Despite the notable technological advancements, especially in areas like digital twins, we are still confronted with asignificant challenge in the process of asset digitization. This challenge lies in the precise and comprehensivedetermination of how assets adapt to the new management of complex systems, a direct consequence of digitization.As our infrastructure and systems become increasingly digital, it is imperative that the way we manage and maintainour assets evolves accordingly. However, this transition is not always clear or efficient. The existing gap inunderstanding and implementing asset digitization directly impacts the organization of information associated withthese assets. Digital assets are much more than mere pieces of machinery; they represent crucial components in aninterconnected digital ecosystem. The lack of a precise understanding of how these assets integrate and behave inthis new digital environment compromises our decision-making and management capabilities. This deficiency can leadto operational inefficiencies, unnecessary costs, and ultimately, a decrease in the quality of service and infrastructurereliability.This article focuses on addressing this challenge from a perspective centered on asset digitization. It provides adetailed practical case of how we can progress in this space through the integration of various models. Thiscomprehensive approach includes interpreting how we define and categorize assets according to establishedstandards, evaluating the criticality of these assets, and combining monitoring models with the Asset Health Index(AHI) model. The integration of these models offers a complete view of asset digitization, covering different levels ofcomplex asset system management, and facilitates a better connection between real-time monitoring and a deeper,long-term understanding of asset condition and performance. The resulting synergy enhances the effectiveness ofasset digitization strategies, especially in critical applications such as infrastructure management. A concrete exampleis presented in the article: the digitization of a set of pumps. This demonstrates how these practices can have apositive impact on asset management and maintenance in the context of digital transformation, contributing toimproving the safety, efficiency, and reliability the assets.