Automation index
How much of a Banquet manager’s job can AI already do?
A menu and a table plan come earlier. The service going out without the plate going cold do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Banquet manager
22%
AI can already do 22% of this job.
#345 / 633
View rankingBanquet 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.
| Task | Share | AI | Points |
|---|---|---|---|
Menu, plan and the timing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Set-up, staff and the one who is late.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Service, the toast and the one without a plate.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Kitchen, the pass and not working too far ahead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The groom, the change and not mixing allergies.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
The service goes out, and the plate hot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- table plans
- banquet timing
- set-up
- toast
- kitchen pass
- allergies
- floor staff
- menus
Sources for this job· O*NET 35-1012.00· ESCO/ISCO 1412
IS WORK OVER?
Salesforce administrator
28%
#77 / 633
View rankingSalesforce administrator
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 |
|---|---|---|---|
Objects, flows and permissions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Reports, dashboards and data clean-up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The rep who will not log in and the real process.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Releases, sandboxes and not breaking production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
IT, legal and the field you cannot have.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they use it, and not inflating licences.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Salesforce flows
- permissions
- CRM reports
- data clean-up
- sandboxes
- custom objects
- dashboards
- sales adoption
Sources for this job· O*NET 15-1242.00· ESCO/ISCO 2522