Automation index
How much of a Billing clerk’s job can AI already do?
An ERP comes earlier. Issuing the right invoice without blocking the client do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Billing clerk
27%
AI can already do 27% of this job.
#152 / 623
View rankingBilling clerk
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 |
|---|---|---|---|
Orders, delivery notes and the invoice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
VAT, withholdings and the one that does not square.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Credit notes, the credit and the client who argues.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Close, the immediate supply and the deadline.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sales, the extra and not over-billing.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
The right invoice, and not blocking the client.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
- delivery notes
- invoices
- VAT
- credit notes
- immediate supply
- billing close
- withholdings
- orders
Sources for this job· O*NET 43-3021.00· ESCO/ISCO 4311
IS WORK OVER?
Prompt engineer
34%
#21 / 623
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512