Bridge maintenance is a routine activity carried out by bridge management authorities, with the Ministry of Public Works being responsible for overseeing maintenance programs, particularly on national road networks in Indonesia. Long-span bridges pose unique challenges in maintenance planning due to their extensive observation areas, necessitating advanced tools for damage assessment. Digital twin processes using laser scanning technology have become a preferred method for bridge managers, facilitating accurate mapping of bridge conditions. This approach ensures the generated data provides precise and reliable information, which can be effectively integrated into bridge preservation plans. However, the implementation of digital modeling does not always proceed seamlessly as anticipated. Therefore, this study aims to outline the stages, challenges, and field findings that can serve as valuable lessons for future management of critical infrastructure assets. Effective data collaboration, combined with the appropriate utilization of digital tools, can deliver accurate information, enabling bridge managers to make informed preservation decisions aligned with actual field conditions. The research findings indicate a significant discrepancy between the as-built drawings and the data processed from Terrestrial Laser Scanning (TLS), revealing movements in the pylon, deck, and girder elements of the bridge. In the future, the Digital Twin is expected to support informed decision-making as a foundation for bridge maintenance planning.