Asset Risk (Beta)
Predictive maintenance from your own data, no AI theatre.
Asset Risk (Beta) is predictive maintenance built from the records MaintenanceIQ already holds: it scores each asset's risk as condition likelihood times criticality, and links every factor to the evidence behind it. It helps your planner and reliability engineer decide which machine to work on next. Based on the data already in your system, it suggests which machines are likely to struggle and opens a draft preventive work order for your planner to accept or dismiss.
09:30 · Planner · Illustrative
Start with the machines most likely to hurt you.
An illustrative morning. Your planner opens the Risk Board. The fleet is ranked by risk, and pump P-07 sits near the top. Its score is based on four signals: its bearing vibration is drifting toward the critical limit, its lubrication PM is overdue, it has broken down twice this quarter, and it is an A-criticality asset that stops a whole line.
Each of those factors is a link. One click opens the vibration trend, the overdue PM, the two breakdowns and the asset record. Nothing has to be taken on trust. Based on the data already in your system, Asset Risk (Beta) has also opened a draft preventive work order for P-07. Your planner reads the evidence, accepts the draft, and it becomes a real work order on the schedule.
P-07 and its history are illustrative. The way the score is built and explained is the real product.
- A Risk Board that ranks the whole fleet
- Every factor links to its evidence
- A drafted preventive work order to accept or dismiss
How the score works
Two questions: how likely, and how much would it matter?
A machine that is close to failing but does not matter much should not outrank a critical machine that is starting to drift. The score weighs both.
Risk = Condition likelihood x Criticality- Condition likelihood
- How likely the asset is to fail soon, blended from the signals below that exist for that asset.
- Criticality
- How much a failure would matter, from the asset's A, B or C criticality.
Weights and thresholds are set by your organization, so the score reflects how your plant judges risk.
The signals
Built from records you already keep.
Asset Risk (Beta) uses signals MaintenanceIQ already holds. If a signal does not exist for an asset, it is left out rather than guessed, and the card says so: "based on N signals".
Condition drift
How soon a monitored parameter will reach its limit at its current trend.
How: Links to the parameter's trend chart
Breakdown frequency and recency
How often the asset has broken down, and how recently.
How: Links to the breakdown records
PM overdue
Preventive maintenance that is past its due date.
How: Links to the overdue PM
OEE quality
The quality factor from the asset's OEE shift logs.
How: Links to the OEE log
Foundry campaign wear
Refractory wear on furnaces, for plants on the Foundry & Metals package.
How: Links to the furnace campaign
Age and AMC lapse
How old the asset is, and whether its maintenance contract has lapsed.
How: Links to the asset record
Why a critical pump can outrank a worse conveyor
Worked example (illustrative)
The numbers below are simplified to show the idea. They are not the product's internal scale, and your organization sets its own weights. Suppose criticality is weighted 1.0 for an A asset and 0.4 for a C asset, and condition likelihood runs from 0 to 1.
| Asset | Condition likelihood | Criticality weight | Risk |
|---|---|---|---|
| Pump P-07 (A) | 0.6 | 1.0 | 0.6 x 1.0 = 0.60 |
| Conveyor CV-03 (C) | 0.8 | 0.4 | 0.8 x 0.4 = 0.32 |
CV-03 is more likely to fail, but P-07 matters more, so P-07 ranks higher. Both stay on the board, in the order a planner would choose.
From score to work
A drafted work order, not just a red number.
A risk score is only useful if it changes what the team does. Based on the data already in your system, Asset Risk (Beta) suggests which machines are likely to struggle and opens a draft preventive work order for them. Your planner accepts it and it becomes a normal work order, or dismisses it with a reason, so the decision is recorded either way.
For assets with A or B criticality, crossing your risk threshold also sends an alert, so the machines that matter most are never left waiting for someone to open the board. Each asset's Monitoring tab carries its own risk card with the same factors and links.
- Drafted preventive work orders to accept or dismiss with a reason
- Threshold alerts for A and B criticality assets
- A risk card on each asset's Monitoring tab
Tuned to your plant
Your weights, your thresholds, and the trend over time.
Plants judge risk differently. A food plant and a foundry may not weigh an overdue PM the same way. Your organization can tune the weights of each signal and the risk thresholds.
Scores are recomputed every night and whenever you ask for a fresh run. Each score is kept, so you can see whether an asset's risk is rising or falling, and whether last month's work brought it down.
- Organization-level weights and thresholds
- Recomputed nightly and on demand
- Risk trends over time
Plain about it
What predictive maintenance means here, and what it does not.
Much predictive maintenance software asks you to trust a score you cannot see. Asset Risk (Beta) takes the opposite approach. It combines signals your team already records, weights them by asset criticality, and shows its working. If you disagree with a score, you can see exactly which factor drove it and change the weight.
It does not claim to know the day a machine will fail. It tells you which machines deserve attention first, and why, using your own records.
Related pages
- Condition monitoringThe readings and drift-to-limit projection behind the condition signal.
- Asset management softwareWhere criticality, age and AMC details live.
- Breakdown and downtime trackingThe breakdown history the score draws on.
- Preventive maintenance softwareWhere accepted drafts land on the schedule.
Frequently asked questions
Is the Asset Risk (Beta) score a black box?
No. The score is condition likelihood multiplied by criticality, blended from signals you already record, with weights your organization sets. Every factor links to the record it came from.
What if an asset has no sensor readings?
Missing signals are left out, not guessed. The score is built from the signals that exist for that asset, and the card shows how many it is based on.
Will it create work orders on its own?
It opens draft preventive work orders, based on the data already in your system, for the machines likely to struggle. Your planner accepts a draft to turn it into a work order, or dismisses it with a reason.
How do we get Asset Risk (Beta)?
It comes inside the condition monitoring add-on, which is included automatically with the Foundry & Metals package. It is in beta, so the details may change.