PPM that schedules itself. Work orders that move themselves.
Coreziyo Maintenance & Work Orders is a complete maintenance management system on its own. You can deploy it to run preventive schedules, reactive tickets and mobile execution without any other module active. Connect it to Asset Lifecycle, HSE, Finance and Procurement on the same platform and the work order becomes the hub — costs post, parts are consumed, permits are linked, and SLAs are tracked, all from the same event. The majority of maintenance teams are running on something that was never designed for scale. A CMMS bought when the portfolio had 20 buildings, now responsible for 200. Schedules maintained manually by a coordinator who becomes a single point of failure. Reactive jobs that bypass approval workflows because the system takes six clicks to create a ticket. Reports that are produced by extracting data and spending two hours in Excel. The result is a maintenance operation that can't see itself clearly. Backlog numbers are stale. MTTR figures are guesses. SLA performance is argued about in meetings rather than read off a live dashboard. Coreziyo was designed for the point where that pattern breaks down.
Maintenance running on rules and SLAs — not on someone remembering to call the technician. Coreziyo handles both preventive and reactive work from a single queue, with SLA timers that start the moment a request lands.
The technician sees their jobs on mobile. The manager sees the backlog live. Nothing falls through the gap between a request and a resolved work order. With 150,000+ work orders processed monthly in a live production environment, this is an approach proven at the scale where most CMMS tools begin to struggle.
What you actually get
Preventive schedules that run themselves
PPM schedules are generated by asset, frequency, location and season — not by a coordinator working from a spreadsheet. The system assigns jobs to the right technician based on skill, proximity and current load without human dispatch.
Reactive work orders with SLA timers
Every reactive request — from a tenant call, a sensor alert, or a manual report — starts an SLA timer the moment it's created. Triage, assignment and escalation are handled by workflow rules, not by someone chasing the queue.
Mobile-first execution
The technician receives the job on mobile, picks it up, works through the checklist, captures photos as evidence, records spare parts consumed, and signs off — all from the device they carry. No clipboard, no back-office re-entry.
Spare-part consumption linked to assets
When a part is consumed on a job, it deducts from inventory and links to the asset record. Cost of labour and materials accumulates on the asset's maintenance history — total cost of ownership is always current, not reconstructed.
Live backlog and performance visibility
Backlog size, MTTR, SLA breach risk, technician load and cost variance are all live — not produced by a Tuesday-afternoon export. Managers can see the state of operations in real time and act before SLAs are missed.
Connected to HSE, Finance and Procurement
Permits-to-work can be required before a job starts. Completed jobs post costs to the general ledger. Material requests raise purchase orders. The work order is the hub of an operational event — not an isolated record in a standalone tool.
Drill into Maintenance & Work Orders
Explore each stage in depth.
Preventive Maintenance
A PPM programme that runs on rules, not on someone remembering — schedules generated, assigned, and tracked without coordinator effort.
Read more →
Reactive Maintenance
From the request that arrives at midnight to the closed work order with evidence — SLA timers running the whole way.
Read more →
Mobile Execution
The technician picks up the job, works the checklist, logs parts, photographs the outcome, and signs off — all from the device they carry.
Read more →
Visibility & Analytics
Backlog, MTTR, SLA breach rate, and technician load — live on the dashboard, not in a Tuesday-afternoon export.
Read more →
How it shows up in real operations
A Tier-1 GCC FM operator processes over 150,000 work orders a month — roughly 3,800 PPMs auto-scheduled, and the remainder reactive tickets from 1,000+ buildings. At that volume, a coordinator-driven dispatch model fails. Schedules slip, SLAs are breached, and the month-end report tells you what went wrong, not what's about to. In Coreziyo, the same operator's maintenance team receives their jobs automatically, executes on mobile, and closes the work order with evidence attached. The operations manager sees live SLA adherence by building, by asset class, by technician. Finance sees the maintenance cost per square metre by asset class as a live number, not a month-end calculation.