Good Pricing Grows with the Value You Deliver (www.hauser.io)

Notehouse, a portfolio company focused on leveraging AI, is revolutionizing pricing strategies in software and services by decoupling value from traditional time-based models. Recent insights revealed that while agencies and SaaS companies commonly bill based on hours or seats—indicative of a diminishing return as efficiency increases—AI agents can perform tasks such as BI check-ins and SEO research in a fraction of the time. This shift introduces the "efficiency penalty," where customers gain more value at a lower cost, prompting a need for businesses to rethink pricing structures. Two emerging models are suggested for adaptation: outcomes-based pricing, where customers pay for specific deliverables like completed contracts or leads, and consumption-based pricing, which charges based on usage (tasks or tokens). While the outcome model fosters alignment between customer value and vendor performance, the consumption model risks reducing a software business to mere computation reselling. The article emphasizes the importance of continually reassessing pricing strategies to align with evolving value propositions in an AI-driven landscape, suggesting that businesses that adapt early will have an advantage in maintaining customer satisfaction as efficiency increases.