A FinOps pass over an LLM usage log: it reads a month of calls plus a pricing table and reports how much spend is recoverable - with the dollars behind every recommendation. On the synthetic demo month: 38.9% of spend recoverable, and the single biggest win (moving one classify workload to a smaller model) worth $16.28 on its own. The dollars are small because the demo log is small; the percentages and the ranking port directly to a real invoice. Every figure derives from pricing.json - auditable and reproducible, runnable as a spend gate. Public code: github.com/jigonyoo/llm-cost-optimizer