IS WORK OVER?

Automation index

How much of a Collections officer’s job can AI already do?

An ageing comes earlier. Collecting without breaking the client or letting the invoice die do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Collections officer

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
Ageing, buckets and the call.
Estimate

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

18%48%+8.6
Deal, the promissory note and the one who does not answer.
Estimate

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

16%40%+6.4
Legal, the formal notice and the one who hides.
Estimate

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

16%22%+3.5
Sales, credit and not selling to a debtor.
Estimate

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

16%28%+4.5
The default, the insolvency and not dressing the balance.
Estimate

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

18%14%+2.5
Collect, and not breaking 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

  • ageing
  • collection calls
  • promissory notes
  • formal notice
  • trade credit
  • defaults
  • debtors
  • buckets

Sources for this job· O*NET 43-3011.00· ESCO/ISCO 4214

Traffic 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.

TaskShareAIPoints
Counts, the model and the microsim.
Estimate

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

18%48%+8.6
Junction, the timings and the pedestrian.
Estimate

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

16%40%+6.4
Works, the diversion and not choking the neighbourhood.
Estimate

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

16%22%+3.5
Report, the councillor and not painting the miracle lane.
Estimate

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

16%28%+4.5
The crash, the figure and not hiding it.
Estimate

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

18%14%+2.5
That the junction does not kill, and not painting extra.
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

  • microsims
  • counts
  • junction timings
  • pedestrians
  • diversions
  • councillors
  • crashes
  • lanes

Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142

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