AI costs are multi-dimensional -- usage-based, model-based, API call-based, input and output tokens, caching -- and no single vendor provides cross-platform cost visibility. Teams lack the ability to set budgets, thresholds, and alerts to prevent runaway costs. Many teams consume external APIs with no central visibility into aggregate spend. Leadership is demanding AI FinOps as a 2026 priority, but cost attribution to teams, projects, and specific capabilities does not exist.

Naftiko brings cost controls to the execution surface -- policy-driven budgets and attribution mapped to capabilities, not scattered across vendor dashboards. Cost-center labels propagate from the capability spec through Kubernetes resources to Kubecost and FinOps tooling. Billing granularity tags on consumed API operations and per-operation Prometheus metrics make spend observable at the granularity that matters -- by team, domain, capability, and consumer.