As artificial intelligence, predictive maintenance and digital transformation continue to reshape industry, many organisations are questioning how best to modernise their maintenance strategies. Donal Bourke, Managing Director of Eleco Asset Management, explains why successful asset management is not about chasing technology trends, but about building strong operational foundations that enable organisations to evolve with confidence.
The maintenance and asset man agement landscape is undergoing a period of significant transforma tion. Organisations across manu facturing, utilities, infrastructure and other asset intensive sectors are facing growing pressure to improve reliability, reduce costs, meet sustainability targets and embrace new technologies. At the centre of this evolution sits Eleco Asset Management, bringing together decades of expertise through solutions including Shire System and PEMAC. For Donal Bourke, Managing Director of Eleco Asset Management, the challenge is not simply about delivering software.
It is about helping or ganisations understand where they are today and identifying the most effective path towards greater maintenance maturity and operational excellence. According to Bourke, one of the strengths of the Eleco Asset Manage ment portfolio is its ability to support organisations at different stages of their maintenance journey. Some businesses are still heavily reliant on reactive maintenance practices, while others have developed ma ture preventive maintenance programmes and are now exploring con dition monitoring, predictive maintenance and artificial intelligence. The key, he explains, is recognising that there is no universal model for success. Every organisation operates within its own regulatory environment, culture and operational constraints. As a result, asset management strategies must be tailored to individual circumstances rather than forcing businesses into a predefined framework.
Despite the excitement surrounding emerging technologies, Bourke be lieves many organisations continue to face fundamental maintenance challenges. Ageing infrastructure, increasing compliance obligations, skills shortages and rising operating costs remain common concerns across multiple industries. At the same time, organisations are under pressure to adopt digital technologies and modern maintenance approaches. While these inno vations offer significant potential, Bourke cautions against focusing on advanced capabilities before addressing the basics. He frequently encounters organisations that have yet to standardise maintenance processes,
struggle to complete preventive maintenance activities consistently or lack reliable asset data. In these situations, introducing advanced technologies often creates additional complexity rather than delivering meaningful benefits. The most successful organisations, he argues, focus first on discipline, process and data quality. Once these foundations are established, tech nology becomes a powerful enabler capable of accelerating improve ment and supporting better decision making. Artificial intelligence has become one of the most discussed topics within maintenance and asset management.
While Bourke acknowledges its potential, he is careful to avoid overstating its capabilities. He believes many organisations are currently more focused on AI capability than AI readiness. The dis tinction is important. Artificial intelligence relies on structured processes, quality data and consistent behaviours. Without these foundations, even the most sophisticated AI tools will struggle to deliver reliable outcomes. Maintenance teams must therefore consider whether their organisation is genuinely prepared to benefit from AI. Robust maintenance processes, well structured asset hierarchies, effective data governance and strong workforce engagement all play a crucial role in determining success. Equally important is the human element. Main tenance technicians must consistently capture meaningful information about the work they perform. Procedures must be followed and systems must be used correctly. If data quality suffers, artificial intelligence simply magnifies existing weaknesses. Bourke describes AI adoption as a journey rather than a destination. Rather than asking what AI fea Page - 8 | June/July 2026 - engineeringmaintenance.info believes significant gains can also be achieved through better mainte nance practices.
Operational excellence and sustainability, he argues, are far more closely linked than many organisations realise. Looking ahead, Bourke believes the most successful asset manage ment organisations will be those capable of balancing operational discipline with a willingness to embrace change. Strong maintenance processes, trusted data and effective governance will remain essential foundations. At the same time, organisations must be prepared to adopt technologies that genuinely improve decision making and workforce effectiveness. tures they need, organisations should first assess whether they possess the operational maturity required to take advantage of them. He also highlights an important distinction between AI enhanced and AI enabled environments. In AI enhanced environments, people remain at the centre of decision making while artificial intelligence improves efficiency.
Examples include automatically triggering maintenance workflows when condition monitoring systems identify potential issues. AI enabled environments represent a more advanced stage of maturity. In these situations, artificial intelligence takes on a greater share of structured activities, analysing maintenance history, identifying recurring failure patterns and generating recommendations based on historical outcomes. Predictive maintenance is another area often surrounded by miscon ceptions. Bourke argues that many organisations are closer to achiev ing predictive maintenance than they realise. Modern industrial facilities already generate vast quantities of oper ational data through SCADA systems, equipment sensors, IoT devices and condition monitoring technologies. The challenge is not neces sarily collecting the information but determining what happens when anomalies are detected.
Successful predictive maintenance depends on the ability to convert operational insights into effective maintenance actions. Maintenance activities must be prioritised, work orders generated and planners pro vided with the information required to intervene before failures occur. In many respects, predictive maintenance is as much a workflow challenge as it is a technology challenge. The organisations achieving the greatest success are those that integrate operational intelligence directly into maintenance execution processes. Ultimately, the future of asset management is not about choosing between people and technology. It is about creating an environment where both can perform at their best. For organisations willing to focus on fundamentals while embracing innovation responsibly, the next era of asset management offers significant opportuni ties to improve reliability, efficiency and long term business performance.
www.eleco.com/ pemac Customer expectations are also changing rapidly. Businesses increasingly expect maintenance software to be intuitive, con figurable and capable of integrating seamlessly into existing environments. Rather than focusing exclusively on functionality, customers are increasingly evaluating outcomes. They want to under stand how quickly value can be realised, how reliability can be improved and how systems can support compliance requirements while reducing administrative burden. For Bourke, this shift reflects a broader trend within asset management. Organisations are no longer investing in software simply to digitise existing processes.
They are seeking measurable improvements in reliability, planning effectiveness, decision making and workforce productivity. Sustainability is another area where maintenance plays a critical role. Well maintained assets operate more efficiently, consume less energy and often remain productive for longer periods. Effective main tenance strategies reduce unnecessary downtime, minimise premature equipment replacement and optimise spare parts consumption. While sustainability initiatives are often associated with large scale capital investments, Bourke believes significant gains can also be achieved through better mainte nance practices. Operational excellence and sustainability, he argues, are far more closely linked than many organisations realise.
Looking ahead, Bourke believes the most successful asset manage ment organisations will be those capable of balancing operational discipline with a willingness to embrace change. Strong maintenance processes, trusted data and effective governance will remain essential foundations. At the same time, organisations must be prepared to adopt technologies that genuinely improve decision making and workforce effectiveness.
Ultimately, the future of asset management is not about choosing between people and technology. It is about creating an environment where both can perform at their best. For organisations willing to focus on fundamentals while embracing innovation responsibly, the next era of asset management offers significant opportuni ties to improve reliability, efficiency and long term business performance.
