Reliability-Centered Maintenance (RCM) provides a systematic approach to maintenance decision-making. This approach continuously identifies the most effective maintenance strategies to ensure system performance while optimising safety and cost-effectiveness. Hence, RCM can address challenges with a fast technological development and lagging structural capabilities. However, there are some challenges in applying RCM. Therefore, the purpose of the study presented in this paper is to enhance maintenance practices in a dynamic environment by combining possible solutions to the Collingridge dilemma, the Pacing problem and the Maintenance paradox. To fulfil the purpose a literature study was performed in parallel with a case study, where findings from each study was analysed separately and together. RCM’s focus on operational context helps manage the Maintenance paradox by prioritising safety and cost-effectiveness even with limited initial data. By iteratively analysing failure modes, organisations can improve maintenance programs as more operational data accumulates. Similarly, RCM mitigates the Pacing problem by balancing preventive maintenance in a dynamic maintenance program with the adaptability to integrate newer technologies, ensuring compatibility with evolving system requirements. Furthermore, RCM addresses the Collingridge dilemma by emphasising risk-based approaches, allowing for flexible maintenance strategies that accommodate changes in system design without overcommitting resources prematurely. In addition, solutions to manage the Pacing problem and the Collingridge dilemma can enhance the application of RCM. Examples of these solutions are “Intelligent trial and error” supported by Design of Experiments (DoE), test environments, Artificial Intelligence (AI) and the “Precautionary principle” to achieve compliance, but also to support productivity and dependability improvements.