Review roles
Assign who can review, escalate, approve, or reject within a workflow.
Structure review roles, escalation, thresholds, and named authorization so AI assistance does not silently become unsupervised action.
Human-in-the-loop is more than showing an Approve button after a chat response.
Operationally, it means defined review roles, escalation paths, decision thresholds, recorded approvals or rejections, and a history of overrides.
Assign who can review, escalate, approve, or reject within a workflow.
Move contested or high-impact cases to the appropriate authority.
Apply stronger review when risk, disagreement, or uncertainty increases.
Capture explicit outcomes instead of relying on memory or chat scrollback.
Retain how recommendations changed before final authorization.
Preserve who authorized an action-ready decision package.
Controls do not substitute for reviewer competence, adequate evidence, or organizational policy.
Inappropriate use includes treating model consensus as automatic approval or using AI outputs as final authority in consequential settings without documented human review.
No. SmartSolo supports analysis and structured review while accountable people retain final authority over consequential decisions.
Not by itself. Effective human-in-the-loop practice needs roles, thresholds, escalation, and durable records of what was authorized.
What you are seeing: SmartSolo consensus analysis highlighting agreement and conflict across models. Why it matters: disagreement is surfaced for human review rather than treated as automatic truth.
Review how SmartSolo coordinates multiple AI models, routes human authorization, and preserves the decision record.