his advanced seminar explores how organizations can evaluate, design, and capture business value from Generative AI (GenAI), focusing on Large Language Models (LLMs) and AI agents. While technical capabilities of AI
are rapidly evolving, many organizations struggle to translate them into measurable economic impact.
The course provides a structured framework to assess Return on Investment (ROI) in GenAI initiatives, combining financial modelling, operational design, and strategic alignment. Students will learn how to evaluate AI use
cases not only from a technological perspective but also in terms of cost structures, scalability, risk, and long-term sustainability.
A core component of the seminar is the analysis of Total Cost of Ownership (TCO) in GenAI systems, including token-based pricing, infrastructure choices (cloud vs on-premise), model selection, and optimization techniques
such as semantic routing and prompt caching.
Students will also explore how GenAI creates value across multiple
dimensions beyond cost savings, including quality improvements, risk
reduction, and new capabilities, and how to translate these into
measurable KPIs.
Through case discussions, applied exercises, and a final group project,
students will develop the ability to build a complete business case for a
GenAI initiative, integrating ROI modelling, cost analysis, and strategic
decision-making