IS WORK OVER?

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

Billing 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.

TaskShareAIPoints
Orders, delivery notes and the invoice.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
VAT, withholdings and the one that does not square.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Credit notes, the credit and the client who argues.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Close, the immediate supply and the deadline.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Sales, the extra and not over-billing.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
The right invoice, and not blocking the client.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%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

Station master

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.

TaskShareAIPoints
Graph, orders and the station log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Incident, passengers and the PA.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%23%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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