# Cost attribution & AI FinOps

> Cut My AI Spend — rank #8 of 10. Typical savings: Enables every other saving. Effort: Medium — tagging + dashboards.

73–79% of enterprises blew their AI budgets in 2026, and the most common root cause is that spend shows up as one opaque line item (OpenAI, Anthropic, Bedrock) with no mapping to features, teams, or customers. You cannot cut what you cannot see.
Per-request metadata tagging (feature, team, customer, environment), unit-economics dashboards (cost per task, per user, per feature), and budget alerts turn the bill from a surprise into a managed system — and tell you exactly which of the methods on this site to apply where.

## How to do it

1. Tag every LLM call with feature/team/customer metadata via your gateway or logging layer.
2. Build one dashboard: spend by feature, tokens per task, cost per active user.
3. Set budget alerts at the feature level, not just the org level.
4. Review weekly; feed the top spender into the tactics on this site.

## Frequently asked questions

### Do I need a FinOps team for this?

No — 98% of FinOps teams now track AI spend, but for most companies a gateway with metadata tagging plus one dashboard is enough to find the 20% of features driving 80% of the bill.


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Canonical: https://cutmyaispend.com/methods/cost-attribution-finops
All methods: https://cutmyaispend.com/ | JSON: https://cutmyaispend.com/api/methods.json