The most disruptive AI pricing models so far ‡
1. Salesforce: $2 per conversation (Agentforce)
2. Intercom: $0.99 per AI resolution (FinAI agent)
3. Intercom: 10 free tickets per agent, per month (FinAI copilot)
4. Zendesk: Per successful autonomous resolution (Zendesk AI)
5. Microsoft: $4 per hour of usage (AI copilot for security)
6. OpenAI: Per input/output token (GPT-4o)
7. 11x: Per task completed by the AI SDR
8. Clay: Per credit with a credit = a data point or action
9. copy.ai: Per workflow credit
10. relay.app: Per workflow step
11. Bardeen AI: Per automation credit
12. Zapier: Per task automated
13. Captions: Per AI video generation credit
14. Kittl: High watermark of AI credits per day
15. Synthesia: Per minute of video
16. Imagen: Per AI photo edit
17. Aftershoot: Unlimited AI photo edits
18. DeepL: Per user & editable file translation
19. Chargeflow: 25% per successful chargeback
20. EvenUp: Per demand package generated by AI
β
Two trends I'm noticing from the disrupters:
π Folks are now selling "units of work" completed.
This is a massive paradigm shift from previous eras where we charged based on *access* to the software (seats).
π But true outcome-based pricing is still quite rare.
It seems like a win-win, but it's incredibly tough to pull off. As soon as you start charging for success, the customer begins to rethink the results.