Agentic technology or AI agents are one of the emerging themes for 2025. What functions can be packaged as agents? How will agents be priced? Integrations are a useful case study. Agentic AI approaches to integration offer more value than automation and will likely take over the highest value applications.

Outcome or results based pricing is a dominant theme in B2B SaaS these days. But can cybersecurity companies leverage this? How does one price for what you prevent happening? Cybersecurity pricing will evolve over the next decade to use outcome based pricing where possible.

AI agents are emerging as a standard way to deliver AI functionality, especially in B2B. This has been underlined by Salesforce’s recent Agentforce announcements. Agent pricing is evolving from inputs and number of agents to actions and outcomes. This evolution is framing how we think about pricing generativeAI.

AI agents are emerging as a standard way to deliver AI functionality, especially in B2B. This has been underlined by Salesforce’s recent Agentforce announcements. Agent pricing is evolving from inputs and number of agents to actions and outcomes. This evolution is framing how we think about pricing generativeAI.

Salesforce has announced that it will use consumption pricing for its AI agents going forward. Why is Salesforce taking this approach? What are the implications for other Vertical AI companies? Results of our LinkedIn poll.

Major generative AI vendors are looking for ways to make solutions more compelling, that is to say higher value. What are the emergent strategies? How are they creating value? How will this value get priced?