Despite technological advances in areas such as digital twins, we still face a significant challenge in asset digitization. This challenge lies in the precise and comprehensive determination of how assets adapt to the new management of complex systems that arise as a result of digitization.This gap in understanding and implementing asset digitization directly impacts the organization of information related to these assets. Digital assets are much more than mere pieces of machinery; they are crucial components in an interconnected digital ecosystem. Without a precise understanding of how these assets integrate and behave in this new digital environment, our decision-making and management capabilities are compromised. This can lead to operational inefficiencies, unnecessary costs, and ultimately a decrease in the quality of service and infrastructure reliability.This article focuses on addressing this challenge from an asset digitization-centered perspective. It provides a practical case of how we can advance in this space through the integration of various models. This includes the interpretation of how we define and categorize assets according to established standards, the assessment of the criticality of these assets, and the combination of Internet of Things (IoT)-based monitoring models with the Asset Health Index (AHI) model. This integration of models offers a holistic view of asset digitization, covering different levels of complex asset system management, and enables a better connection between real-time monitoring and a deeper, long-term understanding of asset condition and performance. The resulting synergy enhances the effectiveness of asset digitization strategies, especially in critical applications such as infrastructure management. A concrete example is presented in the article: the digitization of a bridge. This demonstrates how these practices can have a positive impact on asset management and maintenance in the context of digital transformation, contributing to improving the safety, efficiency, and reliability of our digital infrastructures