AI-driven transformation of organizations

This course explores how artificial intelligence transforms industries, work, leadership, and business processes. Students gain scientific insights into the impact of AI on occupations, employee and leadership tasks, and on process analysis and automation. The course combines scientific foundations with practical examples and hands-on practitioner projects. Through workshops and group work, students learn how to critically assess, design, and govern AI-enabled work, leadership, and process solutions in organizational contexts.

After successfully completing this course, students will be able to: Analyze the impact of artificial intelligence on industries, occupations, and employee tasks, identifying opportunities and challenges for organizations. Evaluate the implications of AI on leadership roles, managerial decision-making, and organizational governance. Apply concepts of process mining and AI-enabled process automation to improve business processes and create value. Design AI-supported workflows, human–AI collaboration models, and automation strategies that align with business objectives. Assess ethical, social, and governance issues related to AI in organizational contexts, including trust, accountability, and transparency. Implement practical solutions using AI agents and agentic AI in organizational scenarios, including process and task automation. Communicate insights and recommendations from AI-driven analyses effectively to managerial and stakeholder audiences. Critically reflect on the opportunities, risks, and limitations of AI in transforming work, leadership, and processes.

The seminar places a strong emphasis on hands-on workshop formats and enables students to actively explore how AI technologies can be used to automate, optimize, and redesign organizational processes. Working in teams, students apply concepts and tools to a practical use case, bridging theory and real-world business challenges. Students are required to hold a presentation (15 min) (30% of grade) and hand-in the documentation of their project results (70 % of grade).

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The seminar will encompass individual and group work and hands-on workshops. Learning methods will include identifying business problems and develop solutions hands-on. The seminar will also include guided self-learning.