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?
Data scientist
40%
#6 / 623
View rankingData scientist
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 |
|---|---|---|---|
Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 55% | +7.7 |
Manage timely flow of business intelligence information to users.EstimateNo public source provides a precise figure. This is our estimate. | 13% | 28% | +3.6 |
Maintain or update business intelligence tools, databases, dashboards, systems, or methods.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 48% | +5.3 |
Provide technical support for existing reports, dashboards, or other tools.EstimateNo public source provides a precise figure. This is our estimate. | 9% | 55% | +5 |
Synthesize current business intelligence or trend data to support recommendations for action.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Collect business intelligence data from available industry reports, public information, field reports, or purchased sources.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Identify or monitor current and potential customers, using business intelligence tools.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 29% | 28% | +8.1 |
| Total | 100% | 40% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- analyse data
- models
- dashboards
- python
- information structure
- data warehouse
- database
- web programming
- ICT security legislation
- business process modelling
Sources for this job· O*NET 15-2051.01· ESCO/ISCO 2521