We created this AI Pricing Strategy Canvas because we saw plenty of buzzwords about AI pricing, but nothing that actually helped founders make real decisions.

This practical framework brings clarity through eight interconnected elements that turn your AI pricing from confusion into strategy. From aligning business value to technical capabilities, we've created a straightforward approach that helps you build sustainable pricing models.

Please note: The framework below is not a one-size-fits-all solution. Depending on whether you are AI-native, a SaaS company adding AI features, or adjusting your pricing structure to reflect AI capabilities, different parts of the framework will be relevant to you.

This canvas can serve as a starting point for discussing your pricing model and can also act as a checklist for your pricing exercise.

P.S. Below that canvas, Kris explains everything in a short walkthrough video.

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Seems confusing? No worries, we’ve recorded a video explaining everything. Step by step 👣

https://youtu.be/LDFMBfNrAqA

Couple of points for Valueships AI team

  1. Usage metrics / Value metrics: What you are charging for - metrics to choose depending on your pricing structure.
  2. Cost structure: With AI coming into play, costs and margins are becoming more important. Understanding how margins scale with increased usage will be vital for success.
  3. Multi-layered infrastructure: We believe that "good / better / best" models will become less important over time. However, the change will be gradual, starting from your current model and evolving by adding AI features, products, and services to create a multi-layered infrastructure.
  4. AI add-ons: Two key points:
  1. Hybrid revenue: A multi-layered infrastructure requires robust revenue tracking to ensure financial transparency. Be sure to track exactly what you are charging for.