
Designing Hybrid and Evolving Pricing Models for AI
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 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.

With SaaS, per-seat pricing was simple, predictable, and familiar to buyers. It became so common that many equated “SaaS pricing” with “seat-based pricing.” But AI

Every day a new vendor pops up promising “AI powered” this or “machine learning” that. Budgets are being carved out, boards are asking about AI

A pricing metric is really the intersection of two perspectives: how the buyer measures value (their KPIs) and what the seller can and does measure

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

Mark, Why Does This Distinction Matter? In AI, whether you are selling a platform or a solution is one of the most important strategic decisions

You can listen to the full audio version of this blog we call — Blogcast. Buyers trade money for value. They don’t care what it takes

You can listen to the full audio version of this blog we call — Blogcast. One of the most important lessons in pricing is this: Buyers