Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Pricing an Agentic AI product follows the same steps as pricing any other software. The big decisions, and the order you make them in, stay the same. What changes is the answers. Agentic products have different economics from traditional SaaS, so older approaches like per-user pricing often no longer fit.
Every idea in this chapter comes back to five real AI agent companies. If you understand how pricing works for these five, and how it fails, you can price almost any AI agent. That is why we keep returning to them throughout the chapter.
The five sit at different points on the same scale. At one end is Cursor, an AI coding tool where the developer still does the work, so it prices like normal software and charges per user. At the other end is Sierra, which handles customer service on its own and only charges when it solves a problem. In between are Devin, which writes and ships code by itself; Harvey, a legal assistant used by top law firms; and 11x, a sales agent that finds leads and books meetings. Together these five are worth more than $60 billion, and each one prices its product in a different way.
Each company made its own choices about packaging, pricing metric, and price point. We will look at those choices one at a time, right after we introduce the pricing framework.
Pricing design is a five-step process. The steps run in order, and each one sets up the next, so the work you do early shapes how well the later steps can work. The table below shows what happens at each stage and why it matters. (see Figure 5)
Figure 5. The five-step pricing transformation - steps run in order; packaging and pricing metric (Steps 2 and 3) are where most of the value is made and the hardest to fix later.
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