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This paper proposes a "involving before evolving" paradigm for Enterprise Digital Twins, leveraging foundation models to rapidly prototype systems and secure early organizational buy-in before scaling toward full interoperability. By combining rapid prototyping with an ontological backbone and observability tooling, the approach addresses critical challenges in stakeholder trust and federated data integration within complex manufacturing environments.
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Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering

arXiv2 min read

arXiv:2609.13071v1 Announce Type: cross Abstract: Enterprise Digital Twins (EDTs) promise data-driven decision support at organizational scale, but realizing them requires navigating siloed departments, tacit knowledge, and high-stakes decisions with long-horizon consequences. Existing approaches involve domain experts during model development but focus less on early organizational buy-in in EDTs. We present a vision for trustworthy EDT engineering grounded in an `involving before evolving' paradigm: rapidly involving stakeholders through a working prototype before evolving toward federation and full interoperability. Our three-stage approach combines foundation models for rapid prototyping, an ontological backbone for federated interoperability, and observability tooling for stakeholder trust. We ground our vision in an ongoing collaboration with Michelin, a multinational manufacturer, where an initial prototype has helped support stakeholder buy-in.

Abstract:Enterprise Digital Twins (EDTs) promise data-driven decision support at organizational scale, but realizing them requires navigating siloed departments, tacit knowledge, and high-stakes decisions with long-horizon consequences. Existing approaches involve domain experts during model development but focus less on early organizational buy-in in EDTs. We present a vision for trustworthy EDT engineering grounded in an `involving before evolving' paradigm: rapidly involving stakeholders through a working prototype before evolving toward federation and full interoperability. Our three-stage approach combines foundation models for rapid prototyping, an ontological backbone for federated interoperability, and observability tooling for stakeholder trust. We ground our vision in an ongoing collaboration with Michelin, a multinational manufacturer, where an initial prototype has helped support stakeholder buy-in.

Accepted for publication at MODELS Companion 2026 (Málaga, Spain). 5 pages (4 pages + 1 page references)

Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)

arXiv:2609.13071 [cs.SE]

(or arXiv:2609.13071v1 [cs.SE] for this version)

https://doi.org/10.48550/arXiv.2609.13071 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 232 words

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