Description

AI changed what you sell. It also changed how you should charge for it. Seat-based SaaS pricing was built for software that costs almost nothing to serve. AI is different: every model call carries a real cost, buyers want to pay for results instead of logins, and the market resets every few months. Price an AI product like old software and you either leave most of your revenue on the table or lose the deal to a competitor who priced it right.

Pricing AI Products is a working guide for the shift from SaaS pricing to AI pricing. It shows you how to choose the one unit to charge for, the value metric that grows as your customer succeeds, and how to decide among usage-based, token, credit, and outcome-based pricing models. It also tackles the part most founders get wrong: migrating an existing SaaS customer base to a new AI pricing model without triggering churn or a pricing revolt.

Inside, you will learn how to:

Choose a value metric and pricing model that scale with the value you create, not the seats you fill
Compare usage-based, token, credit, and outcome-based pricing, and know when each one fits
Package and tier your product so buyers choose the plan you intend
Protect gross margin when inference and model calls cost real money
Move from SaaS to AI pricing and reprice existing customers without a revolt
Price a launch for adoption, then raise prices as you prove value
Run pilots and business cases that convert into contracts that renew

This is a playbook, not a theory book. Every chapter turns a hard pricing question into a decision you can make, backed by real numbers and examples from the companies setting the pace in AI.

Written for startup founders, product managers, pricing and monetization leaders, growth and marketing teams, and investors who want AI products that are profitable, not just popular.

Nitin Kumar is a multi-scale CEO and two-time exit founder, a former management consultant to PE and VC firms, and a globally recognized pricing expert who has coached more than 100 founders on pricing. He is also the author of Who Makes Money in AI, Build and Operate AI Companies, and The Startup Pivot Playbook.

If you are building, launching, or scaling an AI product, keep this pricing guide on your desk.