This course introduces students to agentic AI and its applications in strategy and innovation.

The course focuses on the practical use of modern AI systems that can decompose tasks, retrieve and process information, use tools, and generate structured outputs in support of managerial work. Rather than emphasizing advanced technical theory, the course is designed as a hands-on prototyping studio in which students work in teams to build and test simple AI-based workflows for real business problems.

This course complements Elective – AI-Driven Decision Making, and students are encouraged to take both courses. The other course focuses on AI as a support for strategic decision-making, whereas this course focuses on the design, prototyping, and evaluation of agentic AI systems in strategic settings.

After successfully completing this course, students will be able to:

• explain the basic logic of agentic AI systems in a business context
• identify and formulate suitable use cases for agentic AI in strategy and innovation
• design and prototype a simple AI-supported workflow for a practical management problem
• evaluate the usefulness, limitations, and risks of AI-based systems in organizational decision-making
• communicate the value proposition, design choices, and implementation logic of an AI prototype to a managerial audience

Students must attend at least 80 % of scheduled contact hours. Attendance in the final session is compulsory because the individual exam takes place then. 

Teaching and learning methods include lectures, collaborative sessions, final project presentation. The course is designed to give students first-hand experience with emerging AI-based work practices rather than only conceptual knowledge.

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