.
• Ask for live demos of failure-prediction and guided fixes.
• Verify continuous learning—does the model get smarter? -
Test User Experience
• Run a pilot with end-users.
• Gather feedback on navigation, dashboards, mobile access.
• Ensure training materials and support channels are robust. -
Calculate ROI & TCO
• Estimate downtime reduction and cost savings.
• Compare licence fees, integration costs and ongoing support.
• Factor in speed of deployment—every week saved is money saved.
Real-World Impact: £240,000 Saved with iMaintain
A UK-based manufacturing SME struggled with unplanned downtime. By deploying iMaintain, they:
- Reduced reactive maintenance by 35%.
- Cut spare part inventory by 20%.
- Improved OEE by 12%.
- Total savings: £240,000 in the first year.
Read the full case study: £240,000 saved! – IMaintain
Conclusion
Choosing the right AI maintenance copilot means balancing advanced analytics, seamless integration and easy-to-use interfaces. While solutions like Siemens Industrial Copilot offer solid capabilities for large enterprises, iMaintain excels in flexibility, real-time insights and SME-friendly deployment.
Ready to transform your maintenance strategy?
Start your free trial, explore our maintenance copilot features, or get a personalised demo today.