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Pricing AI features

AI features have a cost of goods that traditional software never did. Price them as if every request is free and the unit economics will quietly bleed you.

Calculator and financial documents

Classic SaaS has near-zero marginal cost per user. AI breaks that assumption — every generation burns tokens, and heavy users can cost more than they pay. Pricing an AI feature like ordinary software is how a growing product loses money faster the more it succeeds.

Meter the expensive thing

Usage-based or credit models align price with cost. You do not have to nickel-and-dime users, but you do need visibility into who is consuming what, and a plan structure that keeps your gross margin positive as usage scales.

Value first, cost second

Anchor pricing to the outcome the feature delivers, then make sure that price comfortably clears your inference cost. If it does not, the feature is a marketing expense, not a product — and you should decide that on purpose.

The teams that win with AI treat cost as a product constraint from day one, not a finance surprise at the end of the quarter.

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Let there be clarity.

Tell us where you are and where you want to be. We'll come back with a concrete plan — no jargon, no lock-in.