Concept
AI Spending
Treat each spending call as an action that must ask permission, with the budget as the policy. Cumulative spend, the cost of the specific call, and the budget delegated to that actor are all signals available at the moment of the call — which is the only moment at which refusing it is cheap.
How do I control what an AI agent spends?
Treat each spending call as an action that must ask permission, with the budget as the policy. Cumulative spend, the cost of the specific call, and the budget delegated to that actor are all signals available at the moment of the call — which is the only moment at which refusing it is cheap.
2 patterns answer this
Prevent AI overspending
An agent calls a paid API, provisions a resource, or loops on a task that bills per token.
Its gate and signals
Cloud spend increase
An autoscale event, a new cluster, or a provisioning script commits ongoing cloud spend.
Its gate and signals
From this term to a governed action
- Prevent AI overspendingThe recurring action behind this term.
- Browse the policy packsThe bundles the evaluator ships, rule by rule.
- Try to break it in the sandboxA real signed verdict, no account.
- Deploy on your surfaceAvailable on 6 platforms today.
- Verify the proof yourselfCheck the signature without trusting us.
- Start NowMeasure on your traffic before enforcing.
Where this fits
Decionis is the deterministic decision layer between intent and execution. This concept is one way in; the architecture behind it is the same in every case.