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Identifying, Designing, and Evaluating AI Use Cases

In: Managing Artificial Intelligence

Author

Listed:
  • Nils Urbach

    (Frankfurt University of Applied Sciences)

  • Daniel Feulner

    (University of Bayreuth)

  • Simon Feulner

    (Frankfurt University of Applied Sciences)

  • Dominik Protschky

    (University of Bayreuth)

Abstract

In this chapter, we outline a structured approach that guides organizations through three key stages of AI use case development. First, we focus on the identification of promising use cases by combining organizational needs with AI capabilities. Next, we address the design of AI-based services using the AI Service Canvas, which helps structure data requirements, business potential, and organizational integration. Finally, we present the evaluation of AI use cases through the effect-path model—a tool for systematically tracing how data and AI capabilities generate business value and competitive advantage.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-032-13308-3_7
DOI: 10.1007/978-3-032-13308-3_7
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