Companies used to budget AI as a few ChatGPT seats. Now finance asks about tokens, usage spikes, and whether Claude, Gemini, and automation runs are a second cloud bill. That shift is healthy.
The real cost stack
- Seats and plan tiers
- API tokens for builders and automations
- Integration and maintenance time
- Review labor when outputs are wrong
- Risk costs: leaks, bad advice, customer harm
ChatGPT, Claude, Gemini: budget like utilities
Pick defaults per job. Cap API projects. Separate experimental sandboxes from production workflows. If a team cannot show which process owns the spend, pause the cards.
Tokens vs headcount
Tokens are variable cost tied to volume. Headcount is fixed and comes with judgment. Most healthy setups mix both and review monthly, the same way you review cloud waste.
A usable budget line names the workflow, the tool, the monthly cap, and the owner.
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