This paper explores the challenges and solutions in developing an Internet of Things (IoT)-style digital engine replica in a low-connectivity environment, specifically within the Royal Navy (RN). It underscores the inherent limitations of continuous connectivity in naval operations, where communication links can be disrupted or intentionally severed. Whilst alternative solutions to this problem exist, utilising the Palantir Foundry Software Programme allows an increase in the dataset by capturing data not from one digital twin but from multiple, a strategy termed the ‘digital mother’. By leveraging the collective data from multiple engines, the dataset’s fidelity can be significantly enhanced, nearing the desired level of accuracy with no requirement for additional hardware. Using a lean start up methodology, the paper outlines the fundamental hypothesis and value proposition of the digital mother before demonstrating a methodical approach to building a Minimum Viable Product. Finally, it highlights the unique approach of empowering the end-user to create their own agile digital tools tailored to their specific needs. With training in data engineering, this approach ensures the solutions are not only technically robust but also intuitively designed to meet the demands of front-line RN engineers. The outcome aligns with the ‘Lean, Green, Mean’ approach. In terms of Lean principles, leveraging an organic workforce asset reduces development costs. In addition, the product enhances the quality of decision-making and streamlines maintenance schedules, providing savings in both costs and maintainer resource. From a Green perspective, using predictive analytics to manage inventory and contractor support facilitates a reduction in the engine’s environmental footprint. As for the Mean aspect, employing intelligent maintenance increases availability, maximising resource so the RN can continue to fight and win.