01 / 06AUTHORITY
Separate a recommendation from permission to act.
Define which information the system can access, which tools it can call, which actions it can complete, and which decisions remain with a named business role.
All intelligence briefingsBRIEFING 02 · AI GOVERNANCE
Human control is architecture.Not an approval button.
A useful control model says what the system may do, when a person must decide, what evidence they receive, and how the operation recovers.
Written by Smart Scale with AIEdited by Smart Scale with AIPublished Reviewed How we research and review
ONE BRIEFING · 6 DECISION LAYERS02 / 06ESCALATION
Route consequence and uncertainty differently.
A high-impact action may always require approval. A routine action may require review only when evidence is weak, policy conflicts, identity fails, the user asks, or an integration behaves unexpectedly.
03 / 06INTERVENTION
Give the person enough context to decide well.
A review queue should show the source, relevant history, rule or model result, confidence, actions already taken, pending consequence, and available correction or stop control.
04 / 06FEEDBACK
Treat overrides as operational evidence.
Record what the person changed and why. Repeated corrections can reveal a poor rule, a knowledge gap, an unsuitable model, missing context, or a workflow that should remain human.
05 / 06RECOVERY
Design what happens after a wrong or failed action.
Operators need a defined way to stop work, reverse or compensate where possible, notify affected people, correct the record, preserve evidence, restore service, and prevent the same failure from recurring.
06 / 06OPERATIONS
Human control needs staffing, ownership, and service expectations.
A review queue without a responsible team, response expectation, escalation path, training, measurement, and improvement cadence is not a control. It is merely another place for work to wait.
PRACTICAL DECISION GUIDEBuild the human-control architecture.
Build the human-control architecture.
A person should receive a decision—not a pile of unexplained work.
A human loop is not a generic approval step. It is a service design for the moments when consequence, uncertainty, or a person’s request makes automated action unsuitable. The control model should identify the trigger, the accountable reviewer, the evidence they receive, the action they can take, the time available, and the recovery route if the case has already gone wrong.
Give every action a consequence tier.
Map actions from low-impact and reversible to those involving money, access, sensitive records, safety, employment, legal rights, customer commitments, or public communication. The map should say whether a case can proceed, must be approved, or must never be automated. Add the escalation triggers: conflicting evidence, failed identity, policy conflict, weak confidence, unavailable systems, a direct request for help, or an action outside the approved limit.
Make the next decision possible in one view.
A reviewer needs the request, relevant identity and history where appropriate, approved source material, the system’s proposed action, uncertainty or policy signal, work already completed, pending consequence, response expectation, and clear controls to approve, correct, reject, transfer, pause, or stop. If the reviewer must reconstruct the case across five tools, the design has only moved work downstream.
Staff the promise made by the escalation rule.
Estimate ordinary and peak review volume, urgency, skills, permissions, language, operating hours, and fallback. Name the role that owns the queue, the expected response, and what the customer or employee is told while waiting. Monitor ageing, reassignment, and abandoned cases. A control is not credible if the right person cannot access or act on the case in time.
Use intervention to improve the whole system.
Record the final decision, the reason for intervention, the correction made, and any downstream recovery. Patterns can expose missing knowledge, an unsuitable threshold, a weak interface, a bad rule, a model limitation, or a decision that should remain human. Define record correction, notification, rollback or compensating action, incident review, access change, and release re-evaluation before a high-consequence failure occurs.
HUMAN-CONTROL ARCHITECTURE
- A control map for approved, approval-only, and prohibited actions
- A reviewer packet with evidence, pending consequence, and usable controls
- Named queue ownership, response expectations, access, and a degraded route
- Override, correction, recovery, incident, and release-review records
WHAT THIS MEANS FOR LEADERS
Design human authority at the same time as model behaviour, data access, system actions, and the user experience.
List consequential actions
Identify which actions can affect money, access, safety, legal rights, customer commitments, employment, or important records.
Define the escalation packet
Specify the evidence, history, recommendation, pending consequence, and controls a person needs to decide quickly.
Measure the human loop
Track review volume, waiting time, approvals, overrides, reasons, repeated corrections, incidents, and final outcomes.