Why overruns happen in the first place
- AI usage can spike within hours due to a misconfigured job, an unexpected traffic surge, or an experimental integration left running.
- Without real-time enforcement, that spike isn't visible until the monthly invoice well after the cost is already incurred.
Preventing it before it happens
- Budgets are enforced at the point of request, not reconciled afterward a request that would exceed budget is blocked before it's billed.
- Alerts at earlier thresholds (like 80%) give teams a chance to intervene before the hard cap is even reached.
Why this matters at enterprise scale
A single team's cost overrun might be a rounding error at a small company at enterprise scale, with dozens of teams and multiple AI providers running simultaneously, uncontrolled spikes compound fast. Prevention has to happen at the request level, not the invoice level, because by the time an invoice shows the problem, it's already too late to stop it.
Where this fits
Frequently asked questions
Can a cost overrun be stopped before it's billed?
Yes. Requests that would exceed a budget can be blocked before they're processed, not just flagged afterward.
Does this require predicting usage in advance?
No. Enforcement reacts to actual usage against the budget in real time, rather than relying on a forecast.
Does this work across multiple teams and providers at once?
Yes. Budgets and enforcement apply per team or project, across whichever AI providers are in use, from the same console.