The wastewater sector is under increasing pressure to deliver sustainable, resilient solutions while meeting stringent regulatory requirements such as CIRIA C736 and the Industrial Emissions Directive (IED). Yet, many routine processes—sensitivity testing, hydraulic modelling, and compliance checks—remain time-consuming and resource-heavy, limiting opportunities for innovation. This presentation explores how Artificial Intelligence (AI) could transform these everyday tasks into streamlined, high-value processes. Rather than presenting completed projects, it focuses on practical possibilities for integration. Examples include automating sensitivity testing within hydraulic modelling platforms like InfoWorks ICM to reduce manual iterations, and using AI-assisted tools to accelerate data visualisation in Plotly for clearer, faster reporting. Embedding compliance logic within AI systems could help flag design risks early, supporting regulatory adherence and minimising costly rework. Beyond modelling, predictive leak detection through AI-driven analysis of pressure trends offers potential to anticipate failures before they occur, improving reliability and reducing environmental impact. These concepts are not case studies but realistic pathways for the industry to embrace digital transformation. By applying AI to routine processes, engineers can save time, enhance accuracy, and unlock capacity for strategic decision-making—positioning the sector for a more efficient and resilient future.