Many agents are being introduced to the market to help with the saes process. There are AIs for Sales Development Representatives, for crafting sales content and for analyzing calls. Most modern CRMs use AI to predict what will close and when. What will happen when these agents encounter agents acting for the buyer? This is happening today and the world is about to get a lot weirder. We offer case studies for buyers of CRMs and sales intelligence.

The Ibbaka AI Monetization in 2025 survey report is getting a lot of interest as it has the deepest data on how AI-enabled B2B SaaS and B2B AI are being monetized. On January 23 Ibbaka will have a webinar with pricing and monetization experts Mark Stiving and Michael Mansard to go deep into the findings and recommendations.

Ibbaka’s second Annual report on AI Monetization is now available. The report is based on a survey of more than 300 B2B companies that are bringing AI enabled or AI applications to market. It includes four mini case studies, proposes four emerging packaging patterns and defines three different approaches that companies are taking. The report is essential reading for anyone in the B2B AI applications space.

OpenAI has released its newest reasoning model o3. How will it be priced? Will OpenAI move from token pricing to task pricing? How would task based pricing work for o3? How would it impact pricing of agents and applications using o3?

Commercialization of B2B generative AI is coalescing around four patterns: Co-Pilots, Agents, Generators and Service as Software. Which pattern will dominate in 2025? How does one price each of these patterns? Prepare for change in 2025.

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.

Amazon is making some big plays as it tries to establish a growth flywheel for AWS in the generative AI era. This includes offering its own chips as alternatives to Nvidia, offering its own models, and supporting the idea that no one model will or should win. Amazon’s pricing for its own models is generally cheaper than the alternatives. How will this impact packaging and pricing in 2025? We offer some suggestions.

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.

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?