Automation index

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

A stock equality plan comes earlier. Stopping what happens in the corridor 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.

#72 / 623

Equality 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
Diagnosis, equality plan and the pay register. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Harassment protocols, training and clauses. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
The complaint, the committee and what nobody wants to hear. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Indicators, annual report and bargaining with the firm. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The agreement, tenders and social clauses. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
That it is done, and not left as a PDF. 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