▸ Category
The agentic control plane for critical field operations.
Policy-enforced intake. Evals-measured routing. MCP-exposed decision surface. Three modules routing real work, returning ground-truth outcomes — headquartered in Aqaba, operating across Multi-State.
What is an Agentic Control Plane?
An agentic control plane is the policy-governed layer where AI agents take in real-world operational work, route and act on it under enforced authorization, and return measured, audited outcomes; STEADYWRK runs one for critical field operations across dispatch, talent, and security.
The control plane is the layer that decides — not the workforce that executes. Agents handle intake, authorization, routing, and escalation; humans stay in the loop where confidence is low. Every decision is bounded by policy and written to an append-only audit log, so the system stays accountable as it scales.
▸ Modules
Three modules. One control plane.
Dispatch Engine
Agentic work-order intake, routing, quoting, contractor dispatch.
dispatch.quote · dispatch.order · dispatch.evals
Talent Fabric
AI-routed senior talent placement — engineering and field.
apply.submit · apply.score · apply.route
Trust Rail
Free vuln scan wedge → continuous agentic security posture.
scan.initiate · scan.report · posture.evals
▸ Pipeline
Control-plane mechanics.
- 1
Intake
Structured ingress via API, MCP, web form, or webhook.
- 2
Policy
Claims-based authorization + Zod validation + rate limits.
- 3
Route
Agent selection, confidence gate (<70% → human escalation).
- 4
Evals
Goal fulfillment, latency, override rate — 30d rolling window.
- 5
Audit
7-year append-only log. Every decision traceable.
▸ Interop
Agent-stack compatibility.
The three dispatch tools are first-class citizens in any MCP-compatible agent stack. Compatibility means the tool-call surface works — not a partnership, integration commitment, or revenue claim.