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?
Data analyst
40%
#5 / 623
View rankingData analyst
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