Automation index

How much of a Probation officer’s job can AI already do?

A reporting calendar comes earlier. Stopping reoffending and calling it when it turns do not.

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

Task comparison

IS WORK OVER?

24%

AI can already do 24% of this job.

#261 / 633

Probation officer

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
The order plan, reporting and the conditions. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Visit, interview and what they do not say. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Reports to the judge and the breach. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Network, work and the resource that is not there. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The victim, the offender and not mixing roles. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Call it in time, and not dressing the follow-up. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		24%

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