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EEMUA 191 and the Future of Alarm Management: Engineering, Operations and AI
What industry discussions reveal about collaboration, AI adoption, and the changing role of alarms.
JAMES FOX
APRIL 2026
EEMUA 191 Alarm Management: A Discipline Reaching Maturity
I recently had the pleasure of attending the EEMUA 191 Alarm Management seminar, an event that brought together a broad cross-section of industry practitioners, each contributing perspectives shaped by real operational experience. What stood out was not only the quality of discussion, but the sense that alarm management is entering a new phase of maturity.
EEMUA 191 is one of the leading alarm management guides for industrial alarm systems. It helps engineering and operations teams design, manage and improve alarm systems so operators receive clear, timely and actionable alarms rather than noise.
The current Fourth Edition, published in 2024, updates the guidance structure, aligns terminology with ISA-18.2 and IEC 62682, and adds material for remote sites.
For engineering and operations teams, EEMUA 191 is not just a compliance reference. It is a practical framework for reducing nuisance alarms, improving operator response, measuring alarm performance and creating a safer foundation for AI-assisted alarm insight.
Why EEMUA 191 Alarm Management Starts with Engineering and Operations Alignment
Across the presentations and Q&A sessions, a number of consistent themes emerged. One of the most prominent was the relationship between engineering and operations, particularly in the context of new projects. Examples were shared where misalignment at the design or implementation stage led to downstream alarm challenges, often requiring significant effort to correct once systems were live.
There is a growing appreciation that alarm management cannot be treated as a downstream activity. Instead, it needs to be considered much earlier, with engineering and operations working in closer partnership from the outset. This is not simply about reducing nuisance alarms, but about ensuring that what is implemented is meaningful, manageable, and aligned with how systems are actually operated. The benefits are clear: fewer issues later, smoother project delivery, and ultimately a more effective alarm system.
How AI Is Changing EEMUA 191 Alarm Management
EEMUA 191 provides the good-practice foundation for effective alarm management. AI does not replace those principles; instead, it creates new opportunities to build on them through faster analysis, prioritisation and insight.
Alongside this, there was a noticeable shift in how AI is being discussed within the context of alarm management. Not long ago, conversations around AI in industrial settings were often cautious, sometimes even skeptical. At this event, however, the tone has changed. The question is no longer whether AI has a role to play, but how it can be applied in a way that is both practical and trustworthy.
There was strong agreement around the fundamentals required to make AI effective. Clean, structured, and contextualized data remains critical, not only to improve accuracy but to ensure that outputs are meaningful and actionable. Equally important is the role of human oversight. While AI can support analysis, prioritization, and insight, there is still an expectation that humans remain involved in interpretation and decision-making, at least in the short term.
What was particularly interesting was the shift in mindset. Organizations that had previously taken a cautious stance are now beginning to explore AI more actively. There is a growing willingness to test, learn, and understand where value can be realized. This does not mean abandoning caution, but rather balancing it with curiosity and a recognition that the technology is advancing quickly.
Turning Alarm Management Insight into Action
In this context, there was growing interest in how AI could be applied in a practical way within alarm management. Conversations often returned to the challenge of moving beyond insight alone, towards approaches that connect analysis with action in a structured and controlled way. AI has the potential to act as an accelerator in this process, helping to surface patterns more quickly, prioritize effort, and provide a richer, more detailed understanding to support effective action. It reflects a broader need to move from observation to controlled improvement.
It was also interesting to see how these ideas are beginning to take shape in practice. The introduction of an AI gateway sparked a number of conversations, not just about capability, but about how such approaches can be applied in a controlled and meaningful way within existing environments.
What Changed in EEMUA 191 Edition 4?
Much of what was discussed aligns closely with our own thinking. But before looking at where alarm management is heading, it is useful to be clear about what changed in the Fourth Edition itself.
EEMUA 191 Edition 4 was comprehensively updated and restructured to make the guidance easier to use. The terminology was brought into closer alignment with current alarm management standards, while new material was added for remote sites.
The revision also reinforces several practical areas of alarm management:
greater emphasis on having a robust alarm philosophy for each process facility;
clearer distinctions between alarms, alerts and operator prompts;
adoption of the Highly Managed Alarm concept used in IEC 62682;
revised guidance around alarm prioritization; and
greater emphasis on formal alarm rationalization.
For engineering and operations teams, the significance is not that EEMUA 191 has changed direction. Rather, Edition 4 makes established good practice clearer and easier to apply consistently. It reinforces the importance of strong governance, disciplined rationalization and a shared understanding of what each alarm is intended to achieve.
For quite a few years now, we have been on a journey to rethink how alarm management can deliver greater value, combining analytics with strong governance to ensure insight leads to controlled, auditable improvement. It is one thing to feel you are moving in the right direction, but another to see those themes reflected in evolving guidance and wider industry thinking.
The seminar discussions also highlighted growing interest in how emerging technologies, including AI, can support alarm management. That does not make AI part of EEMUA 191 itself. Instead, it reinforces the importance of strong alarm management foundations if new technologies are to be applied in a controlled and meaningful way.
There is increasing recognition that alarm management standards and guidelines need to remain useful as technology, data availability and operational expectations continue to change.
Why Regulated Industries Need Stronger Alarm Management
This shift is particularly evident in sectors such as water, where regulatory pressure and operational complexity continue to increase. Organizations are being asked to do more, with greater accountability and transparency, while managing ageing infrastructure and constrained resources. In this environment, traditional approaches to alarm management can only go so far. There is a growing need for solutions that are scalable, resilient, and capable of providing deeper insight.
From Alarm Management Compliance to Strategic Operational Value
This brings us to perhaps the most significant underlying theme of the event: the changing perception of alarms themselves.
Historically, alarm management has often been framed in terms of compliance. The focus has been on meeting standards, reducing alarm floods, and ensuring that systems meet defined performance metrics. While these remain important, they are increasingly seen as the baseline rather than the end goal.
What is emerging instead is a view of alarms as a strategic asset.
Alarms represent a continuous stream of operational data, capturing not just what is happening, but often why it is happening. When structured and analysed effectively, this data can provide valuable insight into process behaviour, equipment performance, and underlying issues. It can support root cause analysis, highlight areas for improvement, and ultimately contribute to more stable and efficient operations.
The integration of AI into alarm management reflects this shift. AI is not simply being introduced as a new tool, but as an accelerator to unlock the value already present within alarm data. It enables patterns to be identified more quickly, relationships to be understood more deeply, and actions to be supported with greater context and confidence.
In this sense, the move towards AI is not a departure from traditional alarm management, but a natural progression of it.
The Risk of Delaying AI in Alarm Management
As these ideas continue to develop, there is also a noticeable change in how organizations perceive risk. Previously, the primary concern was the risk of adopting new technologies, particularly in safety-critical environments. While this concern has not disappeared, it is now being weighed against a different kind of risk: the risk of not engaging.
One of the more thought-provoking moments of the event reflected on how quickly change can happen. It took just 68 days from widespread skepticism about human flight to the first successful demonstration. The point was not the milestone itself, but the pace at which perception shifted once progress began.
It feels as though we are entering a similar moment. More organizations are starting their journey with AI, exploring its potential with a willingness to test and learn. There is still caution, but it is increasingly balanced by curiosity and momentum.
AI should not be treated as a replacement for EEMUA 191 alarm management. It works best as an accelerator once the fundamentals are governed: alarm philosophy, rationalization, performance monitoring, management of change and clear ownership. Used properly, AI can help identify bad actors, recurring alarm patterns and early warning signs of alarm floods, but corrective action still needs controlled engineering review.
And with that, a growing recognition that those who choose not to engage may risk being left behind.
The Future of EEMUA 191 and Alarm Management
Overall, the EEMUA 191 seminar provided a valuable snapshot of an industry in transition. Alarm management is no longer viewed solely as a compliance requirement, but as a foundation for insight, improvement, and strategic decision-making. The growing role of AI, alongside the need for closer collaboration, points towards a future where insight can be translated into action more quickly, and with greater depth and confidence.
Alarm management is evolving. And increasingly, it is becoming central to how organizations understand, optimise, and improve their operations.
The conversation has moved forward. The question now is how quickly each organization chooses to move with it.
EEMUA 191 Alarm Management and AI: Key Questions
Alarm management is increasingly being seen as more than a compliance requirement. While standards remain important, organizations are now recognising the value of alarm data as a source of insight. When used effectively, it can support continuous improvement, operational performance, and better decision-making.
AI is emerging as an accelerator within alarm management. It can help identify patterns more quickly, prioritize actions, and provide deeper context around events. This enables organizations to move from reactive responses to more proactive and informed decision-making.
Successful AI adoption relies on clean, structured, and contextualized data. Without this foundation, outputs can lack accuracy or relevance. Human oversight also remains important, ensuring that insights are interpreted correctly and applied in a controlled and responsible way.
EEMUA 191 continues to provide a strong foundation for alarm management, but there is growing interest in how emerging technologies, including AI, can support the discipline. Ongoing work is exploring how standards can evolve to reflect new capabilities while maintaining good practice and governance.
There is a noticeable shift in mindset across industry. Organizations are becoming more open to exploring AI, balancing caution with curiosity. As the technology matures, there is also increasing awareness that not engaging with AI may present its own risks in terms of competitiveness and operational effectiveness.
EEMUA 191 Edition 4 was updated and restructured to make the guidance clearer and easier to apply. Key changes include greater emphasis on alarm philosophy and formal alarm rationalisation, clearer distinctions between alarms, alerts and operator prompts, revised prioritisation guidance, the adoption of Highly Managed Alarms, and new guidance for remote sites.
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