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 / 733
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?
Reliability engineer
27%
#175 / 733
View rankingReliability engineer
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, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141