Bridge is important infrastructure that supports societal connectivity, mobility, and the smooth flow of goods as well as services in Indonesia. In the last 3 years, 60% of bridges in Indonesia have become old and deteriorated, necessitating the need for proper maintenance and preservation. Implementation challenges often arise due to policy issues, inefficient organizational structures, and limited adequate Funding. Therefore, this research aimed to evaluate the policies, organizational structures, and Funding related to bridge maintenance and preservation in Indonesia. Secondary data obtained from current policy regulations, present organizational structures, and budget allocations for bridge maintenance using Partial Least Square Structural Equation Modeling (SEM-PLS) – Artifical Neural Network (ANN) Method were qualitatively and quantitatively analyzed. Surveys and interviews with stakeholders, such as government entities, relevant institutions, and contractors involved in bridge maintenance were conducted. The result provided insights into the challenges faced in bridge maintenance and preservation implementation. Furthermore, it provided policy recommendations needed to enhance the effectiveness of policies, organizational structures, and Funding related to bridge maintenance and preservation. ©2025 The author(s).