
Pricing AI: Three Levels of Value Visibility
AI vendors love to talk about data, but most of that talk misses the point. When AI takes over tasks that humans used to perform,

AI vendors love to talk about data, but most of that talk misses the point. When AI takes over tasks that humans used to perform,

There is a fantasy running around the business world that AI is finally going to take pricing off everyone’s plate. Plug in the model, feed

Buyers do not care how many tasks your AI performs or how many tokens it consumes. They care about results. In B2B, results show up

Pricing AI is hard because no single metric captures how value is created and how costs behave. A per-user fee feels simple but ignores automation.

Pricing metrics shape how buyers perceive value and how companies capture it. Choosing the right one is one of the hardest decisions in any business,

You can listen to the full audio version of this blog we call — Blogcast. With SaaS, per-seat pricing was simple, predictable, and familiar to buyers.

You can listen to the full audio version of this blog we call — Blogcast. A pricing metric is really the intersection of two perspectives: how

You can listen to the full audio version of this blog we call — Blogcast. I got so excited last week to dive into how to

You can listen to the full audio version of this blog we call — Blogcast. The value architecture has three layers: foundational problems, problem scope, and

You can listen to the full audio version of this blog we call — Blogcast. Pricing begins with understanding why buyers choose to make a purchase