Boardroom Guide: Making the Predictive Maintenance Business Case
Predictive maintenance really does make good business sense
The American Society for Quality defines reliability as “the probability that a product, system, or service will perform its intended function adequately for a specified period of time, or will operate in a defined environment without failure."
Translate that to what every business wants to believe: that nothing should break, ever.
Every board and leadership team should know by now that uptime and reliability go hand in hand. Having a proactive strategy to prevent sudden downtime and outages makes good business sense and should be an imperative for 2026 and beyond.
Sure, there are upfront costs and culture shifts when deploying new tech. But when emergencies and failures can cost industrial manufacturers hundreds of thousands of dollars by the hour, maybe even millions if production halts for more than a week, then prioritizing reliability really is a no brainer for boardroom decisions. The goal is simple: prevent facilities from idling at all costs for better outcomes across the board.
Lighting Money on Fire
When production lines stop unexpectedly, the losses are catastrophic. Scrambling for emergency repairs comes at a premium rate. Not to mention, disappointing customers and watching competitors capture market share compound invisible costs. If failures are a regular event, a company might never recover. That’s risky business.
According to ABB’s industry perspective on maintenance and reliability, unplanned or unscheduled downtime represents one of the costliest events in any industrial manufacturing facility, from the energy, chemical, and power sectors to transportation, water, and food and beverage. By their calculations, it could cost businesses $124,669 per hour (median value).
Considering the costs, there’s more reasons than one why we call it smart tech. Using the tools to know what comes next brings immediate relief, keeps businesses steady, and operations on track.
Not just a buzzword or trend of the moment, predictive maintenance (PdM) is a risk mitigation strategy that delivers an impressive ROI. We’re talking less than a few months with the right solution and analysts in place, and if businesses stay the course. Why consider PdM a business imperative? Fewer emergencies and smooth operations mean less time spent worrying about what might break. Peace of mind doesn’t have a quantifiable cost. However, if having a solution can ease the pressure and maintain uptime all the time, you can count on not lighting thousands or millions of dollars on fire.
What Every Board Member Needs to Know About the Value of Reliability
Facility managers shouldn’t be the only ones thinking about maintenance and reliability. Boards have a fiduciary duty to make informed decisions that help organizations stay safe, effective, reliable, and profitable for the long term.
For industrial manufacturing, that translates to operational prudence. Instead of looking at predictive maintenance like a cost center, consider it a strategic enabler. Here’s why predictive maintenance is prudent and makes the cost of doing business better for you and your customers.
Benefits of Predictive Maintenance vs. Reactive Maintenance
Reactive maintenance costs 3 to 5 times more than predictive strategies, according to the U.S. Department of Energy in research that goes back nearly two decades. “Reactive maintenance is basically the ‘run it till it breaks’ maintenance mode,” the DOE notes in its Guide to Achieving Operational Efficiency. Why would any business want to run in a state where something’s sure to break?
On the flip side, “a well-orchestrated predictive maintenance program will all but eliminate catastrophic equipment failures,” according to the DOE Operations & Maintenance Best Practices report. Additionally, “depending on a facility’s reliance on reactive maintenance and material condition, it could easily recognize savings opportunities exceeding 30% to 40%.”
In other words, time and money back. So, why is your business not taking advantage of PdM combined with a sensor for any situation?
Carpe diem. Companies like Waites have already done the work to innovate, test, and advance IoT technology solutions that not only augment good maintenance practices but also drive down unplanned maintenance costs closer to zero with 24/7 eyes on the ground. Stop spending money on reactively fighting equipment failures and focus on what matters most – delighting customers with consistent, dependable, and predictive performance.
Making the Most with PdM: Ancillary Benefits
✓ Reduced safety incidents
✓ Increased productivity
✓ Fewer environmental violations
✓ Decreased turnover
✓ Yields
✓ Energy
✓ Lower capital cost
✓ Warehousing parts
How to Avoid an Equipment Failure? Find a Reliability Partner
McKinsey & Company says it this way: machines can now tell you when they aren’t feeling well. Machine health is monitored through condition-based maintenance, with sensors alerting teams to a potential problem, followed by expert vibration analysis to cut through any false alarms. Teams can act on issues early, thanks to data-driven PdM techniques.
Asset-intensive industries operate in difficult, unpredictable circumstances and challenging environments. That’s why “tech partners matter,” McKinsey says, noting that “the right partner can help make PdM adoption seamless, for instance by providing training tailored to the personnel involved, while engaging them throughout the deployment to ensure buy-in, or by integrating PdM actions into existing workflow systems.”
It might sound like an added burden, but IoT solutions for PdM like Waites’ comprehensive sensor-to-analyst ecosystem keeps it simple.
>> Cut to the chase and ask us how our solution works.
Previous generations of predictive maintenance required significant manual data collection, limited sensor coverage, and expertise that only the largest enterprises could afford. Waites' AI-powered condition monitoring system has changed the playing field.
Predictive Maintenance Cost Savings: Real Numbers, Real Companies
Major players, including International Paper, Nestlé, Diageo, Nike, and Tesla, trust Waites to protect their most critical assets. We’ve proven in these real-world use cases that PdM is well worth the investment.
Owens Corning: $11 Million Saved
When Owens Corning implemented Waites' condition monitoring system, they avoided an $11 million loss on a single critical asset. As their Reliability Engineer stated: “Installing the Waites system was one of the easiest decisions we’ve made. It’s a small investment compared to the $11 million we saved.”
Global Automaker: $32.5 Million Across Six Plants
A leading automotive manufacturer deployed 3,200+ Waites sensors across six plants and achieved:
- $32.5 million in documented savings from avoided downtime
- 990% ROI through smarter maintenance and faster fault detection
- Improved reliability culture with more predictable maintenance planning
- Company-wide expansion to additional sites following proven results
Distribution & Logistics: $200K in 8 Days
At a major distribution facility, Waites sensors detected unusual temperature spikes on a conveyor end roller—from 75°F to 259°F. The system alerted maintenance to misalignment issues before catastrophic failure. This resulted in $200,000 in avoided downtime costs and only 2 hours of planned maintenance instead of days of emergency repairs.
Building Materials: $318K Avoided, 60 Hours Saved
Bearing failure detected in a conveyor’s drive roll bearing before complete failure prevented 60 hours of unplanned downtime and $318,000 in losses.
Addressing CFO Objections
Still not convinced? By Siemens’ estimates, the true cost of an hour’s downtime is staggering, and companies are at risk of losing (production, time, money)...BIG TIME. In automotive manufacturing, for example, every unproductive hour costs $2.3 million.
Here’s how we’re changing the narrative:
🗨️ “We've invested in maintenance technology before with disappointing results."
Legacy systems required siloed expertise and couldn't integrate with existing operations. Waites is designed differently: full-service deployment with certified analysts monitoring your equipment 24/7, no PLC access required, zero IT overhead. The system is operational within weeks, not months, and customers see their first prevented failure within 90 days of implementation.
🗨️ "Our operations are complex and unique."
Which makes Waites even more valuable. The system has analyzed over 10 trillion data points across diverse industries—from automotive assembly lines to pharmaceutical cleanrooms to mining operations. Waites' AI trained on this massive dataset combined with human vibration analysts who understand your specific equipment means the solution adapts to your complexity, not the other way around.
🗨️ "What's the ROI timeline for predictive maintenance?"
Waites’ average customer receives complete ROI in under 3-4 months—significantly faster than the 12-18 month industry average. Some customers achieve full payback in as little as 3 weeks. One global automaker documented 990% ROI across six plants with $32.5 million in documented savings.
It’s likely that the more reactive your current approach, the faster the return. With well over 500,000 sensors deployed worldwide, our data shows that reliability is defensible and advantageous to keep businesses running smoothly and profitably.
Making a Solid Financial Decision to Invest in Predictive Maintenance
Boards can evaluate this investment against three criteria:
- Strategic Necessity: Will competitors gain an insurmountable operational advantage if we delay our predictive maintenance strategy? Consider that a leading automaker is already achieving 990% ROI with Waites. Why wouldn’t you invest now?
- Financial Merit: Does the investment clear our hurdle rate for ROIC within acceptable timeframes? Consider the potential to see value-added results in less than 4 months.
- Execution Risk: Can we implement effectively? Waites handles deployment, training, and monitoring, so maintenance teams have clear actions based on verified insights.
For most industrial operations, a predictive maintenance path scores high on all three points.
Why Market Leaders Win with Waites
Unlike legacy condition monitoring that dumps data on your team to interpret, Waites steps in to ease the burden. Our data-backed and analyst-reviewed condition monitoring solution combines:
- High-fidelity sensors (IP69K and C1D1-rated for harsh environments)
- AI trained on trillions of readings providing predictive modeling up to 90 days out
- Certified human vibration analysts monitoring your equipment 24/7
- Prescriptive recommendations delivered through an intuitive dashboard
- Collaborative support that fundamentally changes how your maintenance team operates
By applying this big picture view to protect your high-value assets, your business will know what to fix, when to fix it, and why it matters to the bottom line.
Sounds Good, Now Let’s Get Started
Your board faces a clear choice. Transform from reactive to reliability-centered operations or watch competitors deliver more consistently, cost-effectively, and profitably.
Our sensors are ready. The AI is proven. And the most hardworking humans you’ll ever see are standing by to help you predict what comes next. Together, let’s make it count.
