Frameworks, core principles and top case studies for SaaS pricing, learnt and refined over 28+ years of SaaS-monetization experience.
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Y Combinator (the accelerator behind Airbnb, Stripe, and Dropbox) included AI-native agencies in its official Request for Startups for Spring 2026. This is not a minor signal. YC’s RFS is a curated statement of where the firm sees category-defining opportunities, and including professional services alongside its usual fare of developer tools and infrastructure plays was a deliberate provocation.
YC Group Partner Aaron Epstein has been the most vocal proponent of the thesis. They argue the professional services industry, a $700 billion-plus market, is ripe for disruption. AI now makes it possible to deliver knowledge work outputs with a cost structure that resembles software rather than labor.
Traditional agencies operate at 20 to 35 percent net margins, and revenue scales linearly with headcount because every new client requires proportionally more human labor. Epstein’s argument is that AI-native agencies can deliver the same outcomes at 65 to 80 percent margins, with delivery speeds an order of magnitude faster and the ability to scale without linear headcount growth.
Epstein’s framing is precise and worth dwelling on. He is not talking about agencies that use AI tools. He is talking about agencies where AI produces the work, and the humans provide strategic direction, quality control, and client relationships.
As he put it in YC’s Request for Startups, instead of selling software to customers to help them do the work, these firms charge more by using the software themselves and selling the finished product. This is a business model inversion: from SaaS (software as a service) to what some are now calling “service as software.”
Join companies like Zoom, DocuSign, and Twilio using our systematic pricing approach to increase revenue by 12-40% year-over-year.