We built an AI-native Water Operations Automation platform that runs municipal water systems with agents instead of operators staring at SCADA dashboards. An anomaly-detection agent ingests sensor telemetry — pH, contaminants, pressure, flow rates, temperature — and flags abnormal patterns before they become outages or water-quality incidents. A leak-detection workflow correlates pressure drops with flow anomalies across the network to localize leaks within meters, eliminating speculative inspection runs. A predictive-maintenance agent forecasts equipment failures from vibration and runtime data, scheduling work orders before breakdowns happen. Conservation-forecasting models predict consumption by district and season, triggering demand-shaping alerts and regulatory reporting. Approval workflows automate exception handling for water-quality breaches, high-priority alerts, and compliance filings. Every agent decision is auditable, override-able, and tied to operational rules — so automation augments the utility ops team without removing accountability.