How does Olakai help CFOs track token costs and forecast AI spend before the invoice arrives?

Olakai tracks token spend by provider, team and developer, normalized across Anthropic, Cursor, OpenAI and Copilot, then projects month-end spend from a 7-day trailing average. When the trajectory crosses a threshold you configure, the alert fires before the limit is hit rather than after. Month-to-date spend is a rearview mirror; run-rate forecasting is the forward-looking signal almost no finance team has today.

Budget forecasting for finance

Olakai tracks token spend by provider, team and developer, and projects month-end spend from a 7-day trailing average. When the trajectory crosses your configured threshold, you get an alert before the limit is hit. Not after. Teams that burned their annual AI coding budget in four months were watching monthly actuals; run-rate forecasting watches the trajectory daily. What finance gets:

Token spend by provider, team and developer, normalized across Anthropic, Cursor, OpenAI and Copilot
Run-rate month-end forecast with confidence level and trajectory trend
Threshold alerts at 50%, 80% and 100% of budget

Source: Olakai for CFOs

Month-to-date is the fire report. Run-rate is the smoke alarm.

Month-to-date spend is a rearview mirror. By the time April's actuals landed in Uber's financial system, the year was already gone. What every CFO needs, and almost none have, is a forward-looking signal: at the current trajectory, when do we exhaust this budget?

This matters urgently because of the 18.6x nine-month consumption growth rate. Token spend does not grow linearly. It grows exponentially as more engineers adopt AI tools and as those engineers use them more heavily.

Source: Token Cost Metrics for CFOs

The AI P&L

The AI P&L is becoming a real thing inside enterprise finance. Token spend, cost-per-outcome, run-rate forecasting and value leak rate are the line items. The CFOs who define those metrics now, build the instrumentation to track them, and establish the governance to act on them will be in a fundamentally different position than those who wait for the token dashboards to catch up. The gap between tracking spend and understanding value is the gap between a cost center and a competitive advantage.