Readings, condition scores, and performance data accumulate on the asset record — so you know what the asset is doing, not just what it was doing.
Once an asset is installed and running, the operational data that accumulates around it is either captured systematically or it isn't. In most FM operations, it isn't — or it is captured in a disconnected way that makes it inaccessible when it matters. Energy meter readings go into a spreadsheet. Condition scores from inspections go into a report that gets filed. Fault codes from building management systems sit in a BMS that the asset register never queries. The result is an asset that is operationally opaque. A manager asking "how is the chiller on floor 12 performing?" gets an answer based on the last time someone looked — which could be six months ago and might not be written down anywhere. The Operate stage in Coreziyo turns the asset record into a living operational file. Technicians log readings during PPMs and inspections. Condition scores update on every maintenance visit. Where energy meters are connected, readings flow in automatically. The operational picture is always current, and it sits on the same record that carries the purchase cost, the warranty terms, and the maintenance history.
The operating life of an asset is where most of its cost is generated and where most of the information about its true condition is produced. A single chiller over fifteen years will consume more in energy and maintenance than it cost to acquire. The organisations that manage assets well are the ones that capture and act on the operational data — not the ones with the best acquisition process.
Coreziyo’s Operate stage makes that capture systematic. Every time a technician visits an asset, the interaction is a data event: a reading, a condition score, a checklist result. The asset record grows richer with every visit. The engineering manager sees not a static record but an evolving operational picture — one that supports forward-looking decisions rather than just documenting what has already happened.
At 200,000+ assets, the difference between an organisation that captures operational data and one that doesn’t is visible at the board level: in energy budgets, in maintenance cost per square metre, and in the capital replacement plan. Those numbers come from the operate stage.
What you actually get
Meter readings and condition logging
Technicians record meter readings, condition scores, and operational parameters directly on the asset record during site visits. Historical trends are visible at a glance — no data extraction, no separate system query.
Performance metrics tracking
Track key performance indicators by asset class — runtime hours, cycle counts, throughput, energy consumption. Performance data feeds directly into replacement planning and PPM frequency adjustments.
Condition-based alerts
Set threshold rules per asset: if a condition score falls below a defined level, or a reading exceeds a safe range, an alert fires to the engineering team. Problems surface before they become failures.
Inspection record linkage
Formal inspection outcomes — from regulatory inspections, insurance surveys, or internal audits — attach to the asset record at the point of the inspection. The compliance history is always on the asset, not in a separate folder.
Operational history for replacement planning
The accumulated operational record — readings, conditions, fault history, and maintenance cost — gives engineering managers an evidence base for replacement decisions. The recommendation is data-driven, not based on a feeling that the asset is getting old.
How it shows up in real operations
An FM operator managing a portfolio of 200,000+ assets uses Coreziyo to track the operational condition of its MEP plant across 1,000+ buildings. During every PPM visit, the technician records the equipment's condition score, any meter readings required, and any notable observations on the mobile app. Over time, the asset record builds a condition trend — an HVAC unit whose condition score has declined from 4.2 to 2.8 over three years, with increasing reactive fault frequency, presents a clear replacement case without the engineering manager needing to reconstruct the history. When the client's sustainability team asks for energy consumption data for the ESG report, the FM manager runs a filtered export from the asset records. The data is already there — it has been accumulating since the assets were commissioned.