Predictive Maintenance IoT Case Study
Manufacturing Predictive Maintenance
A manufacturer's maintenance and IT teams were working from different views of equipment risk. Here's what happened, and how Comnexiom approaches the same problem with Managed IT, a segmented plant network and IoT sensing on critical assets.
Follow the business consequence.
A manufacturer relied on rounds, isolated alarms and spreadsheets, so maintenance and IT were working from different views of equipment risk.
One operating problem. The relevant capabilities together.
- Pilot runtime, temperature, vibration, or current sensing on critical assets
- Protect connectivity and separate appropriate operational traffic
- Use AI to prepare contextual alert summaries for review
- Connect work orders, maintenance ownership, and investment priorities
WHAT THE PROJECT WORKED TOWARD.
- Earlier awareness of abnormal equipment behavior
- Better-planned maintenance windows
- A repeatable basis for deciding whether to expand
Outcomes depend on the environment, baseline, implementation, adoption, and ongoing operating discipline.
MANAGED IT FIRST. THE RIGHT ADD-ONS SECOND.
Comnexiom starts with Managed IT: the plant network, security and support that equipment sensors depend on, with operational traffic kept separate. IoT sensing on critical assets is an add-on, scoped and quoted on its own, and the alerts go to the people who own the response. Managed IT includes unlimited IT support on every plan, plus unlimited IT-only projects and on-site support with Complete Care, for one flat monthly fee. IoT, cameras, cabling and third-party services are not included and are scoped and quoted separately, and Microsoft 365, backups, hardware, software and licenses are sold separately.
See pricing & scopeSOURCES AND RELATED STORIES.
One critical asset before an entire plant.
Choose the consequence
Select equipment whose unplanned stoppage affects a real delivery commitment. Capture current checks, known faults and maintenance ownership.
Collect useful context
Confirm suitable sensing, secure connectivity and a normal operating baseline. A changing reading should lead to investigation, not an automatic diagnosis of failure.
Connect the work order
Route the exception to maintenance with the asset and recent context. A Digital Jedi can prepare a summary for review; qualified personnel decide the response.
Define the baseline before the pilot.
Review actionable exceptions, nuisance alerts, acknowledgement time and whether the information changed a maintenance decision. Do not claim avoided downtime without supporting evidence.
Explore the relevant starting pointHAVE A SIMILAR PROBLEM? BOOK A JEDI FOR A MAINTENANCE REVIEW.
Book a Jedi for your Free IT Risk Review: 30 minutes on Microsoft Teams with Jeff Davis. You leave with one priority risk, one practical opportunity, one clear next step and a short written summary. No scans, no system access, no obligation.