The Challenge
Key Challenges in Managing Leakage Across UK Water Networks
UK water companies face a complex and evolving set of challenges in delivering consistent, sustainable leakage reduction. These can be broadly summarised as follows:
1. Recruitment and Skills Shortage
There is a limited pool of experienced leakage technicians, with an ageing workforce and increasing competition across the sector. This makes it difficult to scale delivery at pace, particularly during peak investment periods.
2. Retention and Workforce Stability
High attrition rates and a transient contractor workforce can lead to inconsistency in capability, loss of knowledge, and increased training overheads, impacting overall performance and cost efficiency.
3. Performance Management and Assurance
Traditional approaches rely heavily on manual processes and individual competency, making it challenging to ensure surveys are completed thoroughly, consistently, and to the required standard. Visibility of field performance is often limited.
4. Detection Efficiency and Variability
Leak detection outcomes can vary significantly depending on technician experience, environmental conditions, and methodology. This inconsistency can lead to missed leaks, lower productivity, and reduced return on investment.
5. Data Capture, Quality, and Insight
Data is often fragmented, inconsistently captured, or not easily integrated into wider systems. This limits the ability to generate actionable insights, optimise targeting, and demonstrate performance outcomes.
Our Approach
Our approach with iQ transforms leakage management from a skills-dependent, variable process into a standardised, data-led and scalable solution.
Jordan Ramsden – Leakage Technician
“Joining Aqualogic and using the AQS iQuarius technology has been a great step in my water career. The role and technology have given me the opportunity to develop my knowledge and technical skills whilst also contributing to leak detection and water conservation. Using iQuarius has given me hands on experience and strengthened my understanding of the water sector, opened new opportunities for development and professional growth.”
Iain McKenna – Leakage Technician
“iQ was a great way for me to get started in the water industry. It gave me the opportunity to learn practical leak detection skills, build my confidence on site, and gain hands-on experience with industry-standard equipment. Using the system helped me develop a better understanding of the job and provided a solid foundation for progressing further within the industry.”
THE RESULTS
7 million digital samples collected and analysed across the UK
25,000 points of interest generated
15,000leaks confirmed
What this proves
At its core, iQ combines advanced acoustic technology with structured digital workflows to enable:
Instant capability
Field operatives—regardless of prior leakage experience—can deliver high-quality, reliable surveys from day one, significantly reducing training time and reliance on scarce skilled resource.
Consistent, repeatable performance
Surveys are completed in a standardised way, ensuring consistent detection outcomes across all teams and locations, removing variability driven by individual capability.
Full operational visibility and assurance
Every activity is traceable, giving managers confidence that surveys are being completed correctly, thoroughly, and to the required standard, with clear performance oversight.
Improved detection efficiency
The combination of technology and structured approach increases the likelihood of finding leaks while reducing missed opportunities and inefficient coverage.
Enhanced data capture and insight
Beyond leak detection, iQ enables the systematic capture of asset, network, and customer data during surveys, creating a richer dataset to inform wider operational decisions.
Wider value creation
The approach turns routine leakage surveys into a broader network intelligence activity—supporting asset verification, network understanding, and customer insight alongside leakage reduction.
iQ enables a shift from reactive, people-dependent leakage detection to a proactive, technology-enabled and insight-driven model, improving performance, scalability, and long-term network resilience.
