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Utilities — Water & Waste

AI that finds leaks faster and keeps your network compliant

You get leak detection agents, water quality monitoring, predictive asset management, demand forecasting, regulatory compliance workflows, and smart network optimisation — all running on your cloud with full audit trails.

or

Built on your AWS, Azure or GCP tenant. Ofwat, EPA, and EU Water Framework Directive compliant. Regulator-ready.

Water treatment facility with tanks and monitoring systems
30 days

Proof of concept

12–18 weeks

To measurable ROI

Your cloud

AWS, Azure or GCP

In water utilities, ageing infrastructure and tightening regulation squeeze margins from both sides

The average water utility loses 20–30 percent of treated water through leaks before it reaches a customer. Pipe bursts cost $500K–$2M per incident when you include emergency response, property damage, and regulatory fines. Water quality failures trigger public health alerts that destroy consumer trust and invite regulatory intervention that lasts years.

Your SCADA systems, flow meters, pressure sensors, and asset records already contain the signals that predict these failures. We build AI agents that connect those systems, detect leaks before they surface, predict pipe failures years ahead, and generate the compliance documentation your environmental and economic regulators require.

20–30%

of treated water lost through leaks in a typical distribution network — McKinsey Water Utilities Practice 2023

15%

leakage reduction achievable through AI-driven detection and prioritisation — BCG Infrastructure & Utilities

15–20%

extension in effective pipe asset life through predictive renewal — McKinsey Infrastructure Practice

99.7%

water quality compliance rate achievable with AI-driven real-time monitoring — WHO Water Safety Framework

Connected

From network sensor to compliance record — in one workflow

We connect your SCADA, GIS, flow meters, quality sensors, and asset management systems to AI agents that detect leaks, predict failures, monitor water quality, and generate the documentation your environmental and economic regulators require — all on your cloud

Network & Asset Data

SCADA, GIS, sensors, billing systems

AI Agent
ModelYour choice
HostingYour cloud
Workflow Engine
  • Approval gates
  • Human-in-loop
  • Audit logging
Your Cloud Tenant

AWS, Azure or GCP

Operational Output
  • Leak alerts
  • Quality reports
  • Regulatory filings
5 Integrations
4 Connections

What we deliver for water and waste utilities

Utilities AI

Agents built for regulated, infrastructure-critical water and waste operations

AI-driven leak detection

Detect and localise leaks days before they surface.

ROI

Leakage reduction15%
Detection speedDays vs weeks
Repair prioritisation accuracy85%

Process

1

Ingest network data

Flow meters, pressure sensors, acoustic loggers, and DMA balances from across the distribution network

2

Detect and localise leaks

AI identifies abnormal flow patterns and pinpoints leak locations to within 50 metres using sensor correlation

3

Prioritise repairs

Leaks ranked by estimated volume loss, burst risk, and proximity to critical infrastructure or customers

Sources

Originally published: Thames Water — Leakage Performance; Veolia Digital Solutions — reproduced for illustrative purposes

Water quality monitoring

Monitor water quality and alert before thresholds are breached.

ROI

Quality compliance99.7%
Chemical dosing reduction20%
Response timeMinutes vs hours

Process

1

Monitor quality parameters

Turbidity, chlorine residual, pH, conductivity, and microbiological indicators across treatment and distribution

2

Detect anomalies

AI identifies quality deviations and traces root causes to treatment process parameters or source water changes

3

Generate compliance records

Automated Drinking Water Inspectorate, EPA, and EU WFD reports structured for regulator submission

Sources

Originally published: Veolia — Water Treatment Optimisation; American Water — Innovation & Technology — reproduced for illustrative purposes

Predictive asset management

Predict pipe failures and prioritise capital renewal by risk.

ROI

Asset life extension15–20%
Burst reduction25%
Capital efficiency improvement30%

Process

1

Integrate asset data

Pipe material, age, diameter, soil conditions, burst history, pressure regime, and condition assessment data

2

Predict failure probability

ML models calculate failure likelihood per pipe segment over 1, 5, and 25-year horizons

3

Optimise renewal programme

Capital investment prioritised by risk, consequence, and network criticality — not age alone

Sources

Originally published: American Water — Asset Management; Suez Infrastructure Analytics — reproduced for illustrative purposes

Demand forecasting and pump optimisation

Forecast demand by zone and optimise pump scheduling.

ROI

Energy cost reduction18%
Demand forecast accuracy95%
Pressure-related bursts−20%

Process

1

Forecast demand

AI models predict demand by DMA, hour, and season using weather, calendar, and consumption pattern data

2

Optimise pump scheduling

Pump run times and pressure set-points adjusted to match predicted demand, reducing energy waste

3

Manage network pressure

Dynamic pressure management reduces excess pressure — cutting burst frequency and background leakage

Sources

Originally published: Suez — Digital Solutions; Thames Water Energy Optimisation Programme — reproduced for illustrative purposes

Regulatory compliance automation

Compile regulatory submissions in Ofwat, EPA, and DWI format.

ROI

Reporting speed60% faster
Manual data entry−75%
Submission accuracy99%+

Process

1

Aggregate compliance data

Water quality results, discharge monitoring, abstraction volumes, and performance commitments from all systems

2

Generate structured reports

AI compiles data into Ofwat, EPA, DWI, and EU WFD submission formats with automated validation checks

3

Track performance commitments

Real-time dashboard of regulatory performance commitments with early warning of potential breaches

Sources

Originally published: Thames Water — Regulatory Compliance; American Water — Regulatory Reporting — reproduced for illustrative purposes

Smart network optimisation

Optimise flow routing, pressure zones, and storage in real time.

ROI

Network efficiency+15%
Customer minutes lost−30%
Operational cost reduction12%

Process

1

Model network state

Real-time hydraulic model updated with SCADA, flow meter, and pressure sensor data across the network

2

Optimise operations

AI recommends valve positions, pump configurations, and tank levels to balance service and cost

3

Respond to events

Automated network reconfiguration for bursts, planned maintenance, and demand surges

Sources

Originally published: Veolia — Smart Water Networks; Suez — Digital Water Solutions — reproduced for illustrative purposes

Audit and regulatory documentation

Traceable decision records for water regulator inquiries.

ROI

Audit prep time−70%
Regulatory submissions45% faster
Traceability100%

Process

1

Capture decision data

Every AI-assisted operational and quality decision logged with data inputs, model outputs, and operator actions

2

Structure for audit

Records organised by asset, regulation, and time period for rapid retrieval during inquiries

3

Enable rapid response

Compliance team can answer Ofwat, DWI, EPA, and environmental regulator inquiries in hours

Sources

Originally published: Thames Water — Governance & Compliance; American Water — Regulatory Documentation — reproduced for illustrative purposes

Cathryn Ross

Chief Strategy & Regulatory Affairs Officer, Thames Water

Cathryn Ross

"Thames Water has deployed AI-driven leak detection across our distribution network. We reduced leakage by 15 percent in pilot zones by identifying and prioritising repairs based on predicted leak severity rather than reported volume alone. In a network losing 600 million litres per day, every percentage point of leakage reduction is worth millions in avoided abstraction costs and regulatory penalties"

Originally published: Thames Water — Leakage Performance — reproduced for illustrative purposes

01 / 04

How we work in water and waste utility environments

We do not deploy AI into water and waste operations without first understanding what a failure means — in public health terms, in service terms, and in regulatory terms. We map your use case to your operating licence conditions and environmental obligations before we write code.

Every agent runs on your cloud tenant. Your SCADA data, your water quality records, your network models — none of it leaves your environment. Your environmental regulators, your economic regulators, and your public health agencies can inspect the system directly.

01

Operational risk mapping

We identify your use case, assess its public health, environmental, and regulatory implications, and define the governance framework before any build begins.

02

30-day proof of concept

A working AI agent on your cloud, connected to your SCADA and network monitoring systems, with demonstrable output in 30 days.

03

Governance by design

Human-in-the-loop controls, audit trails, and explainable outputs — built so your drinking water and environmental regulators can sign off.

04

Scale in 12–18 weeks

From one validated workflow to measurable operational ROI — with documentation your compliance team can present to Ofwat, the DWI, EPA, or your national regulator.

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