Learn practical, battle‑tested ways to make AI features truly profitable. Hosted by Atlassian’s Axel Sooriah, with pricing and growth experts Kyle Poyar and Aakash Gupta, this session covers pricing models for AI products (seat based, hybrid models, outcome‑based pricing), cost drivers, retention impact, and go‑to‑market strategies that align price with value.
AI features don’t fit old SaaS pricing. A small group of heavy users drives most compute spend while casual users churn, making flat per‑seat pricing risky and unpredictable.
Many teams ship AI that doesn’t deliver strong, repeatable value, or they use pricing that rewards the wrong behavior. Costs vary with model choice and usage, and changing legacy pricing without care can upset customers. Outcome pricing sounds great, but measuring and attributing results is hard.
You’ll learn simple, proven approaches: use platform fees plus credits to balance predictability and scale, apply outcome‑based pricing when results are clear, and follow “hill‑climbing” to launch at a quality bar, prove retention, then optimize costs. See how to test pricing with new cohorts, migrate existing customers smoothly, and align price with the value users actually get.
