Human Approval Boundaries
Our automation architecture preserves explicit human approval boundaries for actions whose consequence, uncertainty, permissions, or business judgment make fully autonomous execution inappropriate.
Approval is not processing
Human approval is not intended to move the entire workload back to the human. The system should prepare the decision before it reaches the approval boundary.
Decision package
A review can include facts, evidence, calculations, a recommendation, stated uncertainty, and the proposed action. The goal is to present a decision-ready state rather than an alert that forces the reviewer to reconstruct the analysis manually.
- Detect / investigate
- Assemble evidence
- Calculate / validate
- Recommend action
- State uncertainty
- Human approval boundary
- Execute or reject
Where approval belongs
Approval requirements depend on consequence. A reversible internal update may not need the same boundary as a financial transfer, customer-facing commitment, access change, or other consequential action.
The architecture can therefore combine permission checks, confidence thresholds, exception routing, and human approval rather than treating approval as one global setting.
Preserve the work
A common automation failure is escalating too early. If the system detects a possible problem and immediately sends it to a person with no investigation, the human remains the investigative engine.
We prefer the system to complete the work it can safely perform first: collect records, reconcile facts, identify contradictions, calculate relevant values, and prepare the permitted next action. The human then applies judgment at the point where human authority is actually required.
Auditability
Approval state should be explicit enough to distinguish:
- Proposed
- Awaiting review
- Approved
- Rejected
- Expired
- Superseded
That prevents downstream workflows from interpreting an unreviewed recommendation as authorization.
Human-in-the-loop should mean human judgment at the correct boundary, not human repetition of work the system was capable of doing first.
Approval is a state transition
A human review should have a defined object and a defined consequence. The reviewer is not approving “the AI.” The reviewer is approving or rejecting a specific proposed action against a specific evidence state.
That makes approval compatible with later audit and recovery. The system can preserve which facts were presented, which recommendation was proposed, who approved it, and whether the underlying state changed before execution occurred.
For time-sensitive workflows, approval can also expire. A decision prepared against yesterday’s customer state should not necessarily remain executable after the source systems have changed. Human approval therefore functions as a controlled state transition inside the workflow rather than as an informal message sent to a manager.