Helping Water Utilities Conserve Resources using AI
CML Insight provides advanced, AI-driven solutions tailored for water utilities, promoting water conservation and operational asset management excellence through cutting-edge AI/LLM technologies and four core capabilities: sophisticated data integration, predictive analytics, real-time monitoring, and automated decision-making. We also offer training and support to maximize technology use, optimize resources, reduce waste, and enhance infrastructure reliability. Additionally, detailed reporting tools and customizable dashboards aid in tracking performance and informing strategic decisions.
AI-Powered Water Bill Analysis extracts years of historical data from complicatedly locked PDF bills, supplements data with high qulaity property characteristics data to pinpoint the key drivers behind high water consumption patterns.
Targeted Behavioral Messaging enables utilities to launch data-driven conservation campaigns that motivate customers to reduce usage through personalized communications.
Sustainable Rate Structures balance conservation incentives with long-term financial stability, ensuring utilities can maintain infrastructure while encouraging responsible water use.
Integrated Sensor Networks combine smart monitoring technology with AI applications to optimize equipment performance, extend asset lifecycles, reduce energy consumption, and ensure regulatory compliance.
Carrizo Springs
Problem
Carrizo Springs faced rising water costs and declining aquifer levels without a clear, actionable conservation strategy.
Solution
CML Insight used AI and LLM agents to extract municipal data from data jail, built predictive models to identify high-usage drivers, and designed behavioral interventions targeting key customer groups.
Results
The plan projects 2–36% consumption reductions and shows conservation is 4–7x more cost-effective than supply expansion, enabling sustainable, phased water management.
Crystal City
Problem
Crystal City’s wastewater system relied on paper records and emergency repairs, leading to high costs and compliance risks.
Solution
CML Insight is developing an AI-powered asset management overhaul, digitizing records, tagging assets, and creating Operational Compliance Plans to enable preventive maintenance.
Results
Smart sensors and AI tools with LLM agents are projected to improve efficiency by 3–6%, cutting costs, extending asset life, upskilling workers for effective human-AI collaboration, and supporting data-driven decisions and long-term capital planning.