AI can help utilities move from reactive asset maintenance to earlier intervention, using sensors, drones, satellite imagery and operational data to improve inspections, spot risks sooner, and build more resilient networks.

Utilities don’t need another reminder that the pressure is mounting. Across water, electricity, and gas, the challenge is familiar: keep services running, cut costs, build resilience and meet tougher environmental targets, all while dealing with ageing assets, more volatile weather and increasingly complex operations.

For years, asset-intensive organisations have relied on scheduled inspections, planned maintenance and the judgement of experienced frontline teams to keep networks performing. Those fundamentals still matter. But on their own, they’re no longer enough.

The opportunity now is to build a more continuous picture of asset health, using AI to spot risk earlier, prioritise the right interventions, and give teams better evidence for the decisions they already have to make.

Done well, this moves utilities beyond simply recording what has happened. It helps them understand what is happening now, what is likely to happen next, and where action will make the biggest difference.

How is AI changing asset inspection and asset management in utilities?

Utilities already have more data than they can easily use. Sensors, telemetry, smart devices, drones, cameras and enterprise systems are creating a fuller picture of asset condition and network performance. The harder task is turning that picture into decisions teams can act on.

AI can analyse vast amounts of information from multiple sources simultaneously, identifying patterns, anomalies and risks that would be difficult to detect through manual analysis alone. Rather than relying solely on periodic inspections, utilities can increasingly monitor asset health continuously and focus intervention where it is needed most.

Combined with drone technology, satellite imagery and remote monitoring solutions, AI can help organisations inspect more assets, more frequently and at lower cost. With human oversight and the right guardrails, AI agents can analyse inspection data, flag anomalies, generate first-draft reports and support predictive maintenance decisions. The result is a shift from reactive asset management towards more proactive, evidence-led operations.

From asset visibility to operational intelligence in utilities

Many utilities have already invested in digital technologies and connected infrastructure. The next step is creating an integrated view across assets, operations and engineering functions.

Capgemini’s Intelligent Operations approach brings these elements together: AI-driven operations, digital twins, advanced control rooms and Connected Engineer capabilities. The aim is not simply to add more digital tools, but to create a more responsive operating model where asset, operational and workforce decisions are better connected.

This intelligence supports better operational decisions, improved maintenance planning and earlier intervention before issues affect customers or the environment.

Making AI real in utility operations and maintenance

Working with Scottish Water, Capgemini helped provide real-time access to operational data using existing infrastructure, connected sensors and IoT technologies. This gave teams better visibility across wastewater operations, enabling earlier intervention in the asset failure lifecycle while supporting reductions in energy consumption, emissions and intervention costs. It also helped extend asset life.

With several clients, we are also exploring how AI, geospatial analytics, drone technologies and satellite intelligence could support faster leakage management. By helping teams identify areas of interest and improve leak localisation, these technologies have the potential to reduce the time needed to investigate and respond to potential leakage events.

As AI models mature and more operational data becomes available, the opportunity extends far beyond leak detection. Future use cases include asset health management, risk-based investment planning, climate resilience and intelligent network operations.

The role of the Connected Engineer in utility field operations

Technology alone will not transform operations. The value comes when AI gives frontline teams faster access to the context they need, at the point they need it. Engineers often have to pull information from multiple systems while making decisions in the field, so finding the right information quickly can be as important as the information itself.

Capgemini’s Connected Engineer approach focuses on providing digital tools, AI-powered insights and operational knowledge directly to the workforce. This helps reduce time spent searching for information and enables engineers to make more informed decisions when and where they are needed.

The principle is already visible in Capgemini’s work with Scottish Water. Through the SWIFT programme, Scottish Water redesigned its field force lifecycle, systems and processes to give teams better visibility of jobs in the field and reduce manual workarounds. The result was more data-driven field services, with first-time fix rates rising from 49% to 62% and asset maintenance efficiency improving by 13%.

Recent discovery work with a major UK water and wastewater organisation showed how much value can be unlocked by improving access to operational knowledge. Across site visits, interviews with employees from multiple functions and analysis of more than 100 jobs-to-be-done, asset intelligence and document search emerged as the highest-priority AI use cases.

The resulting concept, an AI-powered digital assistant for operational teams, would bring together site, asset and process information in one place, giving field teams faster access to the context they need before they arrive on site. At scale, this could reduce time spent searching for operational information, unlock hundreds of thousands of productivity hours and create a stronger foundation for more consistent, AI-enabled operations.

What’s next for AI-powered utility asset management?

Utility operations will increasingly depend on how well organisations turn operational data into decisions, and decisions into action. AI-powered asset intelligence can help utilities move from periodic assessment to continuous awareness, from reactive response to earlier intervention, and from isolated data sources to more connected decision-making.

The utilities that succeed will not necessarily be those with the most data. They will be those that can transform data into insight and insight into action fastest.

How Capgemini helps utilities scale AI-enabled operations

Capgemini helps utilities move from isolated digital use cases to intelligent operations that are easier to scale, adopt and measure. By combining deep industry expertise with proven capabilities across asset intelligence, Connected Engineer, digital twins and AI-driven operations, we help organisations improve resilience, optimise performance and unlock greater value from their infrastructure investments.

Together, we can help build the intelligent, sustainable, and resilient utility networks needed to respond to the climate and geopolitical uncertainty that will only intensify in the years to come.