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Welcome to Asset Context Intelligence Onboarding

Plugging AI into your maintenance operation can feel like a leap. You worry about disrupting what already works. You worry about data silos and endless configuration. Well, that’s where iMaintain’s asset context intelligence steps in. It sits on top of your CMMS, documents, spreadsheets and historic work orders. No rip-and-replace. Just a structured AI layer that learns from your day-to-day fixes.

In this guide, we walk you through every step. From connecting your CMMS to enriching asset data, configuring discovery searches and setting up custom metrics. You’ll see how asset context intelligence empowers your team to solve faults faster, reduce repeat issues and build real confidence in AI-driven insights. Ready to dive in? Explore asset context intelligence with iMaintain – AI Built for Manufacturing maintenance teams

Why Asset Context Intelligence Matters

You’ve heard buzz about predictive maintenance. But you’ve got spreadsheets, paper logs and a CMMS that’s barely scratching the surface. That gap between data and prediction is what we call the intelligence chasm. Asset context intelligence bridges it by:

  • Capturing every fix, work order and root-cause analysis.
  • Structuring that knowledge so it’s searchable, shareable and AI-ready.
  • Surfacing proven fixes at the point of need on the shop floor.

This isn’t magic. It’s human knowledge modelled for AI. You keep doing the real work. iMaintain learns from it, then suggests solutions faster than a Google search. No more hunting through dusty binders or chasing colleagues on the next shift. Just clear, contextual insights right where you need them.

Step-by-Step Onboarding Guide

Getting started with asset context intelligence is easier than you think. Follow these steps for a smooth setup.

1. Connect Your CMMS

First things first. Link your existing CMMS to iMaintain. We support most major platforms out of the box. You’ll:

  • Authorise a read-only API connection.
  • Map your asset hierarchy and location structure.
  • Sync work orders, maintenance logs and asset history.

All your data stays where it belongs, but now it feeds into a unified intelligence layer. No need to migrate or re-enter records.

2. Populate Directories and Data Sources

iMaintain uses internal directories to enrich assets with context. Think subnets, user IDs and departmental info. Populate:

  • Company subnet directory
  • Company user directory

Then add your custom data feeds. Maybe you’ve got sensor data or vendor logs. Pull them in as extra enrichments. The system recognises known sources but welcomes your own.

3. Enrich and Standardise Asset Data

Dirty or missing fields? No problem. Create custom fields in the asset inventory and define standard values. iMaintain’s default enrichment rules fill in gaps automatically. You can tweak or add your own rules, for example:

  • Standardising manufacturer names
  • Tagging criticality levels
  • Mapping maintenance priority codes

Clean data makes your AI suggestions spot on.

4. Activate Discovery Workflows

Time to let iMaintain find your assets automatically. Turn on discovery searches to scan networks, databases and logs. You’ll see new or orphaned assets pop up in dashboards. It’s like having a digital asset detective.

Midway through your journey, you might want to see it in action. Schedule a demo to watch asset scanning live.

5. Configure Metrics and Reports

Your data is valuable, but metrics turn it into actionable insight. Choose from built-in KPIs like mean time to repair or create bespoke ones, for example:

  • Average time between repeat faults
  • Percentage of on-time preventive tasks
  • Custom OEE-style metrics

Metrics update in real time. Pin them to supervisor dashboards or build bespoke reports.

6. Set Up Enrichment Rules

Enrichment rules are the secret sauce of asset context intelligence. They map raw data into meaningful labels. You can:

  • Use default rules to fill missing fields.
  • Write custom rules, for example tagging safety-critical equipment.
  • Chain multiple rules for deeper insights.

As rules fire, AI recommendations get smarter. Every maintenance action improves future enrichments.

7. Integrate with Enterprise Systems

iMaintain plays nicely with the rest of your enterprise. Out of the box, we support:

  • Single sign-on (SSO) via your identity provider.
  • ERP and production scheduling tools.
  • Incident management and reporting platforms.

And if you use Splunk Enterprise Security? You can enrich notable events with asset context in just a few clicks. Learn how it works to link up seamlessly.

Best Practices for a Smooth Rollout

A solid technical setup is only half the battle. Make sure you:

  • Appoint a maintenance champion. Someone who lives and breathes uptime.
  • Start small. Pilot on one line or shift before widening the rollout.
  • Train your engineers. Short workshops to show AI-driven troubleshooting in action.
  • Monitor adoption. Use built-in progression metrics to spot lags.
  • Encourage feedback. Engineers know their assets best, so let them shape the AI rules.

Follow these tips and you’ll turn asset context intelligence into an everyday tool, not a trophy shelf feature.

Try an interactive demo to see hands-on how these best practices come together.

Next Steps and Continuous Improvement

Congratulations, you’ve onboarded iMaintain’s asset context intelligence. But this is just the beginning. Maintenance maturity is a journey, not a checkbox. Keep iterating:

  • Review enrichment rules every quarter.
  • Add new data feeds as you digitise more equipment.
  • Refine metrics based on evolving KPIs.
  • Celebrate team wins: reduced downtime, fewer repeat faults, faster repairs.

With every improvement, AI gets sharper. Over time you’ll build a resilient, data-driven maintenance operation.

Discover asset context intelligence with iMaintain – AI Built for Manufacturing maintenance teams

What Our Users Say

“Since we connected our CMMS to iMaintain, asset failures drop by 30%. The AI suggestions are right on the money. My team actually enjoys using it.”
— Mark Thompson, Maintenance Manager at EuroTech Components

“We were drowning in spreadsheets. Now each engineer has instant access to past fixes, right on the shop floor. Downtime’s down, confidence is up.”
— Sarah Patel, Reliability Lead at Northern Aerospace

“Enrichment rules transformed our asset data overnight. We went from guessing manufacturer details to having clean, searchable records. The AI insights followed almost immediately.”
— James Morgan, Operations Manager at Precision Plastics

Integrate asset context intelligence with your CMMS today and start powering smarter maintenance with human-centred AI.
Experience asset context intelligence with iMaintain – AI Built for Manufacturing maintenance teams