Automation index
How much of a Financial controller’s job can AI already do?
A pack and a budget come earlier. Saying the margin is not that does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Financial controller
26%
AI can already do 26% of this job.
#196 / 623
View rankingFinancial controller
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 |
|---|---|---|---|
Reporting, budgets and variances.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Close, provision and check against the books.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Management, plants and P&L owners.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Systems, masters and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Audit, controls and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not dressing an EBIT.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
- Reporting, budgets and variances
- Management, plants and P&L owners
- Systems, masters and data quality
- Audit, controls and documentation
- Not dressing an EBIT
- controller
- control de gestion
- financial controller
Sources for this job· O*NET 13-2011.00· ESCO/ISCO 2411
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