Automation index

How much of a Insurance claims adjuster’s job can AI already do?

A claim form and some photos come earlier. Valuing the damage on site and closing the claim do not.

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

Task comparison

IS WORK OVER?

29%

AI can already do 29% of this job.

#68 / 623

Insurance claims adjuster

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
Read policy, claim form and cover. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
On-site inspection, photos and facts. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Value damage, parts and write the report. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Negotiate with garage, injured party and insurer. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Fraud, recoveries and clash with another adjuster. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Close the file and own the valuation. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		28%

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

IS WORK OVER?

26%

#211 / 623

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