Getting AI pricing right in 2026 with Rillet & Chargebee
AI pricing is one of the most consequential decisions a company makes right now. Seats, tiers, and flat fees are giving way to models that actually reflect the value AI delivers, and MCP is accelerating agent adoption fast enough that the old assumptions don't hold.
Join Radi Hindawi (Head of Revenue Strategy & Intelligence, Chargebee) and Stephen Hedlund (Head of Finance, Rillet) for a working session on what's actually happening with AI pricing today: which models hold up at scale, how to build billing infrastructure that gives you room to experiment, and what MCP means for how you charge, bill, and recognize revenue going forward.
What you'll walk away with:
Which AI pricing models are working today, and which ones fall apart at scale
How to build billing infrastructure before you lock in a pricing decision you can't undo
Rillet's own experience deciding whether, and how, to charge for MCP-enabled workflows
Who Should Attend
Finance leaders, accountants and controllers, RevOps, and founders at SaaS and AI-native companies making (or rethinking) pricing decisions.
About your hosts
Stephen Hedlund, Head of Finance at Rillet, brings over a decade of experience in finance and accounting. An MBA graduate from Chicago Booth, he began his career at Walmart, and later went on to support growth-stage Silicon Valley startups, including Molekule, OpenSpace, and Mercury. Stephen is passionate about building strong financial foundations to drive company growth, and outside of work, he’s a proud husband and father of two young toddlers.
Radi Hindawi, Global Head of Revenue Strategy and Intelligence at Chargebee, helps customers turn usage data and AI monetization strategy into hard revenue results. He works at the frontline of how usage-based and AI pricing models translate directly into ROI.