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
IS WORK OVER?
Collections officer
27%
AI can already do 27% of this job.
#155 / 623
View rankingCollections 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.
| Task | Share | AI | Points |
|---|---|---|---|
Ageing, buckets and the call.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Legal, the formal notice and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Sales, credit and not selling to a debtor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The default, the insolvency and not dressing the balance.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Collect, and not breaking 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
- ageing
- collection calls
- promissory notes
- formal notice
- trade credit
- defaults
- debtors
- buckets
Sources for this job· O*NET 43-3011.00· ESCO/ISCO 4214
IS WORK OVER?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation 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.
| Task | Share | AI | Points |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635