Usage-based AI pricing is here. Vendors have adopted it. Buyers are navigating it. But neither side has standard playbooks yet — and the cost of getting it wrong is high. Free-tier costs bleed margin. Unexpected overages kill customer relationships. Sales gets tangled in contract negotiations because nobody aligned on policy upfront. You're making these decisions without a clear framework, and that's creating friction across your entire go-to-market motion.

The decisions you make now define your margin for years. How much do you give free? How do you forecast what customers will consume? How do you communicate usage without creating support overhead? These aren't footnotes — they're the difference between 10–20% margin uplift and customer churn. And right now, most vendors are making them in silos, often at odds with each other. The result is inconsistent contracts, margin leakage, and the kind of customer friction that kills lifetime value.

Verdantix has analyzed how 40+ vendors are solving this. Our recent report, Rethinking SaaS Pricing Models in an AI Age, gives you vendor examples, buyer expectations, and the trade-offs that separate smart decisions from expensive mistakes.