Automation index
How much of a Tax inspector’s job can AI already do?
A data match comes earlier. Sitting across from the taxpayer and signing the adjustment do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tax inspector
28%
AI can already do 28% of this job.
#104 / 623
View rankingTax inspector
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.
| Task | Share | AI | Points |
|---|---|---|---|
Data matching, returns and sampling.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Requests, minutes and the proposal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The visit, the second till and what is not in the sheet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Objections, appeals and the tax tribunal.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The team, deadlines and the file that slips.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
A fair adjustment and signing the minute.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- match tax data
- raise assessments
- request papers
- visit taxpayers
- adjust tax
- objections
- tax tribunal
- tax inspection
Sources for this job· O*NET 13-2081.00· ESCO/ISCO 3352
IS WORK OVER?
Last-mile manager
26%
#211 / 623
View rankingLast-mile manager
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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo 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
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324