AI is everywhere. It’s the buzzword every company wants to use. Many conversation seems to include the same question:

“How much of your solution is AI?”

Many businesses are pushing AI without fully understanding it or whether they even need it. Leaders tell their teams, “Start using AI,” without knowing precisely what it means or how it adds value.

At Industrial Matrix, we take a different approach. Instead of chasing trends, we focus on tailored, customer-focused, reliable solutions that work.

The Problem with AI in Predictive Maintenance

AI depends on large amounts of historical data to make predictions. But is data from other machines in other facilities truly indicative of what is happening on your equipment?

When customers ask, “Is this AI?” we ask them this instead:

If we have monitored 20 mixers before, do you want the maintenance strategy on your mixer to be based on those 20 other mixers?

Most customers pick the latter because every machine, environment, and operation differs.

This is where AI often falls short. It makes decisions based on past data, but your equipment operates under specific conditions that AI models may not fully understand.

Our Approach: Logic Over Hype

Instead of applying AI because it is popular, we use tested, proven algorithms that make real-time data-driven decisions about your equipment. Could this be referred to as "Artificial Intelligence? Perhaps, but we prefer to think of it as automated, calculated expertise. The trick is in the trend.

For instance, our Lube Matrix software calculates the amount of grease required for your bearings, relying not on a general AI model but on proven engineering expertise from the field custom-implemented specific to your machine.

It is not a chatbot deciding lubrication; it is years of industry expertise, using real-time data, turned into a reliable system.

This approach ensures:

Accuracy – Decisions are based on equipment conditions, not general AI models.

Reliability – Strategies are built on real-world engineering, not trends.

Efficiency – Maintenance is targeted, reducing failures and maximizing uptime.

Does AI Have a Place in Industrial Maintenance?

It depends. AI can be useful in the proper context, but at Industrial Matrix, we focus on reliability strategies that deliver real results, not just impressive buzzwords.

Before adopting AI, ask yourself:

Does this chatbot understand my equipment better than I do when I have historical and real-time health data to analyze?

Is it solving a real problem or just following a trend?

AI is not always the best solution, but smart, well-designed strategies are.

What do you think? Does AI belong in predictive maintenance, or is it another industry trend?

Book a demo today if you want to see how our system works.