By Chelsey Nelson
Sitting in the room at the Total Plant Management Conference 2026, one moment during Sanjeev Kumar’s keynote stood out more than most.
There was a particular slide that made people pause.
You could see it happen across the room. Phones came up, not because the content was new, but because it was familiar. It captured something every plant has experienced but rarely sees articulated so clearly.
He walked through the evolution of maintenance in a way that felt immediately recognisable.
Reactive maintenance, where teams fix things only when they break. Preventive maintenance, where work is scheduled ahead of time, sometimes too early and more often than needed. Then predictive maintenance, where data and alerts provide visibility into potential failures, but often without clear direction on what action to take.
Each stage solved a problem but introduced a new one. Reactive approaches accept failure. Preventive approaches can lead to over-maintenance. Predictive approaches create a flood of alerts without clear prioritisation. It was clear from the reaction in the room that many organisations are still navigating this exact challenge.
What made this moment resonate was not just the journey itself, but how clearly it reflected what we continue to see across the plants we work with at MOVUS. Regardless of industry or level of digital maturity, the pattern is consistent. More data has not necessarily led to better outcomes. In many cases, it has simply made the next decision harder.
The answer is not more data, it’s a better decision.
That idea carried through many conversations across the conference. Despite different industries and operating environments, the underlying pressures were the same. Plants are dealing with fragmented systems, ongoing production demands, and the gradual loss of experienced knowledge as workforces change.
Even with significant investment in technology, many are still operating reactively, not because they lack visibility, but because turning insight into action remains difficult.
In several sessions, this gap became even more apparent. Conversations around turning data into decisions, improving alignment between plant, process, and people, and sustaining operational excellence all pointed to the same underlying constraint. The challenge is no longer seeing what’s happening, it’s deciding what to do next, and doing it consistently with the right prioritisation and execution.
There was also a strong emphasis on the role of people. Many of the most practical insights came back to frontline teams and the importance of building discipline in how work gets done. The most effective plants are not necessarily those with the most advanced tools, but those that create the conditions for clear, informed decision-making.
Technology plays an important role, particularly with the growing use of AI, but it is ultimately an enabler rather than the differentiating factor. Without clarity at the point of action, even the best insights struggle to translate into outcomes.
Another perspective that came through clearly was the reality of operating environments. In many cases, equipment is often difficult to access, located in conined spaces, exposed to extreme temperatures, or associated with safety risks that limit how often inspections can take place. In these conditions, maintenance becomes as much about risk management and investment decisions as it is about technical capability. Knowing where to focus attention and resources becomes critical.
Taken together, these discussions reinforce a simple idea from Sanjeev’s talk: the industry does not have a visibility problem. It has a decision-making problem.
This shift toward prescriptive approaches reflect this. It is not about generating more alerts, or more dashboards showing you more data, but about connecting insight into clear, actionable steps, and linking those actions directly to outcomes.
Watching the reaction in the room, it was clear that this is not a distant future state. It is a transition already underway.
Because on most sites today, the signals are already there.
The difference now is whether teams can act on them, clearly, consistently, and in time.
If you weren’t at the conference, but this shift feels familiar, it’s a conversation we’re already having with teams across mining and manufacturing. We’re working with sites to move beyond visibility, helping teams understand what’s likely happening, how serious it is, and what to do next.
If you’d like to explore what that could look like in your operation, get in touch with our team for a walkthrough today and see how this could apply in your operations.