▸ Category · Defined Term
What is an agentic control plane for field operations?
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.
▸ Shape
How the layer is shaped.
Work enters through a structured channel, passes a policy gate that authorizes and confidence-checks it, fans out to the three layers, and returns as measured outcomes — with every decision written to the audit log on the way through.
▸ Layers
The three layers.
The work layer
Dispatch Engine
An agent reads an unstructured work order, classifies trade and urgency, drafts a not-to-exceed quote, and routes it to the best-matched contractor. The same logic runs at 2 a.m. as at 2 p.m., so volume scales without adding coordinators.
dispatch.quote · dispatch.order · dispatch.evals
The people layer
Talent Fabric
Intake, scoring, and routing for senior talent — the humans who supervise exceptions and execute the physical work the agents dispatch. The control plane decides; this is part of the workforce that acts.
apply.submit · apply.score · apply.route
The accountability layer
Trust Rail
A free vulnerability scan opens into a continuous security posture. This is the layer that keeps the control plane defensible: every decision bounded by policy and written to an append-only audit log.
scan.initiate · scan.report · posture.evals
▸ Versus
How it differs from FSM / dispatch software.
Field service management software is a system of record a person operates. An agentic control plane is a decision layer agents operate, with humans on the exceptions. The difference shows up on four axes.
▸ Pipeline
What runs on every decision.
- 1
Intake
Structured ingress via API, MCP, web form, or webhook.
- 2
Policy
Claims-based authorization + validation + rate limits.
- 3
Route
Agent selection with a confidence gate; low confidence escalates to a human.
- 4
Evals
Goal fulfillment, latency, override rate — rolling 30-day window, published.
- 5
Audit
Append-only log. Every decision traceable after the fact.
▸ FAQ
Common questions.
- 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.
- How is an agentic control plane different from field service management (FSM) software?
- FSM software is an app a dispatcher logs into: a human does the reading, quoting, and routing, and the software stores the record, usually priced per technician seat. An agentic control plane is the layer that makes those decisions. Agents handle intake, quoting, and routing under an enforced policy gate; humans supervise the exceptions the gate escalates. It is reached through machine-discoverable tooling — MCP tools and an OpenAPI spec — rather than only through a closed dashboard, and every decision is published in rolling evals and written to an append-only audit log.
- What are the three layers of the STEADYWRK control plane?
- Dispatch Engine, the work layer — agentic work-order intake, routing, quoting, and contractor dispatch. Talent Fabric, the people layer — AI-routed placement of the senior talent who supervise and execute. Trust Rail, the accountability layer — a free vulnerability scan that opens into a continuous security posture, keeping every decision policy-bounded and auditable.
- Does an agentic control plane remove the human?
- No. A confidence gate governs autonomy: high-confidence, low-risk decisions can run automatically, while anything below the threshold is escalated to a human reviewer. The human shifts from typing every assignment to supervising exceptions, and every automated decision is written to an append-only audit log so the chain stays accountable as it scales.
- How do you evaluate an agentic control plane?
- Evaluate it the way you would a new hire: by published, observable metrics rather than a single number from a slide. The useful signals are goal fulfillment, quote turnaround, cost variance, dispatch latency, and human override rate, reported on a rolling window. A trustworthy control plane publishes these continuously and leaves an auditable record of every decision. STEADYWRK publishes a live evals dashboard at /evals.
▸ Go deeper
The control plane page maps the modules; the system card documents the architecture and operational posture; the evals dashboard reports how it actually performs.