The FinOps
Built the discipline that tamed the cloud bill
FinOps is the practitioner who built cost accountability for cloud infrastructure and is now applying it to AI. They ask which workload is worth the token budget. They bring accountability to a category that had none. They are also learning, sometimes painfully, that AI cost curves don't behave like cloud cost curves.
Symptom
Dashboards that track token spend per workload. Budget alerts that fire before the bill arrives. Showback reports that make teams think twice before running inference. But also: cost cliffs that don't map to cloud cost curves, and usage patterns that spike without warning because someone gave an agent access to a new tool.
Why It Matters
FinOps is the organization's best hope for AI cost governance — but they're fighting a new kind of problem. Cloud costs scale with usage. AI costs scale with usage, agent autonomy, model selection, and prompt design. The tools that worked for cloud don't always work for AI, and the learning curve is real.
What the Chapter Gives You
How FinOps practices translate to AI cost governance, where they break down, and what new approaches are needed for token economics, agent spend, and inference budgeting.
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