What an AI approval workflow is
An AI approval workflow is a delivery process where AI systems draft, assemble, and prepare work, but nothing reaches a client, an inbox, or a public channel until a named human approves it. The AI proposes; a person disposes.
It is not a review meeting bolted on after the fact. The approval step is part of the pipeline: the run pauses, the reviewer sees the exact artifact that would ship, and the decision — approve, edit, or reject — is recorded.
Why agencies need human gates before external sends
AI drafts are fluent and wrong in fluent ways: invented statistics, misattributed quotes, off-brand claims. When the sender is an agency, the client owns the consequences and the agency owns the relationship.
A hard gate before external sends converts “we will catch it in review” into a structural guarantee. Clients increasingly ask for it — AI disclosure and human-oversight clauses now show up in agency MSAs.
How OperatorHQ implements it
Approval gates sit inside every run. An operator reviews the exact deliverable — text, attachments, and claim-level fact-check verdicts — before anything leaves the workspace. External sends hard-pause until approval.
Every decision lands in an audit trail: who approved, which version, when, and which checks ran. Claim review via the Reality Checker flags unsupported statements before the human even opens the draft.
How it works
1 · Draft
AI assembles the deliverable inside a run, with every claim checked against its sources.
2 · Gate
The run hard-pauses. A named operator reviews the exact artifact and the flagged claims.
3 · Ship or send back
Approved work goes out with AI disclosure attached; rejected work returns with notes, and both paths are logged.
AI approval workflow FAQ
Does an approval workflow slow down delivery?
It removes the rework loop instead. Reviewers see flagged claims and the final artifact in one place, so approvals take minutes — far less than one round of client corrections on an AI error.
Can we approve from email, or do we need the dashboard?
Approvals happen in the OperatorHQ dashboard so the decision, the exact version, and the reviewer identity are captured in the audit trail.
What happens if nobody approves a run?
Nothing ships. External sends hard-pause by default — there is no timeout that auto-sends unapproved work.
Does this satisfy client AI-disclosure requirements?
Approved exports carry an AI disclosure, and the audit trail shows human review occurred. Together they cover the human-oversight and transparency clauses most agencies are being asked to sign.
The real risk
Put an approval gate on every AI output.
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