Building a Business Case for Predictive Maintenance

Getting to “Yes”

You’re convinced predictive maintenance is the right move. Now you need to convince budget holders. Here’s a step-by-step guide to building an airtight business case.

Step 1: Document the Current State

Gather hard data on your current maintenance reality:

  • Annual unplanned downtime hours
  • Cost per hour of downtime (by area/equipment)
  • Current maintenance spend breakdown
  • Reactive vs. planned work order ratio

Step 2: Define the Opportunity

Based on industry benchmarks, calculate potential improvements:

  • 30% reduction in unplanned downtime
  • 15% improvement in maintenance productivity
  • 10% reduction in spare parts inventory

Step 3: Calculate ROI

Investment: Rs.10-15 lakhs annually for Aimyze

Returns: Rs.1-5 Crores annually (depending on plant size)

Payback: Under 3 months

Step 4: Address Objections

  • “We tried AI before” – Aimyze deploys in 4 weeks, not 18 months
  • “Our systems are old” – We integrate with legacy, no rip-and-replace
  • “Budget is tight” – Start with pilot, prove ROI, then expand

Step 5: Propose a Pilot

Reduce perceived risk by suggesting a focused pilot on one critical system. Set clear success metrics. Let results speak for themselves.

Ready to transform your maintenance operations? Visit aimyze.com

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