A New Era for Asset Reliability Insights
Equipment downtime drags on production, eats margins, and erodes customer trust. Manufacturers need clarity on why assets fail, not just data dumps or charts. That’s where true asset reliability insights come in—shaping smarter decisions at the point you need them most.
Enter iMaintain’s AI intelligence layer: a human-centred approach that builds on your existing maintenance world, rather than demanding a rip-and-replace. It captures engineers’ know-how, past fixes, work orders and asset context into one living memory. Ready to see the difference? Access asset reliability insights with iMaintain
Traditional Industrial Software: A Closer Look at Baker Hughes Cordant
Baker Hughes’ Cordant™ 26.1 is an impressive suite. It unifies asset strategy, health insights and AI-driven risk modelling. You get predictive failure-mode analytics, KPI drilldowns and waveform analysis. A global, composable platform—scalable across sites, with multilanguage support and guided walkthroughs.
But real life on the shop floor tells a different story:
• Data overload
• Lengthy configuration before you see value
• Siloed CMMS, documents and spreadsheets still untouched
• Engineers forced to jump between interfaces
These gaps leave root causes buried, slow down repairs and erode confidence in “predictive” claims. While Cordant connects many dots, it doesn’t always stitch them into the real-time context engineers crave.
How iMaintain Bridges the Gap
iMaintain sits on top of your CMMS, file shares and historical work orders. No disruption. No re-engineering your toolchain. Instead, it turns every repair, inspection and investigation into shared intelligence. Key benefits:
- AI built to empower engineers, not replace them
- Proven fixes surfaced instantly, based on your own asset history
- Context-aware decision support at the moment of need
- Gradual behavioural change and adoption, guided by real workflows
Because it lives alongside your systems, iMaintain injects visibility into what matters most: human experience. No more endless searches through past tickets or spreadsheets. Your team sees relevant risk insights, step-by-step troubleshooting tips and links to documented cures—right where they work.
Feeling curious? Experience iMaintain in action
Beyond Prediction: From Reactive to Proactive
Most manufacturers aren’t ready for full predictive maintenance. The missing piece? Structured knowledge. Over 80% of factories can’t accurately gauge downtime costs. Many still run-to-failure or chase data in silos. iMaintain flips this model:
- Capture: Ingest work orders, manuals and asset history
- Structure: Tag fixes, root causes and context automatically
- Surface: Show likely fault paths and proven remedies
- Improve: Track repeat issues and drive preventative strategies
This stepwise approach builds trust. Engineers see quick wins—repeat faults drop, mean time to repair shrinks, and risk visibility rises. Only then does true prediction become practical.
To see the full workflow in action, Discover how iMaintain works
Real-World Impact: Metrics That Matter
In the UK alone, unplanned downtime costs manufacturers up to £736 million per week. iMaintain customers report:
- 30% faster fault resolution
- 40% fewer repeat breakdowns
- Clear dashboards for maintenance managers and reliability leads
- Consistent insights preserved despite shift changes or staff turnover
Compare that with solutions that promise AI but deliver dashboards. iMaintain creates a living knowledge base that grows with every repair. Plus, for marketing teams wanting to share these achievements, there’s Maggie’s AutoBlog—an AI-powered platform that automates SEO-friendly blog content based on your engineering wins.
Curious about deeper results? Reduce machine downtime across sectors.
Getting Started with iMaintain
Adopting iMaintain takes days, not months:
- Connect your CMMS and document repositories
- Upload historical work orders and asset health logs
- Invite engineers and give them quick tasks—no heavy training
- Watch insights flow as fixes, causes and risk data unify
Within a week, teams fix faults faster. Maintenance managers get clear trend lines. Reliability leads spot systemic issues before they escalate.
Want to see these steps live? Book a demo
Testimonials
“After switching to iMaintain, our team slashed repeat pump failures by 50%. The AI suggestions are spot-on, and I trust the data completely.”
Sarah Lee, Maintenance Manager, AeroFab Industries“We were drowning in spreadsheets. Now engineers find past fixes in seconds. Downtime is down, morale is up.”
Tom Harding, Plant Operations Lead, GreenSteel UK“iMaintain’s human-centred AI fits right into our processes. No big rollout, no chaos—just real gains.”
Elena Rossi, Reliability Engineer, PharmaCore
Conclusion
Traditional platforms like Baker Hughes Cordant have their merits, but they start with complex integrations and lofty predictive promises. iMaintain flips the script by mastering the knowledge you already have—your engineers’ experience, documented fixes and asset context. That foundation delivers faster troubleshooting, fewer repeat faults and richer asset reliability insights over time.
Ready for a smarter approach? Unlock asset reliability insights today with iMaintain