AI-based scenario management for SMEs: the need for modular, explainable and reusable foresight pipelines
ABSTRACT: 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.
Authors
- Tobias Seidenberg (ORCID: https://orcid.org/0000-0002-1504-3308)
- Roman Dumitrescu (ORCID: https://orcid.org/0009-0009-6877-740X)
- Laban Asmar
- Khoren Grigoryan
- Jonas Knepler
Institutions
- Paderborn University (DE)
- Fraunhofer Institute for Mechatronic Systems Design (DE)
Publication Details
- Journal
- Proceedings of the Design Society
- Published
- 2026-07-02
- DOI
- https://doi.org/10.1017/pds.2026.10595
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00