Modernising engineering practices for greater efficiency and lower costs

The energy and utilities sector stands at a crossroads. With sustainability targets tightening, technology evolving at an unprecedented pace, and regulatory pressures mounting, companies face growing urgency to modernise.

By Hari Krishnamurthy, Global Head of Energy Transition and Utilities Industry, Capgemini Engineering

Clinging to outdated engineering practices isn’t just inefficient - it’s costly. Organisations that fail to adapt risk increased overheads, operational inefficiencies, and a loss of competitive edge.

However, modernisation doesn’t have to be overwhelming. By integrating digital and physical engineering practices, businesses can enhance efficiency, reduce costs, and achieve sustainability goals.

The key lies in taking a strategic approach and selecting the right combination of technologies. While the best strategy will vary across organisations, all must strike a balance between innovation, sustainability, and cost management.

Have you read?
European Energy Briefs – Grids in the spotlight
AI observatory to be launched by IEA

Why digital transformation is non-negotiable

At the heart of modern engineering is digital transformation.

AI, machine learning, and the Internet of Things (IoT) are reshaping operations, making processes smarter and faster.

Take AI-powered predictive maintenance, for example. Instead of waiting for equipment failures - leading to costly downtime. AI algorithms can detect potential issues before they occur. This proactive approach results in fewer breakdowns, lower repair costs, and overall smoother operations.

Despite the advantages, many companies are still lagging.

According to Capgemini’s latest survey on engineering and R&D trends, only 35% of engineering firms consider their capabilities to be ahead of their competitors. Yet, 70% aim to scale digital engineering initiatives within the next three years, highlighting a gap between ambition and execution.

To bridge this divide, leaders must focus on seamless integration of emerging technologies like AI into existing systems. Without proper integration, transformation efforts risk being incomplete - cracks will surface before long.

When modernising, companies must also consider energy consumption.

AI and cloud computing drive efficiency, but they come with a cost. The demand for data centres is soaring, and their energy requirements are significant. In Ireland, for instance, data centres already consume 21% of the country’s total electricity (Central Statistics Office). To balance innovation with sustainability, organisations must invest in energy-efficient infrastructure powered by renewable energy sources.

Smarter grids, smarter spending

Traditional power grids are struggling to keep pace with evolving energy demands, especially as renewables play a larger role. This challenge has accelerated the shift toward smart grids, which leverage real-time data, automation, and AI algorithms to optimise energy distribution.

Utilities are already moving in this direction. Many are investing in green hydrogen and offshore wind, making renewable energy more affordable and accessible.

Meanwhile, companies across North America and Europe are deploying AI-driven forecasting tools to better balance energy supply and demand.

A well-executed smart grid not only enhances reliability and customer satisfaction but also reduces costs. With improved load balancing and real-time demand response, companies can prevent outages and cut energy waste - leading to a more efficient and resilient energy system.

Also of interest:
India’s Adani Group to open $230m academy with focus on next gen green skills
How people are powering progress in the energy transition

The secret weapon of modern engineering

Technology is critical, but the way teams operate is just as important.

Agile methodologies -originally from software development - are now transforming engineering. Instead of rigid, slow-moving workflows, Agile promotes flexibility, rapid decision-making, and continuous improvement.

Frameworks like Scrum and Kanban allow teams to break down large projects into smaller, manageable tasks, enabling real-time testing and refinement. This agility prevents projects from getting stuck in prolonged cycles and fosters innovation.

Business leaders are taking note. A growing number recognise agility as a strategic advantage: 33% believe it directly reduces costs, while 29% say it accelerates time-to-market.

In an industry where delays can be costly, the ability to pivot quickly is a game-changer.

Investing in collaboration and workforce development

Even the most advanced technologies won’t deliver results if teams aren’t aligned, trained, and empowered to use them effectively.

Cross-functional collaboration is now more crucial than ever. Organisations that encourage open communication and knowledge sharing see better project outcomes and faster innovation.

However, a significant skills gap remains.

While most companies acknowledge the need for digital transformation, 27% lack confidence in their current digital engineering capabilities. Bridging this gap requires investments in training programmes, AI-powered learning tools, and continuous education.

It’s not just about skill-building—companies that prioritise employee development benefit from higher retention, greater job satisfaction, and improved productivity.

To scale expertise efficiently, some enterprises are turning to external engineering service providers, allowing them to tap into specialised skills as needed while keeping pace with industry demands.

Read more: AI in Europe’s energy sector – working towards a common understanding

The backbone of scalable engineering

Cloud computing is the technology that ties everything together. Cloud-based infrastructure enables organisations to scale operations dynamically without heavy upfront investments. It also fosters seamless collaboration among global teams and facilitates data-driven decision-making.

For example, leading utilities are starting to leverage cloud-based grid analytics to optimise energy distribution and support renewable integration. By scaling resources in real-time, they match capacity to demand while keeping costs under control.

Beyond cost savings, cloud platforms serve as a central hub for engineering teams to collaborate, share data, and extract AI-powered insights. For large-scale projects involving multiple stakeholders, a unified, cloud-based system is a game-changer.

Achieving sustainable, cost-effective engineering

Modernising engineering isn’t just about cutting costs or adopting the latest technology - it’s about building a smarter, more resilient future.

Companies that take a proactive approach will be better positioned to handle growing energy demands, evolving regulations, and rising customer expectations.

However, modernisation is not a one-time fix - it’s an ongoing process. The most successful companies will be those that remain adaptable, continuously investing in innovation, collaboration, and workforce development.

Engineering is no longer just about maintaining infrastructure; it’s about leveraging both human and artificial intelligence to create efficient, future-ready systems.

As industries forge ahead, the true differentiator won’t just be the technology itself - but how well organisations integrate it within a strategic framework. Companies that master this balance will lead the way in shaping the next era of innovation.