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 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512