What is AI spend management?
AI spend management combines usage visibility, budget enforcement, policy controls, and governance for model traffic.
AI spend management
AI spend management that engineering can enforce
Give product, engineering, and finance a shared control layer for model traffic before bills surprise the team.
The problem
Provider bills move faster than post-hoc dashboards.
AI spend can move faster than budget review when every product surface, worker, and agent shares provider access.
Panicly's role
Put enforcement in the request path.
Panicly centralizes spend controls at the gateway, where every request has to pass policy before routing.
Comparison
What changes when Panicly sits before the provider.
AreaWithout PaniclyWith Panicly
Ownership
Finance sees the bill and engineering owns the code.
Both teams can reason from the same request record.
Coverage
Each service has its own guardrails.
Gateway policies cover shared provider routes.
Response
Budget action waits for an app change.
Operators can hold or block traffic from the workspace.
FAQ
Short answers for searchers and answer engines.
Why manage spend at the gateway?
A gateway sees traffic before provider calls happen, making it the right place to stop, hold, or explain risky usage.