Maintenance, ranked by what fails next.
CAMS is a computerised maintenance management system built on a predictive engine. It forecasts asset failure from research-based deterioration curves, prioritises work by risk, and calculates contractual abatement automatically. Reactive maintenance becomes the exception, not the default.
A standard CMMS records work. CAMS predicts it.
Most maintenance systems are registers of what has already happened. CAMS adds the layer above: what will happen, what it will cost, and what to do first.
Predict, do not react
Deterioration curves forecast failure probability and remaining useful life for each asset, so intervention is planned before failure.
Prioritise by risk
Work is ranked by consequence of failure and criticality, not by arrival order. The highest-risk assets surface first.
Protect contract revenue
Automated abatement calculation ties SLA and KPI performance to contractual payment, removing manual, disputed deductions on PPP and FM contracts.
One system for the whole maintenance cycle
From reported issue to verified completion, every work order shares a single governed asset register, workflow engine and reporting layer.
From reported issue to verified completion
Sixteen capability areas covering creation, assignment, execution, SLA monitoring, contractor delivery and cost, with field execution through the mobile application.
- Work orders from issues, inspections, schedules and condition triggers
- Configurable multi-stage approval workflows with logic gates
- SLA response and rectification tracking with escalation
Service levels, monitored and enforced
Response and rectification times are tracked against contractual targets, with escalation, overdue alerts and automated abatement when service levels are breached.
- Response and rectification tracking against SLA targets
- Escalation rules, overdue monitoring and alerts
- Automated contractual abatement on PPP and FM contracts
The field, online or offline
Technicians see assigned work, scan assets, capture photos and signatures, and submit completion evidence from site, with GPS location recorded against each record.
- QR, RFID and barcode asset scanning
- Photo, signature and completion evidence capture
- Offline capture with synchronisation on reconnect
Advanced capabilities
The functions that separate CAMS from a maintenance log. Each rests on RMIT research, field validation, or contractual mechanisms a generic CMMS does not model.
Payment abatement automation
Calculates contractual payment deductions automatically when SLA and KPI thresholds are breached, weighted by criticality and affected area. Built for PPP and FM contracts where manual abatement is slow and disputed.
Hard to beatPredictive deterioration modelling
Almost 1,000 asset-specific, research-based degradation curves forecast failure probability and remaining useful life across the portfolio.
16 yrs RMIT researchSelf-learning prediction
A self-learning algorithm improves prediction accuracy as field condition data accumulates, so forecasts sharpen with use.
AdaptiveRisk-based prioritisation
Work is ranked by consequence of failure and asset criticality, directing limited maintenance budgets to the assets that matter most.
Criticality-rankedLifecycle cost forecasting
Deterioration curves drive long-range renewal and capital expenditure forecasts, connecting day-to-day maintenance to portfolio planning.
Capital planningSustainability and emissions
Maintenance and asset activity feed sustainability reporting, supporting emissions tracking and abatement measurement alongside operational data.
Integrated moduleStandard CMMS versus CAMS CMMS
| Capability | Standard CMMS | CAMS CMMS |
|---|---|---|
| Maintenance trigger | Reactive and scheduled | Predictive and condition-based |
| Failure forecasting | Not modelled | ~1,000 deterioration curves |
| Work prioritisation | Manual, first in first out | Risk and criticality ranked |
| Contract abatement | Spreadsheets, manual | Automated calculation |
| Capital planning | Separate exercise | Driven by the same model |
| Accuracy over time | Static | Self-learning |
See CAMS on a nominated pilot site
CAMS is released to a pilot site for an initial term, then monitored and refined to support the contract. Start with the CMMS and extend across the platform from there.
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