Leveraging AI for Enhanced Water Supply Management: Policy and Implementation Strategies

This study examines the potential of Artificial Intelligence technologies to improve the management of potable water supply networks, addressing both technological advances and the corresponding policy frameworks required. By reviewing domestic and international examples, this research identifies best practices for data governance, regulatory clarity, and capacity building. Drawing on recent case studies from large utilities and smaller municipalities, the study quantifies improvements achieved through AI adoption, including notable reductions in Non-Revenue Water. Building on a structured methodological approach—encompassing literature reviews, policy analyses, stakeholder insights, and proposed pilot evaluations—this paper outlines a clear policy roadmap separated into short, mid, and long term phases. An in-depth comparative discussion leverages SWOT analysis to distill lessons from foreign frameworks for the Korean context. The conclusions emphasize actionable policy recommendations, legislative adjustments, targeted incentives, and future research directions that focus on socio-economic impact assessment and long-term performance evaluation.