AI spend governance

AI spend governance defines how an organization approves, controls, and reviews spending on AI. It sets out who can approve spending, what work the money is for, and how the organization reviews exceptions and results.

FinOps for AI brings financial and operational teams together to manage AI costs and the value that spending delivers.

A monthly budget states what the team plans to spend. Usage limits help enforce that plan, and a review of the results helps the owner decide whether to keep funding the work.

Explore Dome: Model Broker · Docs: Quota scopes and behavior.

Give the budget an owner and a purpose

Suppose a support team receives a monthly allowance to test an agent that drafts ticket responses. The allowance needs more than a dollar amount. Specify which work it covers, who owns the budget, when to review it, and what counts as a useful result.

An operator may be able to raise a usage limit without being authorized to approve the extra spending. Name who can approve it, even if one person fills both roles.

The FinOps allocation framework connects cost visibility to accountable ownership. Cost allocation explains how to assign costs to the right owner.

Explore Dome: Agent Registry · Docs: Manage agents.

Decide what happens when a limit is reached

When the support experiment reaches its limit, the system might stop new drafts, allow only higher-priority work, or require approval to continue. Decide this in advance so the team can distinguish an expected limit from an outage.

For each exception, record the extra work, the additional allowance, who approved it, and when it expires or needs another review. A permanent increase to solve a temporary problem can silently change the spending policy.

Also inspect all relevant cost sources. Model usage may be only part of the workload's cost. Tool fees, retrieval, storage, retries, and human review can matter. A cap on one measured route is not a cap on the entire business process.

Dome's quotas document supported subjects, units, windows, and exhaustion behavior. Use those controls where they apply, and keep track of spending they do not measure.

Explore Dome: Model Broker · Docs: Quota scopes and behavior.

Review what the spending achieved

For the support agent, compare spending with responses the team accepts, the rework they need, and service quality. Staying under budget is less useful if most drafts are discarded; higher spending may be justified if it produces more usable responses.

Keep the definition of a successful outcome consistent. If the team begins counting “draft generated” instead of “draft accepted,” record the change so the results can be compared accurately.

The FinOps unit-economics guidance connects costs with technical and business units. AI unit economics provides a worked calculation.

Record the budget owner, purpose, measured usage, behavior when the limit is reached, exception authority, and review schedule. See rate limits, quotas, and budgets for how the technical limits work.

Explore Dome: Audit · Docs: Audit events.