corrective maintenance
Align your preventive maintenance with reality
Stop over-maintaining healthy machines and missing the ones about to fail. Maintmaster MI analyses your historical breakdown patterns and past fixes to suggest targeted, highly effective preventive maintenance routines that actually work.

Why teams use Maintmaster MI
Target the right tasks
Cut unnecessary work
Stop wasting technician hours on generic inspections that do not prevent breakdowns.
Prevent recurring faults
Use past operator notes to add highly specific checks to your maintenance routines.
Without failure data, preventive maintenance is just guesswork.

Before
Wasting time and resources.
Maintenance planners often build schedules based on guesswork or static manuals. This leads to over-servicing stable assets, wasting valuable technician time, and still experiencing unexpected breakdowns on machines that truly need attention.

Action
Scan history. Identify failures.
Maintmaster MI scans historical work orders and operator shorthand to identify exactly how and why your equipment is failing.

Result
Targeted routines. Higher reliability.
You deploy targeted preventive maintenance based on real factory-floor data, reducing unnecessary interventions and increasing asset reliability. You get maintenance driven by reality instead of only the calendar.
Powerful tools for smarter
maintenance schedules

Uncover what really stops production
MI reads through thousands of messy work orders to find the real, recurring reasons behind machine failures.
Match history to future prevention
The system suggests specific preventive actions and inspections based on the fixes that have actually worked in the past.


Optimise your schedules continuously
Refine your CMMS checklists over time, ensuring your maintenance strategy evolves alongside your aging equipment.
Proven results. Turning insights into targeted maintenance.
SIP (Sterilisation in Place) time
improvement in MTBF on Capsetter
filler stops


Before and after
Maintmaster MI

The old way
Static schedules
- Schedules based on generic OEM guidelines
- Technicians wasting time on unnecessary checks
- Recurring breakdowns despite regular servicing
- Historical breakdown data ignored

The new way
Smart, proactive, data-driven
- Maintenance driven by actual factory failure data
- Technician time focused strictly on high-risk areas
- Recurring problems caught before they stop the line
- Continuous loop between breakdowns and prevention
Make every preventive task count with Maintmaster MI
Start building smarter maintenance schedules based on reality. Stop over-maintaining healthy machines and focus your team on the tasks that actually prevent downtime.
See other CMMS use cases
Maintenance Alerts & Analysis
Identify issues early, prevent unplanned downtime, and move from reactive to proactive maintenance.
Audits & Compliance
Digitise maintenance, ensure compliance, and stay audit-ready without slowing production.
Operator Maintenance
structure, scale, and optimise operator maintenance to boost efficiency and maximise plant availability.
IoT Sensors
Monitor equipment conditions in real time with pre-configured gateways and sensors that integrate seamlessly with your CMMS. Simple to set up and ready to use.
CMMS & AI
Turn maintenance data into clear, actionable insights. Helping teams spot patterns, solve root causes, and improve reliability.
Learn moreFrequently asked questions
- Does MI rewrite my maintenance plans automatically?
-
No. MI surfaces targeted suggestions based on your historical work orders and past fixes — your maintenance planner reviews and decides what to act on. You stay in full control. MI gives you the evidence; your team makes the call. Think of it as a highly experienced analyst who has read all your work order history, not an autopilot that changes things without you.
- What if our historical data is messy?
- That is precisely what MI is built for. It is trained to understand operator shorthand, incomplete notes, and inconsistent language from real shop floors. One of our early customers stored maintenance notes in the Description field instead of the standard field — MI handled it without issue. You do not need clean, structured data before you start. MI works with what you already have.
- How does it know what to suggest?
- MI reads your existing work order history in Maintmaster CMMS — including free-text notes, operator shorthand, and completion codes. It identifies which faults recur most often, clusters similar failure descriptions together, and matches them to the fixes that actually resolved those issues in the past. Nothing is invented. Every suggestion traces back to something your own team has already documented and proven.
- How quickly can we see results?
- Quickly. The standard process is: we pull a sandbox from your Maintmaster data, analyse a selected machine or production area with MI, and present the results — typically within 3 weeks of starting. You see real output from your own system before making any commercial commitment. There is nothing to install and no new systems to integrate.
- Does it integrate with our current Maintmaster CMMS?
-
MI is built directly on top of Maintmaster CMMS, and Maintmaster OEE — it is not an integration; it is part of the same platform. Your work order history, asset data, and operator notes feed MI automatically. There is no data export, no third-party connection, and no IT project required to get started.
- Do we need someone dedicated to managing it?
- MI works best when one person in your team — a maintenance planner, CI manager, or reliability engineer — takes ownership of reviewing the insights and driving actions. This does not need to be a full-time role. It is closer to a monthly review habit than a dedicated job. MI does the analysis; your team does the deciding. If you have someone who currently spends time manually reviewing work order history, MI replaces that effort and gives them better output to act on.






