IS WORK OVER?

Automation index

How much of a Fire investigator’s job can AI already do?

A cause report comes earlier. Calling a short or a rag without selling it to the insurer do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Fire investigator

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Scene, the origin and not treading it.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Cause, the short and the rag.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Sample, the lab and the one that does not fit.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Report, the insurer and not selling it.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The judge, the hearing and not jumping to a yes.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Call the cause, and not selling it to the insurer.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • fire origin
  • shorts
  • rags
  • samples
  • expert reports
  • insurers
  • the scene
  • not tread

Sources for this job· O*NET 33-2021.00· ESCO/ISCO 3119

Facilities engineer

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
CMMS, tickets and the PPM.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Roof, the chiller and the one that will not start.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Generator, the diesel and not leaving it dry.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Fire, the pump and the monthly test.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The tenant, August and not jumping to a yes.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That cooling does not die, and not leaving the generator dry.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • CMMS
  • PPM
  • chillers
  • generators
  • diesel
  • fire pumps
  • roofs
  • tickets

Sources for this job· O*NET 17-2199.00· ESCO/ISCO 2149

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