AI is starting to show up everywhere in maintenance and facility operations—but what does that actually mean for those of us managing assets, work orders, and day-to-day operations?
Traditionally, a CMMS helps us:
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Track assets
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Schedule preventive maintenance (PMs)
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Manage work orders
Here’s what that looks like in practice:
What AI claims to do:
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Predict failures before they happen
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Automatically prioritize work orders
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Suggest root causes based on past data
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Optimize spare parts inventory
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Help techs log work faster (voice, auto-fill, etc.)
What it actually depends on:
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Clean, consistent data
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Well-structured assets
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Detailed work order history
Without that… it’s basically guesswork.
Real talk:
A lot of facilities are still running:
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Calendar-based PMs
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Manual scheduling
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Limited failure tracking
So the question becomes… are we ready for AI, or are we skipping steps?
Discussion:
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Are you currently using a CMMS? If so, which one?
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Have you seen any real AI features in action, or is it mostly marketing?
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What’s your biggest challenge today—data quality, adoption, or something else?
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If you’re not using a CMMS, what’s stopping you?
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Do you trust AI to make maintenance decisions, or do you still rely on technician experience?
My take:
AI has potential—but only if the foundation is solid. Otherwise, it’s just another feature that looks good in a demo.
Curious what others are seeing in real operations