A PPM programme that runs on rules, not on someone remembering — schedules generated, assigned, and tracked without coordinator effort.
Preventive maintenance fails quietly. The schedule looks complete in the planning system; the operations are running; and then at month-end, the PPM compliance report shows 68 percent. The missed 32 percent is a combination of reactive jobs that displaced scheduled ones, technician absences that nobody rescheduled around, and assets that were added to the portfolio months ago but never got a PPM plan attached to them. The coordinator who is supposed to manage this is managing it from a spreadsheet or a CMMS that was configured when the portfolio was half its current size. Every morning they are triaging reactive jobs, reassigning displaced PPMs, and chasing technicians for completion confirmations — rather than managing the preventive programme. Coreziyo's preventive maintenance capability shifts this from a coordination exercise to a rules-based system. Schedules are generated automatically from asset class configurations. Jobs are assigned based on technician skill, proximity, and load — not by a coordinator matching names to jobs. Displaced PPMs are rescheduled within the same calendar period automatically. Compliance is a live number, not a month-end reconstruction. The coordinator manages exceptions, not the entire programme. For the underlying scheduling engine that generates and distributes PPM work orders, see [PPM Scheduling](/features/cafm/ppm-scheduling/).
Preventive maintenance is only preventive when it actually happens on schedule. A well-designed PPM programme that runs at 70 percent compliance is delivering 70 percent of the asset life extension it was designed to produce. The remaining 30 percent of missed jobs are compounding into reactive faults, accelerated wear, and emergency repairs that cost more and disrupt operations more than the scheduled job ever would have.
Coreziyo’s preventive maintenance capability is designed to make the 90-percent-plus compliance level achievable without heroic coordinator effort. The programme is rule-driven, self-scheduling, and self-correcting when disruptions occur. The coordinator’s job is to manage the programme, not to be the programme.
At 3,800 PPMs a month, this distinction is what makes preventive maintenance operationally viable at scale. Manual coordination at that volume is not a system; it is a dependency on individuals. A rules-based system runs at scale with consistent results, regardless of who is on shift.
What you actually get
Rule-based schedule generation
Define maintenance plans by asset class, service type, and frequency. The system generates PPM work orders on schedule across the entire portfolio — no manual creation, no missed assets, no spreadsheet dependency.
Seasonal and regulatory schedule adjustment
GCC operational realities — summer HVAC peaks, Ramadan shift patterns, statutory inspection calendars — are built into the scheduling rules. The system scales the programme to match operational context, not a fixed monthly template.
Automatic rescheduling of displaced PPMs
When a reactive job displaces a scheduled PPM, the system records the displacement and reschedules the PPM within the same calendar period. Compliance is preserved; the coordinator is not required to manually track the reschedule.
Technician skill and load matching
Preventive jobs route to technicians with the right trade certification and available capacity. A certified refrigeration technician handles chiller PPMs; a civil technician handles structural checks. Load balancing prevents overloaded technicians and idle ones.
Live PPM compliance dashboard
Compliance rate by site, asset class, discipline, and technician is visible in real time. The engineering manager checks the dashboard each morning to see what is due, what is in progress, and what is at risk — before the day is over.
How it shows up in real operations
The GCC FM operator running Coreziyo auto-schedules approximately 3,800 PPMs every month across 1,000+ buildings. In summer months, HVAC preventive maintenance volume rises significantly — the system recognises the seasonal rule and increases the schedule volume and load distribution accordingly, without the maintenance planning team touching a spreadsheet. PPM compliance for this operator runs above 90 percent consistently — not because the maintenance team is exceptional, but because the system makes compliance the path of least resistance. Work orders are generated, assigned, and tracked automatically. Technicians know what to do and when. Managers see exceptions, not the entire operation.