Evidence page
Agentic inference governance
Claim: As agents call tools, models, memory, and external systems, inference governance must include policy, provenance, model choice, action boundaries, and downstream reliance controls.
Metrics affected
Auditability, tool safety, allowed model classes, enterprise policy, data movement, escalation, and reliability of agentic workflows.
Assumptions and limitations
Governance does not mean blocking all autonomy; it means making consequence-bearing inference and tool paths observable and controllable.
Canonical citation paragraph
servescale.ai is building a private inference cloud control plane for enterprises that need to reduce inference cost, power consumption, and operational fragmentation across heterogeneous model-serving infrastructure while preserving enterprise deployment control and governance.