Why Predictive Maintenance Fails Without Execution and How to Fix It
Most industrial teams know that predictive maintenance (PdM) works.
Sensors are installed, data is flowing, and alerts are coming in exactly as they should, identifying issues before they turn into failures. And yet, in plant after plant, equipment still runs to failure. Not because reliability and maintenance teams lack visibility, but because they’re unable to prioritize their most critical work.
That’s the pattern Jeff Parker, Waites Reliability Consultant, sees over and over again. As he puts it, “Why are we investing in predictive maintenance if we’re not going to act on it?”
It’s a simple question, but it cuts to the heart of the issue. Most organizations don’t have a detection problem anymore. They have an execution problem.
Stuck in a Reactive Maintenance Trap
On paper, many PdM programs look good enough. There’s more data, earlier warnings, and better visibility into asset health. But inside the plant, the day-to-day reality often hasn’t changed. Technicians are still tied up with reactive work, backlogs continue to grow, and the proactive work PdM is designed to enable keeps getting pushed out.
Why do predictive maintenance programs stall?
In most cases, it comes down to execution, not technology. As Jeff Parker puts it, “You will always stay reactive if you don’t dedicate someone to proactive work.” When every available resource is focused on fixing what has already broken, there’s no capacity left to prevent what’s coming next. The insights are there, but the organization never gets ahead of them.
Is my PdM system the problem or is it a work management issue?
It’s easy to assume the problem is the system. Maybe alerts need refinement or the data hasn’t earned full trust yet. But in Jeff’s experience, that’s rarely the root cause, and it’s typically a work management issue.
The real breakdown happens after a fault is detected. If there isn’t a clear path from insight to action, the work simply sits in a queue while more urgent, reactive issues take priority. Without a defined and protected process for planning, scheduling, and executing proactive work, predictive maintenance struggles to deliver its full value.
How to Fix Wrench Time
One of the first things Jeff looks at when working with a maintenance team is wrench time: how much time technicians are actually spending doing hands-on maintenance work. The numbers are telling. “Industry standard on wrench time is about 28%,” he says, adding that organizations can get to about 55%. By increasing wrench time, a maintenance team can free up resources to focus on the PdM proactive calls while also taking care of the reactive work.
That gap represents a massive opportunity. In many cases, it comes down to stronger work management processes like planning, scheduling and kitting that help teams spend less time reacting and more time executing planned work that has a known failure mode.
However, making that shift doesn’t happen on its own and requires intention.
Sometimes it starts with a small but meaningful change: pulling one person off reactive work and assigning them exclusively to proactive tasks. In other cases, it involves bringing in temporary support to work through the backlog.
As Jeff suggests, “Bring in contractors and only assign them proactive work; don’t let them get pulled into reactive.”
Once proactive work starts happening consistently, the dynamic begins to change. Equipment issues get corrected before they escalate, emergency work decreases, and teams gradually regain control of the schedule. “The more proactive work gets executed, the less reactive work they need to do over time,” Jeff says.
Making the Shift from Reactive to Transformed
The transition can feel uncomfortable at first because it often creates a temporary increase in maintenance effort and costs. Jeff explains: “When you are making this transition, there’s usually a period where you need more people turning wrenches. It can take about a year.”
That short-term increase in effort is often what prevents organizations from fully committing to the reliability transformation. But as the backlog shrinks and reactive work declines, organizations typically begin operating with far more predictability, efficiency, and control, while maintenance costs reduce over time.
For leadership teams, that creates an important decision point: Do they continue operating in a reactive cycle, or invest in fixing the underlying problems driving failures?
Organizations that commit to the transition often see benefits well beyond maintenance itself: safer operations, lower long-term costs, improved employee and customer satisfaction, and increased output.
Turning Insight Into Action
The results speak for themselves when teams make this shift. Reactive work begins to decline, backlogs become more manageable, and maintenance becomes far more predictable. Emergency failures decrease, and predictive maintenance finally delivers on the value it promised from the start.
If your organization is stuck in this gap, more data and more alerts won’t solve this work management issue. What’s missing is structure, process, and sometimes another set of eyes (or sensors) to pinpoint where the execution is falling short.
Because in the end, predictive maintenance programs typically don't fail because of the technology. It’s the execution to fix failure modes identified by the PdM calls in a timely manner that allows the equipment to get to failure.