IS WORK OVER?

Automation index

How much of a Property manager’s job can AI already do?

Minutes and a levy come earlier. A meeting that does not end in shouting does not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Property manager

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
Minutes, levies, accounts and contracts.
Estimate

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

18%48%+8.6
Meetings, neighbours and porters.
Estimate

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

18%14%+2.5
Vendors, works and incidents.
Estimate

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

16%22%+3.5
Rules, insurance and arrears.
Estimate

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

16%28%+4.5
Building visits and maintenance.
Estimate

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

16%16%+2.6
Not leaving a building without heat in January.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • Minutes, levies, accounts and contracts
  • Meetings, neighbours and porters
  • Vendors, works and incidents
  • Rules, insurance and arrears
  • Building visits and maintenance
  • administrador de fincas
  • property manager

Sources for this job· O*NET 11-9141.00· ESCO/ISCO 3334

Last-mile manager

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
Zones, capacity and route cuts.
Estimate

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

16%44%+7
KPIs, first attempt and incidents.
Estimate

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

16%36%+5.8
The courier, the lobby and the one who will not open.
Estimate

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

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

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

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

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

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
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

  • delivery zones
  • first attempt
  • delivery KPIs
  • last-mile peaks
  • lobbies
  • delivery incidents
  • courier capacity
  • cut routes

Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324

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