AI-based scenario management for SMEs: the need for modular, explainable and reusable foresight pipelines Knepler, Jonas Seidenberg, Tobias Grigoryan, Khoren Asmar, Laban Dumitrescu, Roman <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> Cambridge University Press (CUP) 2026 info:eu-repo/semantics/article doc-type:article text http://purl.org/coar/resource_type/c_6501 https://ris.uni-paderborn.de/record/67358 Knepler J, Seidenberg T, Grigoryan K, Asmar L, Dumitrescu R. AI-based scenario management for SMEs: the need for modular, explainable and reusable foresight pipelines. <i>Proceedings of the Design Society</i>. 2026;6:2373-2382. doi:<a href="https://doi.org/10.1017/pds.2026.10595">10.1017/pds.2026.10595</a> eng info:eu-repo/semantics/altIdentifier/doi/10.1017/pds.2026.10595 info:eu-repo/semantics/altIdentifier/issn/2732-527X info:eu-repo/semantics/closedAccess