FinOps for AI: what finance teams need to know

Bridging the gap between tokens and budgets

Cloud FinOps matured over a decade. AI FinOps is still day one. Token-based pricing, unpredictable usage spikes, and shared API keys make traditional chargeback models difficult.

Finance needs unit economics: cost per request, per customer, per feature. Engineering needs guardrails, not blockers. The platform layer between them must serve both audiences.

Budget thresholds, anomaly alerts, and executive dashboards aren't nice-to-haves — they're how AI spend becomes a managed line item instead of a surprise.