Water, electricity, and gas readings — accumulated against the right space, ready for analysis the moment they are entered.
Energy data in most FM operations lives in one of two places: a spreadsheet updated monthly from meter photographs, or a building management system that runs as a separate network nobody in operations or finance can access. Neither feeds the rest of the operation. Neither triggers a work order when a reading looks wrong. Neither connects energy consumption to the asset, the floor, or the cost centre that is driving it. The result is a systematic gap between what is happening on-site and what anyone can see. A chiller consuming 30% more power than its baseline might run that way for three months before anyone notices — because the reading sits in a BMS that nobody queries, or in a spreadsheet that the energy coordinator will get to next week. By the time the problem surfaces, the cost is already incurred and the cause requires investigation that could have been prevented. Coreziyo Energy Metering places meter registration, reading capture, and anomaly detection inside the same operational platform as assets, work orders, and spaces. A meter is an asset. It belongs to a floor, a zone, or a piece of plant. When a reading deviates from its expected range, the platform flags it — and the team can raise a reactive work order on the asset it serves from the same screen, without switching systems.
Energy is one of the largest controllable costs in FM operations — and in most organisations, it is also one of the least visible. The gap between energy being consumed and the operations team being aware of an anomaly is typically measured in weeks: the time between meter readings, the time between readings and data entry, and the time between a spreadsheet being updated and someone actually reviewing it.
Coreziyo’s energy metering module collapses that gap to the time between a reading being entered and an alert firing. The reading is captured on mobile or imported automatically. It is validated against the meter’s expected range immediately. If it deviates, the alert fires to the right person within minutes, not weeks.
At 200,000+ assets across 1,000+ buildings, the scale of energy management makes manual visibility impossible. The meters, the spaces they serve, and the assets they monitor need to be part of the same operational record — so the data is always in context, always actionable, and never requires someone to build a bridge between systems before they can act.
What you actually get
Meter registration and asset linkage
Register every utility meter — electricity, water, gas, district cooling — as an asset within the spatial hierarchy. Each meter has a type, unit of measure, utility provider, and linked space or equipment. The meter record and the asset record are connected, not siloed.
Interval reading capture — manual or imported
Technicians log readings on mobile during site rounds. Automated imports via CSV or API bring in data from existing BMS or smart-meter platforms. Both routes accumulate into the same time-series record — no separate tool, no fragmented history.
Consumption trend and benchmark analysis
Consumption over time is visible per meter, per floor, per building, and per portfolio. Benchmarks can be set by building type, season, or occupancy rate. Trend views show whether consumption is stable, rising, or declining — without building a separate report each time.
Anomaly detection and threshold alerts
Set expected consumption ranges per meter. When a reading exceeds its threshold — a spike, a zero reading, or a sustained deviation — an alert fires to the facilities team. Proactive detection replaces reactive discovery when the bill arrives.
Reactive work order trigger from a reading
An anomalous reading can trigger a reactive work order on the linked asset in one click. The energy event and the maintenance response are connected in the platform — the investigation starts from the data, not from a separate phone call.
How it shows up in real operations
An FM operator managing a portfolio of mixed-use towers in Dubai uses Coreziyo to track 4,200 utility meters across electricity, water, and district cooling. During monthly reporting, the platform automatically surfaces the five buildings with the largest consumption variance against their seasonal baseline. The engineering team investigates, finds a cooling unit on floor 8 of one building has been running at 140% of its rated load for three weeks, and raises a corrective work order. The fault was caught before the next utility bill — and before the chiller needed emergency replacement. For the sustainability team, the same metering data that runs day-to-day operations feeds the quarterly energy intensity report. The data is already structured by building type and floor area. No extraction, no spreadsheet assembly — a filtered export that takes two minutes.