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shiftlabs

Simulator · order of magnitude

Seven assumptions, all adjustable, and a calculation laid out line by line: recoverable hours, value of the time freed up, payback period. Everything is calculated in your browser; nothing is sent.

  • 7 adjustable assumptions
  • Calculated in your browser
  • No data sent
  • An order of magnitude, not a commitment

Your assumptions

Examples, to be replaced with your figures. Up and down arrows: one step more or less.

Scope

Those whose work changes with the agent.

Per person: data entry, reconciliations, follow-ups, formatting.

Leave and public holidays deducted.

Value of time

Salary and employer contributions, per hour worked. €45 is an example: replace it with your own cost.

Conservative default: 20%. A high share assumes highly standardised tasks.

Cost

By default, the published starting price of the Pilot offer (“from €12k” excl. VAT). Adjust it to your quote and your internal costs.

Subscription, maintenance, model usage. 0 in the example: add them if you know them.

€20k per year · payback 7.1 months

The estimate

Annual value of recovered time

€20kper year

An order of magnitude, not a commitment.

Value of the time freed up, at fully loaded cost: it only becomes a saving if that time is reallocated to useful work. The result is only as good as the assumptions entered.

Recoverable hours per year

450hours

10 × 5 h × 45 weeks × 20%

Return on investment

7.1months

For €12k invested, with no recurring costs.

Cumulative net value over 18 months

Recovered time valued, minus the initial investment and recurring costs, month by month. Linear estimate: no ramp-up is simulated.

Left and right arrows to move through the months, Home and End for the ends, Escape to hide.

Estimated return on investment: 7.1 months, where the curve crosses zero.

Transparency

How the calculation is done

Five formulas, no hidden coefficient. Your assumptions stay in your browser: they are kept in the page address, after the # sign, which is never sent to the server.

  1. Recoverable hours per year

    = people × hours per week × weeks worked × share that can be automated

    With your assumptions: 10 × 5 × 45 × 20% = 450 hours

  2. Annual value of recovered time

    = recoverable hours × fully loaded hourly cost

    With your assumptions: 450 hours × €45 = €20k

  3. Net gain per month

    = annual value ÷ 12 − monthly recurring costs

    With your assumptions: €1.7k − €0 = +€1.7k

  4. Return on investment, in months

    = initial investment ÷ net gain per month (never, if that gain is zero or negative)

    With your assumptions: €12k ÷ €1.7k = 7.1 months

  5. Cumulative net value at month m (0 to 18)

    = m × net gain per month − initial investment

    With your assumptions: the chart and its table, above

What the calculation leaves out

  • ramp-up: use of an agent builds over several months, which pushes back the payback;
  • framing and deployment time before the first month of gain;
  • internal costs: your teams’ time, change management;
  • reallocation of the time freed up, without which the calculated value remains theoretical.

These assumptions deserve to be checked in the field.

A conversation lets us test them against your teams’ real work: SHIFTLABS runs interviews through agents, validated by an expert, before putting a figure on anything.

Book a 30-minute call

The copied summary includes your assumptions and your results, to paste into the contact page. Nothing is sent without your action. Also gauge your AI maturity in 3 minutes.

AI agent gain simulator: hours, value, payback, SHIFTLABS