The Four Layers of AI Cost: A FinOps Playbook for the CFO Conversation

In this webinar

Token prices dropped 80% in the last 18 months. Enterprise AI bills kept rising anyway. Both are true at the same time, which is why you can ask a FinOps lead how much the company spends on AI and get a confident answer, then ask to see the bill and get nothing close.

In this on-demand session, Asaf Liveanu (CPO and Co-Founder, Finout) and Siddharth Jain (AI Engineering Lead, OpenAI) map where AI spend actually lives, across the cloud bill, direct provider contracts, developer tools, and the SaaS renewals already on the books, and walk through the questions finance is bringing to the table now that AI has moved from a dev experiment to a production cost.

Key takeaways

• Why AI cost has become a CFO conversation, and why a single "AI spend" line no longer holds up

• How to map the four layers where AI spend actually lives: cloud-native AI, direct provider contracts, developer tools, and shadow AI inside your SaaS stack

• Why AI cost visibility breaks down, from contract terms and provisioned capacity to business attribution

• How to answer the questions finance is already asking, from total spend to ROI per token, per PR, per project