Maintaining resilient water and wastewater infrastructure requires a clear understanding of asset performance over time, how degradation develops, and early identification of deterioration to enable proportionate intervention. In practice, many operators continue to rely on periodic inspection and reactive maintenance, limiting their ability to prioritise activity, optimise investment and maximise asset life. This presentation describes a mature wireless monitoring solution that delivers continuous insight into asset condition and performance across water infrastructure, with direct applicability to wastewater environments. The system combines low-power, long-life sensors with robust cloud connectivity to support condition-based monitoring of rotating assets such as pumps, blowers and motors, including very slow rotation speed assets. The same platform is also used to support targeted temperature monitoring during critical refurbishment activities. Deployed at scale across UK clean water sites, the solution has supported improved asset resilience through earlier fault detection, reduced unplanned intervention and more informed maintenance planning. During refurbishment works, real-time alerting and automated reporting have helped maintain regulatory compliance while reducing programme risk. The presentation will also outline current development of an automated, machine-learning-based asset status and assessment capability, translating collected data into prioritised maintenance recommendations, enabling scalable monitoring of larger asset fleets.