AI Costs Decoded: What Finance Teams Need to Know About LLM Spend
Details
If your company is shipping AI-powered products, someone on your finance team is staring at a growing line item they don't fully understand. This session is for them.
We'll break down how AI costs actually work — tokens, models, pricing tiers across OpenAI, Anthropic, and Google — in plain language that finance professionals can use. No ML background required.
Then we'll get practical:
What we'll cover:
- What tokens are, how they're priced, and why your bill looks the way it does
- The COGS vs. overhead distinction — why the AI powering your customer service bot hits the P&L differently than the chat your PM had about the product roadmap
- How to classify and track AI costs so they show up in the right place on your financials
- Instrumentation basics for the big three providers — practical steps you can take back to your team on Monday
Format:
~25 minutes of presentation, followed by a roundtable discussion where we dig into the specific challenges people are facing. Bring your questions, your frustrations, and your war stories.
Who this is for:
Finance, FP&A, accounting, and ops leaders at companies building or deploying AI. If you're the person who has to explain the AI line item to the CFO, this is your room.
The vibe:
Professional but not stuffy. We're at a bar. You'll learn something useful and meet other people solving the same problem.
