Human Judgment and the One Gate
Human-in-the-loop approval puts a person at the decision boundary. Figaro keeps one gate while allowing explicit, bounded delegation to policy or a watchdog.
Published August 10, 2026
Human-in-the-loop approval means a person resolves an action before it executes. It is appropriate where consequences, uncertainty, or required authority call for human judgment. It is one way to resolve Figaro’s gate.
One boundary for consequential action
Figaro’s authority model keeps exactly one resolution boundary. A human, deterministic policy, or watchdog can be the decider only within an explicit grant. Proposing an action and holding permission to resolve it are separate powers. Neither job title nor access to an AI tool creates authority.
Give the decider a complete decision
A useful proposal contains the exact change, accountable owner, reasoning, dated evidence, alternatives, consequences, and expected outcome. It states how and when the result will be measured. Missing evidence is a gap to resolve, not a zero to fill in.
Move human attention toward the decisions that need it
Humans can grant routine action classes bounded authority and review samples of the resulting record. Novel, irreversible, or high-exposure work may stay human-resolved. Urgency never creates permission. The record must show who resolved the gate and under which authority.
Money movement is denied by default. A client may grant bounded exceptions only inside the applicable law, provider, and platform limits. There is no general permission to spend.
The gate stays as autonomy grows
Delegation happens at the gate. It does not create a second route around it. An agent’s good results cannot widen its own limits. Read the autonomy progression for how evidence and grants fit together.
Current availability
The existing native operator system uses human approval for consequential writes. Policy and watchdog resolution are part of the Powered by Figaro rollout, with coverage verified per installation. The product map distinguishes those layers.
Questions founders ask
- Can a connected AI approve its own proposal?
- Ordinary agent and integration credentials can only propose. A policy or watchdog may resolve the gate only with explicit active authority and recorded provenance. An agent cannot grant itself that authority.
- Is human approval required on every routine action forever?
- No. The authority model allows routine action classes to run inside human-granted limits, with the one gate and the decision record intact. Actual availability must be verified per installation.