Man looking at the camera
Ryan Pearson is head of business development at Metasphere, a Grundfos company.

By Ryan Pearson of water technology firm Metasphere.

The Independent Water Commission’s (IWC) Final Report, delivered in July 2025, is being called the water sector’s 21st century “Great Stink” moment.

For a multi-billion-pound industry defined by challenges including sewage spills, failing infrastructure, and the confirmed abolition of its economic regulator, Ofwat – the model of reactive management is officially obsolete.

The IWC’s 88 detailed recommendations for the way the sector operates in England and Wales are defined as a “fundamental reset.” This vision has been codified in the Government’s recent Water Sector Reform White Paper, providing the definitive legislative roadmap for the most radical structural overhaul since privatisation.

The question for every water company CEO and asset director is no longer if reform is coming, but how to deliver the proactive compliance, resilience and accountability the public and the new regulatory framework demand.

The answer lies not in policy alone, but in technology. I believe the single, unifying shift required to successfully execute this reset is moving decisively from retrospective analysis to actionable foresight. This means leveraging predictive, data-driven intelligence as the indispensable foundation upon which strategic planning, proactive intervention, and renewed public trust will be built.

Proactive supervision
A cornerstone of the regulatory reform is the transition away from a purely economic, benchmarking-focused model – moving towards a ‘supervisory approach’ to regulating individual companies, a model often seen in financial services.

This is now being delivered. The UK Government has confirmed it will abolish Ofwat and bring the functions of multiple regulators in England (including economic, environmental, and drinking water) into a single, powerful new supervisory body.

The White Paper formalises this transition, shifting the burden of proof onto water companies to demonstrate “operational mastery” through live data feeds. It explicitly links a company’s license to operate with its ability to provide high-fidelity, transparent reporting – effectively turning the White Paper’s policy objectives into a technical requirement for every asset manager in the country.

To achieve this proactive supervisory model, water companies must first master three technological pillars: Anticipation, Prediction, and Integration.

1. Anticipation
The first step in proactive management is understanding the external factors impacting the network. With increasing global warming effects, infrastructure growth – including housing and data centres – along with ageing assets, historical data is no longer a sufficient predictor of a network’s ability to handle increasingly volatile weather patterns.

Operators need access to global-scale radar and satellite data, combined with integrated, formalised Flood Estimation Handbook (FEH) analysis. This capability allows companies to accurately calculate the magnitude of any rainfall event for specified durations.

It provides the consistent, industry-standard reporting that is essential for compliance and, more critically, moves flood and network management from post-event analysis to real-time, pre-emptive action. Localised rainfall monitoring stations provide the necessary ground-truthing to verify satellite data, enabling appropriate operational reaction in near-real-time.

2. Prediction
Once comprehensive rainfall data is established, it must be combined with network monitoring sensors and telemetry to provide critical foresight. This is where intelligent analytics and advanced artificial intelligence (AI) algorithms become non-negotiable operational tools.

Technologies utilising AI, including machine learning, move operational procedures from reactive intervention to targeted, intelligence-led interventions. These algorithms can anticipate and identify potential sewer blockages and spills of stormwater and wastewater before they occur, while also providing a data-driven asset risk framework for future planning.

This ability to deliver hyper-accurate forecasting and precise intervention directly aligns with the IWC’s call for early action, allowing preventative maintenance or intervention to supersede reactive fixes.

For long-term resilience, the creation of digital twins, that accurately mirror the physical network are vital. Digital twins enable highly accurate scenario planning -modelling the impact of factors like population growth and climate change – and support informed infrastructure investment decisions over the long-term horizon – 10 and 25 years.

Aerial view of circular clarification tanks at a water treatment plant

3. Integration
The transparency and accountability demanded by the IWC cannot exist while critical operational data remains locked within departmental siloes. This mandate has been reinforced by the Government’s commitment to ending operator self-monitoring and rolling out real-time, publicly available data across the wastewater network.

Technology that allows for seamless data unification is crucial. This involves integrating telemetry and analytics platforms with existing operational systems — SCADA (supervisory control and data acquisition), GIS (geographic information systems), billing, and work order management systems. This creates a unified operational picture, promoting cross-departmental collaboration and ensuring all stakeholders, from the control room to the board, have access to the same, consistent, data-driven insights. This foundational integrity is a key component of the transparency the IWC report demands.

Cost of reacting
The IWC Report is a direct reflection of the fact that the financial and operational cost of reactive intervention is no longer tenable across the UK water sector. The penalties for persistent underperformance are rising:

  • Financial penalties: High and increasing fines from regulators for pollution incidents. The government has confirmed that over £100 million in fines and penalties levied against water companies since October 2023 will be reinvested into local environmental projects.
  • Direct operational expenditure (OPEX): Emergency callouts, overtime, and the logistical nightmare of responding to network failures represent a persistent drain on resources. While basic emergency callout fees are high, they do not account for the specialised labour, equipment, and overtime costs associated with large-scale network failures.
  • Cost of underperformance: Financial penalties imposed by Ofwat for failing to meet service targets are significant. Ofwat’s 2023-24 report states that water companies reported a net sector underperformance payment of £157.6 million. This is a direct financial penalty for failing to meet performance commitments on metrics like pollution incidents and internal sewer flooding.
  • Hidden costs: The enduring damage to public perception and brand reputation. The long-term costs of underinvestment lead to a perpetual cycle of fixing, instead of improving, infrastructure resilience.

Predictive analytics and insights made possible by the installation of real-time internet-of-things (IoT) devices across the network and asset base are an economic necessity. They are designed to reduce incident frequency and severity to an absolute minimum – reversing the cycle of reactive financial and reputational damage.

Resilient outcomes
The success of the Mansfield Sustainable Flood Resilience project undertaken by Severn Trent Water (STW) provides a clear, practical example of the proactive, data-driven approach the IWC is now mandating.

The scheme successfully combined green space creation with technology. STW deployed smart level monitoring solutions, using contactless radar sensors, to track the rate at which rainwater infiltrates the sewer network. This critical level data, available in near real-time, allowed for the proactive management of the wastewater network.

This effort resulted in the town gaining more than 59 million litres of additional surface water storage capacity, while simultaneously reducing flood risk for 90,000 residents.

The project demonstrates that by embedding data collection, management, and visualisation into the design of flood resilience schemes, utilities can create resilient urban spaces that deliver cleaner, greener outcomes.

De-risking innovation
The IWC report correctly identifies that an outdated, “overly complex and prescriptive” legislative framework and an ingrained risk-averse culture have acted as a significant brake on innovation within the water sector. While regulatory sandboxes are a suggested part of the solution, the industry also needs practical, accessible pathways to drive innovation from the ground up.

A major barrier to technology adoption is the perceived risk and complexity of a large-scale, ’big bang’ overhaul. The most strategic way to address this is by adopting a tiered, modular approach to innovation.

This framework allows companies to adopt a new, data-driven approach at their own pace, making the transition manageable and reducing perceived risk. A utility can strategically progress through stages: starting with core telemetry for data and event analysis, moving to a proactive management system, and finally scaling up to an advanced option for hyper-optimised operations and strategic planning.

This modularity de-risks the innovation process, allowing organisations to demonstrate value and build internal confidence with each successful step. More crucially, it helps accelerate the shift in industry mindset—from reacting to problems like pollution incidents to proactively predicting and preventing them.

Data first
The IWC Final Report and the subsequent Government White Paper constitute a clear mandate for change that cannot be ignored. The choice for water companies is no longer between reactive and proactive management; the Commission has made it clear that a proactive, data-driven approach is the only viable path forward to a resilient, compliant, and trusted water sector.

The high costs of reactivity are no longer sustainable. Leveraging cutting-edge technologies, such as advanced AI algorithms for hyper-accurate forecasting and the creation of digital twins for scenario planning, is not future thinking — it is the present operational requirement.

These tools empower engineers and asset managers to move from scheduled, calendar-based maintenance, to targeted, condition-based interventions. By embracing the technologies required for predictive maintenance, hyper-accurate forecasting and integrated network intelligence, the sector will be best placed to meet the IWC’s core demands: early intervention, a deep understanding of assets and the ability to plan strategically for the next quarter-century.

To secure the future of the water sector, the industry must now move beyond the backstop of backward-looking failure and embrace the power of foresight.