@article{67358,
  abstract     = {{<jats:title>ABSTRACT:</jats:title>
                  <jats:p>Small and medium-sized enterprises often lack the time, expertise, and tools for effective scenario management. This paper proposes a modular, AI-enabled scenario architecture integrating a guided wizard and expert environment on a shared knowledge backbone. The design aims to reduce effort and tool fragmentation while preserving human judgment, structural quality, explainability, and traceability. The proposed pattern outlines a provenance-aware foresight pipeline with human-in-the-loop capabilities that aims to transform one-off projects into reusable organizational knowledge.</jats:p>}},
  author       = {{Knepler, Jonas and Seidenberg, Tobias and Grigoryan, Khoren and Asmar, Laban and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{2373--2382}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{AI-based scenario management for SMEs: the need for modular, explainable and reusable foresight pipelines}}},
  doi          = {{10.1017/pds.2026.10595}},
  volume       = {{6}},
  year         = {{2026}},
}