Webinar Recap: AI Monetization Is Changing the CFO’s Job
This webinar explores how AI monetization is reshaping pricing models, why usage-based contracts expose gaps between product, sales, and finance, and what finance leaders need in place before a new pricing model reaches the revenue ledger.
What This Session Covers:
In this fireside conversation, RightRev CEO and Founder Jagan Reddy joins Adam Klein, CFO of Metronome, a Stripe product, with moderator Angela Liu, Founder of Gaapsavvy, to discuss what happens downstream when companies launch AI products on usage, credit, and token-based pricing. Jagan brings the perspective of someone who has built multiple revenue products over his career. Adam brings the view of a CFO who has run usage-based billing at two companies and now works with many of the AI companies adopting it.
A central theme is ownership. Product teams often own metering and billing, sales models the deal, and finance inherits the output. When those groups design pricing separately, metering can ignore contract terms like free credits, tiered pricing, or custom billing frequencies. Jagan explains how that disconnect forces workarounds, data manipulation, and in some cases changes to revenue policy itself once finance finally gets involved.
Another focus is free credits. Both speakers walk through how auditors may require free credits to be valued and amortized across the contract term, and why that becomes difficult in pay-as-you-go arrangements with no defined end date. Adam shares how accounting for free credits on usage products can create negative revenue in early months, and what that means for board reporting.
The session also addresses the build vs. buy question for companies running revenue logic on top of a data warehouse. Jagan describes RightRev’s internal exercise of using AI to build an SSP allocation module, where the first half came together in days and the remainder took months of expert-guided iteration. The speakers discuss why maintenance, ongoing edge cases, and team turnover make in-house revenue systems fragile as pricing changes.
Why This Topic Is Showing Up More Often
AI products are changing how software is sold. Companies are moving existing SaaS lines onto usage and credit models while launching new AI offerings with pricing that may change quarter to quarter. Each change touches every function from the opportunity to the ledger.
When finance joins late, the cost of fixing the process can far exceed the cost of designing it correctly up front. Revenue teams end up reconciling millions of usage transactions, reallocating credit pools across services month by month, and defending policies to auditors without a clean event trail from contract to revenue.
What Viewers Will Learn
- Why AI monetization requires finance in the room when pricing is designed
- How free credits are treated under ASC 606 and why auditors may require amortization
- How SSP allocation works when a single credit bucket is consumed across different services each month
- Where in-house revenue logic built on a data warehouse breaks down
- How usage-based models affect sales commissions and ARR
- Why outcome-based pricing starts with defining what counts as an outcome
Who Should Watch
This webinar is designed for CFOs, VPs of Finance, controllers, and revenue accounting leaders at high-growth software and AI companies that:
- Sell on usage, credit, token, or consumption-based pricing
- Are launching new AI products or migrating SaaS products to usage models
- Offer free credits or prepaid credit buckets
- Run revenue logic in spreadsheets or on top of a data warehouse
- Are evaluating outcome-based pricing
Watch the session to hear how Jagan and Adam approach AI monetization and what finance teams should plan for as pricing models keep evolving.
Want to learn more? Read our blog on why AI pricing models are outpacing revenue recognition.
If you are ready to support new AI pricing models without rebuilding your revenue process each time, request a demo to see how RightRev can help.
