Automation index

How much of a Crime scene technician’s job can AI already do?

A trace protocol comes earlier. Not contaminating the scene so it holds up in court do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#315 / 633

Crime scene technician

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.

Task	Share	AI	Points
Inspection, photos and the scene sketch. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Collect traces, prints and the DNA that gets walked on. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Chain of custody, labels and the lab. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Report, reconstruction and the file. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dirty scene, the rush and the one who enters ungloved. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it holds in court, and not breaking the chain. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		23%

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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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.

Task	Share	AI	Points
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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