The digital transformation of bridge management is enabling data-driven condition assessment and predictive maintenance through Structural Health Monitoring, Artificial Intelligence, and Digital Twins. However, beyond technical performance, the economic, social, and organizational benefits of automating maintenance processes through smart contracts remain largely unexplored. This paper assesses the potential economic, social, and inter-organizational value of adopting blockchain-based smart contracts in bridge maintenance workflows. A retrospective case study is conducted on an existing bridge that underwent condition-based maintenance interventions. The conventional management process is compared with an alternative scenario in which certified monitoring data, AI-assisted decision-making, maintenance execution, and payment mechanisms are governed through smart contracts. The comparative analysis examines operational indicators related to administrative effort, workflow efficiency, decision traceability, deadline control, and exposure to contractual disputes. Potential social and organizational benefits are also considered, including increased transparency, accountability, auditability, and coordination among infrastructure owners, operators, engineers, and service providers. The proposed approach supports scalable and replicable digital governance models while preserving human responsibility for engineering diagnosis and safety-critical decisions. The analysis indicates that integrating smart contracts into AI-driven bridge management frameworks can create value beyond monitoring performance by improving traceability, accountability, and inter-organizational coordination. Because historical administrative and contractual data were unavailable, the study does not claim realized percentage savings. Instead, it provides a transparent basis for identifying where workflow automation and verifiable governance can support more efficient and trustworthy infrastructure management.