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Value Creation With AI in Corporates: Lessons From Success and Failure (MGT001485)

Master | 3 ECTS | WINTER TERM 2025/2026

📕Course Description

This lecture series examines the strategic, technological, organizational, and ethical dimensions of value creation with Artificial Intelligence (AI) in corporate settings. Through an interdisciplinary lens combining academic research and real-world business practices, students will explore both success factors and failure patterns of AI initiatives across industries. The curriculum is structured around five thematic pillars: AI Strategy & Value Potential, AI Platform & Ecosystem Strategy, People Strategy & AI Leadership, Responsible AI & Execution Strategy, and Generative AI in Practice Participants will develop a management-ready AI value playbook and present it in a simulated executive boardroom setting.

🙇‍♀️Learning Outcomes

Upon successful completion of the course, students will be able to:

Analyze real-world AI use cases and identify recurring patterns of success and failure in business value creation.
Evaluate strategic, technological, organizational, and ethical factors (e.g., implications of the EU AI Act) that influence the success of AI deployments.
Design a comprehensive AI value creation playbook tailored to a specific enterprise, covering strategy, tech stack, talent, and governance.
Articulate expected business impact and risk mitigation strategies in a professional executive-level report and presentation.

🛠️Teaching Methods

Lectures: Provide the theoretical foundation for understanding AI-driven value creation.
Case Studies: Translate concepts into practice through analysis of real corporate examples.
Guest Lectures: Deliver up-to-date industry insights and highlight practical learnings from successful and failed transformations.
Group Work: Teams of ~6 students develop a 60-slide strategic concept (70% of grade) and pitch it in a 10-minute executive presentation followed by Q&A (30% of grade). The audience simulates senior decision-makers; optional jury includes industry experts. Emphasis is placed on concise scientific communication, structured argumentation, and stakeholder-oriented delivery.

🎙️(Guest) Lecturers

Team

📕Course Description

🙇‍♀️Learning Outcomes

Upon successful completion of the course, students will be able to:

Analyze real-world AI use cases and identify recurring patterns of success and failure in business value creation.

Evaluate strategic, technological, organizational, and ethical factors (e.g., implications of the EU AI Act) that influence the success of AI deployments.

Design a comprehensive AI value creation playbook tailored to a specific enterprise, covering strategy, tech stack, talent, and governance.

Articulate expected business impact and risk mitigation strategies in a professional executive-level report and presentation.

🛠️Teaching Methods

Lectures: Provide the theoretical foundation for understanding AI-driven value creation.

Case Studies: Translate concepts into practice through analysis of real corporate examples.

Guest Lectures: Deliver up-to-date industry insights and highlight practical learnings from successful and failed transformations.

Group Work: Teams of ~6 students develop a 60-slide strategic concept (70% of grade) and pitch it in a 10-minute executive presentation followed by Q&A (30% of grade). The audience simulates senior decision-makers; optional jury includes industry experts. Emphasis is placed on concise scientific communication, structured argumentation, and stakeholder-oriented delivery.