Know which actions will improve conservation and service outcomes, and by how much
Start with one decision, using data you already have. We show it first on synthetic data shaped like yours.
Cities and utilities we work with
Prediction shows risk. Causation shows the way forward.
Most reports tell you how much water was used and which assets failed. CML+ estimates which action will actually change the outcome, and by how much.
Where is demand high, and what might fail?
- Usage reports and alarms
- Little guidance on which program or repair to fund
- Can't tell which conservation programs actually worked
What will help, and did it?
- The drivers of high usage, and the customer groups with the most to gain
- Conservation scenarios and preventive maintenance compared before you commit
- Measured reductions, so budgets follow what works
How it compares with what you already have
CML+ builds on your dashboards and analysts rather than replacing them, starting from your billing, SCADA and work-order data, even paper records.
| Compared on | BI dashboards | In-house analysts | Consultants | CML+ |
|---|---|---|---|---|
| Answers | What happened | The questions they have time for | One question, once | Which action reduces demand or prevents a failure, and by how much |
| Keeps learning | No | When staffed | Ends with the report | Each phase of a program updates the evidence |
| Who can use it | Analysts and leaders | Analysts | Sponsors | City managers, crews and operators, each in their own terms |
| Works with | The reports you already build | The data they can reach | Extracts for one engagement | Your billing, SCADA and work-order data, even paper records |
BI dashboards
- Answers
- What happened
- Keeps learning
- No
- Who can use it
- Analysts and leaders
- Works with
- The reports you already build
In-house analysts
- Answers
- The questions they have time for
- Keeps learning
- When staffed
- Who can use it
- Analysts
- Works with
- The data they can reach
Consultants
- Answers
- One question, once
- Keeps learning
- Ends with the report
- Who can use it
- Sponsors
- Works with
- Extracts for one engagement
CML+
- Answers
- Which action reduces demand or prevents a failure, and by how much
- Keeps learning
- Each phase of a program updates the evidence
- Who can use it
- City managers, crews and operators, each in their own terms
- Works with
- Your billing, SCADA and work-order data, even paper records
Conservation and asset management
Conservation that works
Assets that last
Water Utilities Products
Agua Works AI for the assets that keep water flowing, and conservation work for the demand on them.
Asset management
Agua Works AI
An asset management platform for water utilities: a hybrid SaaS and conversational agent application that shifts crews from emergency repairs to planned operations.
- Digitized asset inventory: paper records in one cloud platform, with mobile work orders and automated scheduling
- Bilingual AI assistant: real-time answers to asset-specific maintenance questions, reminders and evidence-based guidance on asset health
- Predictive maintenance: temperature and vibration sensors feed models that filter false alarms and catch failures early
- Work assignment optimization: geographic clustering and route optimization cut crew travel time by 20–30%
- Crew location and safety: work-hours-only GPS, geofencing and mileage tracking for accountability and emergencies
- SCADA integration: connect existing SCADA to filter alarms and trigger maintenance from real operating conditions
Demand
Conservation programs
Find the drivers of demand and design conservation programs that cause real reductions.
- Agents gather data from fragmented municipal sources
- Predictive models find high-usage drivers
- Phased behavioural interventions target the customer groups with the most to gain
- Water-loss detection finds what metering misses
Screens are illustrative.
What each role gets
City managers and utility leaders
Which conservation programs and repairs to fund, and which to stop. Cost-effectiveness you can take to council, such as conservation against new supply. Evidence from a pilot before any larger commitment.
Crews and operators
Mobile work orders and planned routes in place of emergency repairs. A bilingual assistant that answers maintenance questions about your own assets. Skills built through daily use.
City IT and security
We first show your views on synthetic data shaped like your system. Works from billing, SCADA and work-order data you control. Location tracking runs during work hours only.
How we handle securityWhere these applications are working
Each item is CML Insight's own work with the named partner. Status is shown as it stands today.
Carrizo Springs
Conservation is 4–7× more cost-effective than expanding supply.
Challenge
Rising water costs and falling aquifer levels, with no clear conservation strategy.
Approach
AI and LLM agents extracted municipal data from fragmented sources. Predictive models identified high-usage drivers, and behavioural interventions targeted key customer groups.
Result
The City Manager credits the work with turning complex raw data into an actionable, locally tailored plan.
Projected
A phased plan projecting 2–36% lower consumption.
Crystal City
A projected 3–6% efficiency gain, from paper records to AI-assisted asset management.
Challenge
A wastewater system dependent on paper records and emergency repairs, with high costs and compliance risk.
Approach
An AI-powered asset management overhaul: digitized records, tagged assets and Operational Compliance Plans for preventive maintenance.
Projected
Lower costs, longer asset life, upskilled workers and better data for capital planning.
“CML Insight transformed complex raw data into a clear, actionable plan. Their analysis provided practical water conservation strategies tailored specifically to our system — not generic recommendations, but data-driven solutions based on our community's unique needs. The ability to convert raw data into meaningful strategy has strengthened our decision-making process and positioned our city for smarter water management moving forward.”
City Manager
City of Carrizo Springs
Bring one decision you want to get right.
Book a working sessionStart with a pilot, not a transformation
A low-lift pilot on one program or group of assets, using data you already have: evidence before any larger commitment.
Pick one decision
One conservation program or group of assets you need to get right, such as a conservation plan or preventive maintenance for critical assets.
Use the data you have
Billing, SCADA and work-order data. We first show your views on synthetic data shaped like your system.
Decide on evidence
See which actions worked, where and by how much, then decide whether to scale.
Start with the data you already have
Even paper records and a billing system are enough to begin.
Book a working sessionWhat happens next
- We reply within one business day.
- A 45-minute working session works through your decision with you.
- We show a prototype on synthetic data shaped like yours.