Municipal infrastructure assets systems (MIAS) play a critical role in urban development and service delivery across Rwanda. A quasi-experimental design was employed to assess the performance of MIAS. Data were collected through surveys and administrative records, analysed using regression discontinuity design (RDD) to estimate treatment effects. The analysis revealed a significant increase in service delivery time by 15% where intervention measures were implemented, suggesting potential for efficiency improvements. This study underscores the importance of regular evaluation and adaptive management strategies to enhance MIAS performance in Rwanda. Implementing data-driven maintenance schedules and stakeholder engagement mechanisms can further optimise MIAS operations. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.