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Know which assets to fix first

Every asset scored by consequence × likelihood of failure - so capital and crew time go where failure would hurt most, not just where equipment is oldest.

6
consequence dimensions
5×5
risk matrix
1-25
risk score scale

Rank by risk, not age

A young generator that takes the building down outranks an old fan that fails quietly. Scores weigh what failure costs, not just when it might happen.

Scores that defend themselves

Consequence × likelihood replaces gut feel with arithmetic. When the board asks why this asset comes first, the answer is in the score.

From score to schedule

High-risk assets flow straight into replacement plans, PM frequency, and capital budgets - so assessment turns into action, not a binder on a shelf.

Every asset on one 5×5 map

AssetLab plots each asset by what its failure would cost and how soon that failure might come. The result is a score from 1 to 25 - and a portfolio that ranks itself, from run-to-failure up to replace-now.

  • Scores update automatically as your data changes
  • Clear bands: minimal, low, medium, high, critical
  • Sort and filter the whole portfolio by score
  • Spot risk concentration by site, building, or system
What is a risk assessment? →
Risk matrix · 5×5
Consequence × likelihood
Consequence →
5
10
15
20
25
4
8
12
16
20
3
6
9
12
15
2
4
6
8
10
1
2
3
4
5
Likelihood →
Chiller 1 · CoF 5 × LoF 420 · Critical
Every asset lands on this map - the top-right corner is your capital plan
Consequence of failure · Chiller 1
What failure would cost
Safety5 / 5
Service disruption4 / 5
Financial4 / 5
Regulatory3 / 5
Environmental2 / 5
Reputation2 / 5
Consequence of failure5 / 5 · Critical
A backup pump and a primary pump are identical - except one stops operations

Measure what failure would actually cost

Consequence isn't one number guessed in a meeting. Each asset is scored across six impact dimensions, so a fire suppression system, a fuel tank, and a lobby fountain each carry the consequence profile they deserve.

  • Safety, service, environmental, financial, regulatory, reputation
  • Each dimension scored 1-5, worst case drives the total
  • Custom criteria match your risk tolerance and regulations
See how risk feeds capital planning →

Likelihood from data you already have

No consultant study required. Age against expected lifetime, condition from inspections, repair frequency, and failure patterns - the records your team creates every day feed the likelihood score automatically.

  • Lifecycle percentage auto-calculated from install date
  • Condition scores captured through inspections
  • Repair and failure history counted in, not forgotten
Explore asset lifecycle tracking →
Likelihood of failure · Chiller 1
How soon it might break
Lifecycle92% of expected life
Condition2 / 5 at last inspection
Repairs5 work orders in 12 months
Failures2 in the last year
Likelihood of failure4 / 5 · High
Drawn from data your team already records - no separate assessment project

And everything else you'd expect

5×5 risk matrix
Every asset plotted and scored 1-25
Six consequence dimensions
Safety to reputation, scored 1-5
Data-driven likelihood
Age, condition, and maintenance history
Risk ranking
The whole portfolio sorted by score
Criticality flags
Mission-critical assets called out
Risk history
Scores tracked over time per asset
Custom risk criteria
Thresholds tuned to your risk tolerance
Risk reports
Board- and insurer-ready exports
Multi-site support
Unlimited sites, buildings, and locations
Having visual metrics on asset age and maintenance history in one place has changed how I think about long-term planning. I can see at a glance which assets are aging, what work has been done on them, and how that factors into our capital planning.
Mark Perkins
Facility Operations Manager, Calgary Winter Club
Read the full story →

Replace Guesswork
with a Risk Score.

Every asset scored, the whole portfolio ranked, and your capital plan pointed at the failures that would hurt most.

No credit card required

Risk Management FAQ

Common questions about risk scoring, consequence and likelihood of failure, and how risk drives maintenance and capital decisions.

What is asset risk management software?

Asset risk management software scores every asset by consequence of failure × likelihood of failure, so maintenance priorities and capital decisions follow measured risk instead of age or gut feel. The result is a ranked portfolio: what to fix first, what can wait, and what to simply run to failure.

How is an asset risk score calculated?

Consequence of failure (1-5, assessed across six impact dimensions) is multiplied by likelihood of failure (1-5, drawn from age, condition, and maintenance history) for a score from 1 to 25. Scores fall into bands - minimal, low, medium, high, critical - that map directly to action: monitor, plan, or replace now.

What is consequence of failure?

Consequence of failure measures what happens if an asset breaks: safety incidents, service disruption, environmental damage, financial loss, regulatory violations, and reputational harm. Two identical pumps can score very differently - the backup fails quietly while the primary stops operations.

How is likelihood of failure determined?

From data your CMMS already records: how far an asset is through its expected lifetime, condition scores from inspections, repair frequency, and failure history. There's no separate assessment project - the likelihood score updates as your team works.

How is risk scoring different from criticality analysis?

Criticality analysis only covers the consequence side - how much an asset matters. Risk scoring multiplies that by likelihood, so a critical asset in excellent condition ranks below a critical asset on borrowed time. That second factor is what makes the ranking actionable.

Does risk scoring connect to capital planning?

Directly. Risk rankings feed the asset replacement planner and strategic planning scenarios, so the assets at the top of the risk list are the ones your capital plan funds first.