For water companies

Improve operational performance with data and AI.

We help water companies make faster, more informed decisions, reduce manual effort and improve visibility across operations, assets, customers and delivery. We do that by connecting data, automating work and building analytics, applications and AI capability around the way the organisation operates.

Circular clarifier tank at a water treatment works

The operational challenge

Water companies rarely lack data. The harder problem is getting the right information into the hands of the people making decisions, early enough and at a quality they can trust.

Asset, customer, operational and delivery data often sits across different systems, teams and partners. Reporting can depend on manual work, important signals are easy to miss, and decisions are made with only part of the picture.

At the same time, expectations are rising. Teams need to improve performance, make investment decisions that stand up to scrutiny, respond faster when conditions change and show clear evidence of what is happening across the operation.

Better use of data, automation and AI can help, but only when it is built around the way the organisation actually works.

A street drain overwhelmed by heavy rainfall

Predictive modelling in practice

Across a sewer network of around 40,000km, we used eight years of operational demand data to help forecast workload before it arrived.

The model supported a 20% reduction in team size and associated costs, while giving the operation a stronger evidence base for planning around weather-driven demand.

~40,000km of sewer network covered
65,000 maintenance calls handled each year
8 years of operational demand data
20% reduction in team size and associated costs

Read the case study →

What data and AI make possible

Used well, data and AI can help teams see what is coming, remove unnecessary work and make decisions with a clearer picture of the operation.

Anticipate demand and risk

Use forecasting and predictive models to identify likely pressure before it becomes visible through traditional reporting, giving teams more time to plan and respond.

Automate work between systems and teams

Reduce manual processing, handoffs and rekeying by building reliable workflows around existing systems and the way work actually moves through the organisation.

Make better operational decisions with analytics and AI

Bring together the right data, models and tools to support decisions with better evidence. Where AI has a useful role, we can help identify the opportunity, shape the strategy and carry it through into practical applications and workflows.

Practical to work with

Water-sector understanding and technical delivery need to stay connected if technology is going to improve the operation in practice. That principle shapes how we work.

Understanding water from day one

From strategy through to implementation

Senior people stay involved

Our senior team brings direct water and infrastructure experience, so we start with an understanding of the operating environment, the delivery context and the scrutiny that decisions and reporting need to withstand.

We can support the work from early strategy through data foundations, integration and automation to analytics, AI, reporting and applications. The people shaping the approach stay close to delivery as the solution develops.

RGA is deliberately hands-on. Senior people remain involved throughout the engagement, working directly with client teams rather than passing the work through layers of delivery management.

RGA also holds relevant accreditations including Achilles UVDB, Cyber Essentials and ISO 9001 certification, supporting the assurance and security expectations of organisations operating critical infrastructure.

Talk to RGA

If you're looking at how data, automation or AI could improve operational performance, asset decisions, delivery or assurance, talk to us about what you're working on.

Talk to RGA