# Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering

arXiv: https://arxiv.org/abs/2609.13071 · HTML: https://mlsanity.com/paper/2609.13071/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 35 references that are in the map.
- First posted on arXiv 11 Sep 2026.

## Builds on (most cited first, 5 of 5)

- [Understanding World or Predicting Future? A Comprehensive Survey of World Models](https://mlsanity.com/paper/2411.14499/) (2024)
- [Foundation Models for Time Series: A Survey](https://mlsanity.com/paper/2504.04011/) (2025)
- [What-if Analysis for Business Professionals: Current Practices and Future Opportunities](https://mlsanity.com/paper/2212.13643/) (2022)
- [Systems of Twinned Systems: A Systematic Literature Review](https://mlsanity.com/paper/2505.19916/) (2025)
- [DTInsight: A Tool for Explicit, Interactive, and Continuous Digital Twin Reporting](https://mlsanity.com/paper/2508.18431/) (2025)

## Abstract (arXiv)

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.