What is an AI Control Plane?

An AI control plane is the infrastructure and management layer that governs how AI agents are deployed, networked, orchestrated, and secured across an enterprise environment.

As AI systems move from prototypes to production, teams need more than a framework for writing agents. They need a platform that controls where agents run, how they communicate, what they can access, and whether the system meets enterprise compliance requirements.

Two layers — and why both matter

Governance and observability — tracking agent activity, logging decisions, measuring cost. Valuable. But it assumes agents are already running somewhere secure.

Execution infrastructure — the environments where agents actually run, with network isolation, secure compute, and compliance built in at the foundation. This is where control actually starts.

A governance layer on top of unsecured infrastructure doesn't make your AI system enterprise-ready. It observes a problem it cannot fix.

What enterprise-ready actually means

• SOC 2 Type II — audited controls, not just policies on paper
• Network isolation — agents can't reach infrastructure they shouldn't
• Secure execution environments — sandboxed, reproducible, tamper-resistant compute
• Multi-agent orchestration — coordination at the platform level, not bolted on per-deployment
• Audit logging — every action traceable for compliance and incident response

How Crafting approaches it

Crafting is an enterprise AI control plane built from the infrastructure up — secure, networked execution environments where agents execute, with orchestration, network isolation, and SOC 2 Type II compliance as platform primitives, not add-ons.