From the request that comes in at midnight to the cost that posts at close — one continuous flow.
A work order is not a ticket. A ticket is a record that something was reported and something was done. A work order is a managed chain of events: a request is raised, triaged, assigned to the right person with the right skills, executed with evidence, signed off, and closed — and when it closes, the cost posts, the spare parts are consumed, and the asset's maintenance history is updated. That chain has to be unbroken or the value disappears at each handoff. Most CMMS tools handle the middle of the chain — assign, execute, close — reasonably well. They fall apart at the edges: the request comes in through a different channel, the cost has to be manually entered in a separate finance system, and the asset record gets updated at best weekly in a batch run. Every edge is a gap, and in high-volume FM operations those gaps accumulate into a month-end reconciliation nightmare. Coreziyo treats the work order lifecycle as a single transaction. Request, triage, assignment, execution, sign-off, cost posting, and asset history update are one event with multiple steps — not six events in six systems. At 150,000 work orders a month, that integration is not a nice-to-have; it is what makes the operation manageable.
Work order management at scale is a process problem masquerading as a software problem. The software is the easy part. The hard part is ensuring that 150,000 monthly events — each with a request source, a priority, an assignee, a checklist, a set of parts, a cost, and a client sign-off — flow through the operation without coordinator bottlenecks, data gaps, or month-end reconciliation.
Coreziyo solves this by treating the work order lifecycle as a single unbroken chain, not a collection of related records in adjacent systems. The request intake, triage, assignment, execution, and financial closure are steps in one workflow. Each step is tracked, timed against SLA targets, and visible to the right people in real time.
The outcome is not just faster work orders. It is a building team that stops firefighting administration and starts managing outcomes — SLA performance, cost per asset class, technician utilisation, and backlog trends. Those are management numbers, and they come out of the same system that runs the daily operation.
What you actually get
Multi-channel request intake
Requests arrive from the mobile app, web portal, QR-code scan on equipment, or SLA-driven auto-generation. All routes land in the same queue with the same triage workflow.
Triage rules and SLA timers
Configurable triage rules classify priority and assign SLA target on intake — critical plant gets a 2-hour clock, routine repairs get 48 hours. SLA breach alerts fire before the timer expires, not after.
Skill-based assignment
The system matches the job category to the technician's trade and current load. A chiller repair goes to a certified refrigeration technician with capacity, not whoever is first on the list.
Photo evidence and checklists
Each work order carries a configurable checklist — items the technician must confirm before closing. Photos and video are captured in the mobile app and stored against the work order record permanently.
Parts consumption and stock draw
Technicians log spare parts consumed from the mobile app. The draw posts against the work order cost, updates warehouse stock, and triggers a reorder if minimum stock is breached.
Sign-off and automatic cost posting
Client or supervisor signs off on the mobile app. On close, the total cost — labour time, parts, and any third-party charges — posts automatically to the asset record and the general ledger.
How it shows up in real operations
The Tier-1 GCC FM operator running on Coreziyo processes 150,000+ work orders each month. On a typical day, the operations centre sees 5,000 work orders in various states of the lifecycle. The coordinator's job is no longer to manage each one manually — it is to monitor exceptions: the SLA that is about to breach, the critical asset with an open reactive fault, the technician with an overloaded queue. The system manages the routine. Requests come in, get triaged automatically, and are assigned within minutes. The technician gets a push notification on their phone, accepts the job, navigates to the asset using the embedded location reference, completes the checklist, photographs the work, and closes the order. At close, the cost posts. The client receives a completion report. The asset record is updated. Nothing waits for a batch run or a manual export.