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How Can Generative AI Empower Domain Experts in Creating Process Models?

In: Digital Innovation and Organizational Transformation

Author

Listed:
  • Nataliia Klievtsova

    (Technical University of Munich, TUM School of Computation, Information and Technology)

  • Juergen Mangler

    (Technical University of Munich, TUM School of Computation, Information and Technology)

  • Timotheus Kampik

    (SAP Signavio)

  • Janik-Vasily Benzin

    (Technical University of Munich, TUM School of Computation, Information and Technology)

  • Stefanie Rinderle-Ma

    (Technical University of Munich, TUM School of Computation, Information and Technology)

Abstract

Considering the human factor in information systems is a key to future digitalization efforts, as stated in the Industry5.0 research and innovation actions of the EU. Especially in the design phase of a process-oriented information system, the human factor includes the empowerment of domain experts in process model creation lowering the entry hurdle for process modeling, and increasing modeling speed. In this work, we investigate how generative AI methods can support domain experts in creating process models in interaction with a chatbot based on textual process descriptions. We explore the amount of necessary information required as input to create process models with immediate visual representation using markdown-inspired languages and extend existing evaluation methods for assessing generated models, focusing on their completeness and correctness. Overall, an evaluation method has to consider the complex relationships between model completeness, correctness, textual process description, textual representation, and prompt engineering to support the domain expert.

Suggested Citation

  • Nataliia Klievtsova & Juergen Mangler & Timotheus Kampik & Janik-Vasily Benzin & Stefanie Rinderle-Ma, 2026. "How Can Generative AI Empower Domain Experts in Creating Process Models?," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Digital Innovation and Organizational Transformation, pages 57-72, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08483-5_5
    DOI: 10.1007/978-3-032-08483-5_5
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