Systems & infrastructure
Intelligence needs
infrastructure.
The systems layer that lets agents run in production: runtime, isolation, permissions, audit and cost control.
Model output is a proposal.
Authority comes from the system around it.
No permission inherited from a prompt.
Every action has limits.
Every boundary has an owner.
What production actually requires.
Five control surfaces. For each, an engineering responsibility and an explicit dependency on the customer environment.
| Control surface | Our engineering responsibility | Customer environment dependency |
|---|---|---|
| CTRL / 01Isolation & execution ↗ | Bound tool execution, restrict egress and define resource limits. | Approve workload placement, infrastructure boundaries and network policy. |
| CTRL / 02Identity & permissions ↗ | Check principal, action and resource scope before dispatch. | Own identity lifecycle, source permissions and access approvals. |
| CTRL / 03Audit & observability ↗ | Correlate policy decisions, execution outcomes and redacted events. | Provide approved sinks, access controls and retention requirements. |
| CTRL / 04Cost & quotas ↗ | Attribute usage to workloads; enforce configured execution budgets. | Set spending authority, provider limits and acceptable budget policy. |
| CTRL / 05Failure & recovery ↗ | Stop unsafe work, preserve evidence and define recovery paths. | Own business continuity, escalation authority and downstream recovery. |
The engagement scope defines what we implement. Testing, release acceptance and changes to these boundaries are shared decisions.
The engineering position
The bottleneck is not the model.
It is the system around it.
A capable model does not decide who may act, where data may go, or how an incomplete action should recover. Those are system responsibilities.
Production readiness means making those decisions explicit, testable and owned—before expanding what an agent can do.
Our engineering position