Price the use case.
Not the AI label.

Put the promised minutes, review work, data exposure, and monthly premium on the same balance sheet.

Built from the claim: AI is useful in specific cases; the rest can become a reason to charge more.

Make the assistant earn its keep.

A useful feature survives explicit assumptions. A vague promise disappears as soon as review time and price enter the same equation.

Your use case

Decision

EARNS ITS KEEP

This specific use case clears its premium with room for uncertainty.

$120.88net value each month
6.0useful min / use
$155.88gross monthly value
3.35gross min / use to break even
4.45xvalue / monthly cost

(minutes saved - review) x uses x 4.33 / 60 x hourly value - premium - data allowance

A claim becomes useful when it can fail.

The audit keeps the skeptical parts visible, so a negative result is as useful as a positive one.

Specific use case, specific frequency.

"Has AI" is not an input. Name the task and count how often it actually happens. The calculation changes when the use case changes.

Saved time minus the work AI gives back.

Review, correction, and cleanup are not free. Useful minutes are the gross promise after that overhead is paid.

The verdict exposes its own threshold.

Break-even minutes show exactly what must be true for the premium to make sense. Export that boundary and test it against real use.

Keep the proof. Lose the pitch.

The export records your assumptions, outputs, formula, and verdict boundary in a plain-text decision brief.

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