefits and Setting Priorities - Identifying use cases in one's own area and ranking them by value contribution - Realistically assessing effort, risks, and dependencies - Examining expectations for efficiency gains instead of adopting them uncritically - Reading and questioning decision templates for AI initiatives Leading in the AI Transformation The introduction of AI is a leadership task, not just a technical project. - Dealing with concerns, resistance, and exaggerated hopes within the team - Clarifying roles and responsibilities for AI deployment in the area - Initiating skill development and creating space for experimentation - Role modeling: making one's own AI usage visible and reflective Guidelines and Responsibility - Supporting and enforcing internal rules for AI deployment in the area - Data protection, confidentiality, and approval processes in practice - Clarifying quality responsibility for AI-supported work results Management through Key Figures - Defining usage and impact metrics for AI in one's own area - Reporting progress without creating a false sense of precision - Establishing learning loops: adjusting instead of implementing once Decision Situations from Everyday Leadership The content will be played out through typical leadership decisions. - Make-or-Buy: own solution, standard tool, or external service provider - Approval of AI usage in the team: scope, rules, control points - Personnel issues: categorizing task shifts and new role profiles - Budget decisions between pilot, expansion, and consolidation - Collaboration with subject matter experts: delegating without losing oversight - Structuring experience exchange with other executives - Dealing with mistakes from AI usage: establishing a learning culture instead of assigning blame This training shows how executives can fundamentally evaluate, effectively manage, and actively shape the change of AI deployment in their area of responsibility.

Upcoming dates

• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
• 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
• 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Virtuelles Klassenzimmer