i-avantage
Tool

Freed capacity

The hours saved — how many people is that, and what does it become?

Hours given back by AI as full-time equivalents, then the three honest readings of the same number: capacity, growth, or a saving bounded by attrition.

  • ≈ 2 min
  • Free calculation · AI commentary on request
  • You leave with: Hours saved as FTEs, and the three ways to read them

The hours given back

8 h

Gross, as claimed. The model then applies adoption and realisation.

€/h
10 %

The pace at which a payroll saving is even possible: through unreplaced departures.

€/an

Enables the growth reading. Set 0 to ignore.

2.2 full-time equivalents freed. What that number becomes — capacity, growth or saving — is a management decision, not a calculation result.

A business case that books these FTEs as a year-one saving without saying through which departures loses the trust of the people who have to sign it.

The three readings

Full-time equivalents freed
2
1 — 5
of 120
Capacity value / year
€260,000
€91,000 — €550,000
redeployment, not saving
Realisable payroll saving, year 1
€260,000
€91,000 — €550,000
bounded by 10% attrition
Growth value / year
€390,000
€140,000 — €830,000
Reading

The figures above are computed and free. If you also want them read back to you — what they mean, what is specific to your sector, where to start — that is produced on request.

The detail

Cost line items
LineEstimate
Risk
“Cost” reading — bounded by attritionoften omitted

A payroll saving exists only through unreplaced departures. At 10% attrition, at most 12.0 FTE in year one.

€260,000
€91,000 — €550,000
Return
Gross hours claimed

120 people × 8 h/month × 12.

€11,520
Hours genuinely recoverable

After 60% active users and 50% realisation. The rest evaporates into less hurried days — not nothing, but not a euro.

€3,456
€1,210 — €7,344
“Capacity” reading

The hours are redeployed to work that was not getting done. Valued at loaded cost. This is growth or quality, not a saving.

€260,000
€91,000 — €550,000
“Growth” reading

Hours redeployed to revenue-generating work at the organisation's current revenue per hour. Assumes the demand exists to absorb it.

€390,000
€140,000 — €830,000

The assumptions

Every figure above rests on these. The ones marked “assumption” have no external source: they are modelling choices, labelled so they can be argued with rather than mistaken for measurements.

Hours per FTE
1600 h/anPublished
Effective annual hours in France, net of leave.
Attrition
10 %/anAssumption
The pace at which a cost reading is even possible. An organisation at 5% attrition takes twenty years to realise one FTE through natural departures.
Active users
60 %Published
Active use as a fraction of seats bought. Enterprise assistant deployments routinely report 30–60% sustained active use; the top of this range requires deliberate enablement, which is what the change-management line above pays for.
Realisation
50 %Assumption
The gap between hours saved and value realised. Twenty minutes saved across a fragmented day is often not recoverable as anything. This is the single biggest reason AI business cases overshoot, and it is why the tool never quotes raw hours × rate as a benefit.

What the calculation does, what the AI does

Every figure on this page comes from a deterministic algorithm running in your browser: the same input always gives the same result, and nothing is sent to produce it. AI runs only afterwards, to write the commentary from those figures. It produces none of them — the format it fills has no numeric fields — and any sentence quoting a value the calculation did not produce is removed before display.

Where to go next

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