AI Agent Spend Control for Platform Teams
Platform teams own the shared infrastructure — and the shared control layer. One spend policy, enforced across every agent, is the platform play.
Why platform teams own this
Agents run across teams; controls must be centralized.
Shared gateways and keys need a shared policy.
What to build
Central rules: ceilings, allowlists, velocity limits.
Per-team scoping on top of shared defaults.
An audit log every team can query.
The platform pattern
Defaults for everything, overrides for special cases, one log.
What you get
| Platform lever | sipi.bot answer |
|---|---|
| Defaults | Inherited rules |
| Overrides | Per-agent policies |
| Audit | Shared decision log |
| Self-host | MIT core, your infra |
FAQ
How do defaults work?
New agents inherit caps and allowlists until their own rules exist.
Can I self-host the control layer?
Yes — the MIT core runs in your infrastructure.
Related
Stop the next $12,400 night.
One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.
See plans — from $99/mo Try a live check