Stop reporting the gap. Own it.

Four chapters on attribution, unit economics, exposure management, and AI cost governance. One model. Zero dependencies on engineering, finance, or a separate analytics team.

Most FinOps tools show you what's unallocated, what the forecast says, what was saved. What they can't do is let you own the answer. This guide removes the dependencies that prevent it.

• Chapter 1: Beyond Tag-Based Allocation — CMDB signals already on your estate — account structure, VPCs, IAM roles, naming conventions — produce 100% attribution with or without a functioning tagging program.
• Chapter 2: Unit Economics: Cost and Revenue on the Same Model — When both sides live in the same model, contribution margin becomes a query. The CFO asks which products to worry about. You have the answer.
• Chapter 3: Exposure Management: What You're Within, Not What You've Saved — A declared tolerance closes the question every savings target reopens. The CFO gets a yes-or-no. The QBR actually ends.
• Chapter 4: FinOps for AI: The Distribution Model — AI token costs can't be forecast as a single number. This chapter explains why they must be modeled as a range — and how to make that model actionable before the bill arrives.