IS WORK OVER?

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

Financial 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.

TaskShareAIPoints
Reporting, budgets and variances.
Estimate

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

20%48%+9.6
Close, provision and check against the books.
Estimate

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

16%32%+5.1
Management, plants and P&L owners.
Estimate

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

16%22%+3.5
Systems, masters and data quality.
Estimate

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

16%18%+2.9
Audit, controls and documentation.
Estimate

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

16%16%+2.6
Not dressing an EBIT.
Estimate

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

16%14%+2.2
Total100%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

Logistics 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.

TaskShareAIPoints
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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