Wants to budget and monitor AI cost instead of being surprised by a bill after the fact.
Cost · User limits
Set a limit on AI usage per user or group. That keeps AI cost predictable and stops one user (or one runaway agent) from burning the budget.
Wants to budget and monitor AI cost instead of being surprised by a bill after the fact.
Want to set and adjust limits per user or group, without having to email a vendor.
Wants agents and integrations bound to a limit too, so misuse is capped.
The problem
Without limits, every user (and every agent bound to a user) is an uncapped line of spend. One heavy user, a misconfigured integration or an agent in a loop, and the monthly bill runs away before anyone notices.
Numaga sets limits on the control plane. Every user and group gets a ceiling; reach it and the platform steps in: no surprises after the fact.
How it works
Set, inherit, watch, intervene.
Set ceilings on usage (per user, per team or per role) from one admin screen.
A connected coding agent or application falls under the user’s limit or the integration’s budget. No uncapped side door.
Usage runs through the control plane’s meter step; you see current usage against the limit.
On reaching a limit the platform warns or blocks; you choose what happens.
In practice
Numaga is running a pilot with Ontdek Zorg, a home-care organisation in Gelderland. Healthcare, with special-category personal data under the GDPR, is where responsible AI is hardest. That is exactly where we put the control plane to the test.
We show how to set and monitor limits per user and group.
Request demo access