Make AI easy to buy: usage-based pricing without surprise bills

AI is changing how we price software. As inference costs, credits, and agentic usage make flat subscriptions harder to sustain, AI companies need to move towards usage-based and hybrid monetization models.

But, buyers are not automatically comfortable with the shift. Especially in enterprise, they are worried about runaway spend, surprise bills, exhausted commits, and losing access to critical workflows mid-contract. That fear is starting to show up in sales cycles, RFPs, procurement reviews, and board-level pricing conversations.

In this session, we’ll define the trust layer required to make usage-based AI monetization enterprise-ready. We’ll cover what customers increasingly expect before they sign: spend limits they control, live usage visibility, forecasted burn, graceful warnings, and real-time enforcement.

You’ll leave with a practical model for making AI easier to buy, safer to scale, and better aligned.