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Command

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The control tower for AI at work

Orchestration, approvals, guardrails and ROI reporting for every AI agent you run — so a working pilot doesn't spend six months waiting for someone to approve it.

The problem

The moment you have more than one agent doing real work, the questions change: who approved this, what is it allowed to touch, what did it cost, and what happened at 3am on Tuesday. Most teams answer those in a spreadsheet, then stall in review.

Who it’s for

Leaders who already have AI doing real work and now need governance, a cost line, and an answer for legal, risk and IT.

How it works

  1. 01

    Deploy an agent through a five-step wizard: role pack → systems → training → guardrails → review.

  2. 02

    It runs in a sandbox first, under a server-enforced model allow-list.

  3. 03

    Work that needs a human passes through an approvals queue; work that needs oversight gets a veto window.

  4. 04

    Every handoff is an append-only event, so the run history is a record rather than a log.

What it does

Fleet dashboard

KPI strip, agent table filterable by status, live activity feed and seven-day volume across every agent you run.

Approvals and guardrails

A pending queue with approve or reject-with-comment, guardrail policies you create and toggle, and a full decision history.

Multi-agent workflows

Chain agents into one business process with human-in-the-loop gates and human-on-the-loop veto windows. Hub and spoke — every handoff routes through Command, agents never call each other.

ROI reporting

Monthly per-agent economics, six-month trend, cumulative FTE equivalence, and a client-branded PDF export.

Hard tenant isolation

Five roles, scoped at the query layer rather than the UI. An append-only audit log where UPDATE and DELETE are blocked by a database trigger.

Model key vault

Bring your own keys, metered month-to-date by token, with per-client model allow-lists enforced server-side.

Built, not mocked up

  • Event-sourced runs — status and UI are projections over an append-only event stream
  • HMAC-signed inbound triggers with idempotency on the source record id
  • Agents connect over MCP with per-agent keys; every call is attributed and audited
  • Unit and integration suites run against a dedicated test database

Where it sits in the method

Command is step T made operational. The sign-off map stops being a document and becomes the thing that actually gates the work.

Read the OUTCOME Method

Next step

See Command against your own workflow.

We will run it on a real example from your business rather than a canned demo, and be straightforward about where it does not fit.