How do AI spend budgets and alerts work in Olakai?
Olakai organizes AI spend budgets across four overlapping lenses: Program ceilings, Provider caps, Employee-centric lenses, and Projects. Budgets track per-token providers and are evaluated once daily after cost imports to trigger both configurable threshold alerts (at 50%, 80%, and 100% of budget) and run-rate forecast alerts before month-end overruns occur.
Supported Token Providers and Daily Evaluation
The budget system specifically monitors usage-metered, per-token providers including Anthropic, Cursor, and OpenAI. Flat, seat-based subscriptions such as GitHub Copilot are excluded from per-token budget tracking. Any spend that cannot be mapped to a specific person rolls up to the program and provider totals while dropping out of individual employee and team lenses.
Source: Inside AI Spend Governance: Budgets and the Alerts That Fire Before You Blow Through Them
Threshold and Trajectory Run-Rate Alerts
Olakai evaluates budgets once daily after importing fresh provider spend and generates two classes of alerts automatically. Threshold alerts notify teams when month-to-date spending hits 50%, 80%, or 100% of a configured limit. Forecast alerts use recent daily run rates and confidence levels to flag trajectories projected to exceed budget caps by the end of the month before the overrun happens.
Source: Inside AI Spend Governance: Budgets and the Alerts That Fire Before You Blow Through Them
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