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AI Architecture › L4 · Orchestration
L4 · Orchestration

Approval Policy & Quorum

High-authority actions require multiple qualified approvers; policy defines who counts, how many, and what happens on timeout.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L4 · ORCHESTRATIONEvents, workflows, rules, and human routing.1Event Streamingthe backbone2Workflow Enginecampaign procedures3Rules & Safety Boundshard limits4Human-in-the-Loopapproval routing5Schedulerexperiment campaigns6Audit Busfull decision lineageMACHINE TIECoordinates L3 outputs with L5 copilots and human operators.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORORCHESTRATIONSHEET 06REV. 2026-08L4 · AI-NATIVE STACK
L4 · Orchestration — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Not all approvals are equal

A routine, low-authority action may need one qualified approver; a first-of-its-kind breeder operating point or a change to the burner plug-field target may require a quorum of independent, qualified people. Approval policy formalizes the authority levels, the required quorum at each level, and the qualification each approver must hold. It is version-controlled safety policy, like the rules engine.

Authority levels and quorum

LevelExample actionQuorum
L0in-envelope routine setpointauto, none
L1new setpoint within a proven point1 qualified
L2new operating point in a campaign2 independent
L3new machine limit / plug-field target2 + safety officer

Independence and qualification

Timeout defaults are safe

python
def resolve(req):
    if approvals(req) >= quorum(req.level) and all_independent(req):
        return APPROVE
    if now() > req.deadline:
        return SAFE_DEFAULT[req.action_class]   # energize->REJECT, abort->PROCEED
    return PENDING

Auditable and replayable

Every approval request records who was asked, who decided, the context shown (via routing), and the outcome, chained on the lineage bus. Policy changes follow the same two-person, audited process as rule changes. Because the breeder and burner are design-and-simulation studies, quorum policy is exercised in drills against the twin so the human process is practiced before FOAK.

Escalation and de-escalation

Authority level is a property of the action, not of the operator, so it cannot be lowered by choosing a more senior approver. What can change it is context: a setpoint that is L1 inside a proven breeder operating point becomes L2 when the campaign steps to an unproven point, and a burner plug-field change escalates to L3 whenever it would move the established 26.49 T target. The policy computes the level from the action and current machine state; approvers cannot self-elevate to satisfy their own quorum. Repeated low-authority approvals never aggregate into permission for a high-authority action, which closes a common privilege-creep path on shared consoles.

Content reviewed August 2026 · design-and-simulation stage