An emergent pattern in the agent economy is for companies to provide their customers with the ability to build custom agents that sit on their platforms and help the customer get more value. These are often called User Built Agents. How is value created for customers with this new functionality? How will it be priced? Ibbaka used it value model generation AI to explore these critical questions.

On April 24 Ibbaka published some important research on pricing and billing in the agent economy. This is the first in depth report on the emergent Agent Economy. Agents are becoming one of the primary ways that generative AI functionality is being brought to market. The report is rather long, more than 80 pages, and in today’s high paced world not everyone will want to invest the time to read in depth We get that. Here are a series of prompts, and responses from Perplexity, that give different entry points into the report.

Pricing AI Agents is a critical challenge for pricing and innovation in 2025. Two approaches have emerged so far, the Ibbaka Agent Pricing Layer Cake and the Growth Unhinged Agent Pricing Matrix. Let’s look at how these work and how they can be used to price AI agents. As credit based pricing is becoming common for AI agents the two approaches are combined to address this.

The Agent Economy is rewriting the rules for B2B software and launching a revolution as important as the one Salesforce launched back at the beginning of the 21st C with its ‘No Software’ SaaS business model. Ibabka has compiled extensive research, including primary research, on the implications of agents for value, packaging, pricing and billing. This extensive report will help you execute on the changes we all need to make.

The agent economy will replace the subscription economy and most value currently captured within enterprise software will be delivered by agents. This will require new approaches to pricing. By combining the Jobs to be Done approach to pricing with the Ibbaka AI agent pricing layer cake there is a path forward for Agentic AI companies.