Multi-party review and approval with quorum and separation of duties enforced.
Reviewers and approvers are assigned; sign-off requires the number of people your SOP demands; and an author can never approve their own draft. AI accelerates the writing; humans make the calls that count — and the workflow makes it hard to skip a step.
Human-in-the-loop means a qualified person decides and signs, every time. In GxP Copilot the AI drafts; a reviewer sees the draft alongside the source material it was built from; authors cannot approve their own work; and nothing becomes a controlled record without a Part 11 signature from someone accountable for it.
Review that is really rubber-stamping
A reviewer handed a fluent document and no easy way to check it against its source will approve it. Not through negligence — because verifying every statement means opening the source separately, finding the relevant passage, and doing that a hundred times. Nobody has that afternoon.
This is the real risk of AI in regulated documentation, and it is a workflow problem rather than a model problem. A better model produces more convincing text, which makes superficial review more likely, not less.
The draft EU Annex 22 expects meaningful human oversight. A signature from someone who could not realistically have checked the content is not that.
Review with the evidence in front of you
The reviewer sees the draft and the source material it draws on together, so checking a statement is a glance rather than an expedition. Where a statement is not supported by the source, it is flagged for attention rather than presented with the same confidence as everything else.
This is the single design decision that determines whether AI-assisted documentation saves time overall. Generation speed is irrelevant if review time expands to absorb it.
Separation that the system enforces
The author of a record cannot approve it. The reviewer and the approver are distinct from the author and from each other across the review cycle, and nobody witnesses their own execution. These are enforced in the system rather than described in an SOP.
Procedural segregation depends on everyone remembering the rule under deadline pressure. Enforced segregation does not.
The decision is always human
Classification, risk and release are determined by rules applied to facts a person confirmed, never generated. Approval is a signature by a named, re-authenticated individual with the meaning of the signature recorded. AI drafts, proposes and retrieves; it does not decide.
That line is drawn deliberately and does not move. It is the condition under which the draft Annex 22 and any reasonable inspector will accept AI in the workflow at all.
What you get
- Drafts reviewed alongside the source material they were built from
- Unsupported statements flagged rather than presented confidently
- Author, reviewer and approver enforced as distinct people by the system
- Part 11 signature with re-authentication and recorded meaning on every approval
- AI never deciding classification, risk or release — those are computed and human-owned
Common questions
What does human-in-the-loop actually mean here?
That a qualified person reviews the draft against its source, decides, and signs under 21 CFR Part 11 with re-authentication. The AI drafts, retrieves and proposes. Classification, risk and release decisions are computed from confirmed facts and owned by a person. The AI does not decide anything consequential.
How do you stop review becoming a rubber stamp?
By putting the source material next to the draft so verifying a statement costs seconds rather than minutes, and by flagging statements the source does not support instead of presenting everything with equal confidence. Review quality is a workflow problem — a more fluent model makes superficial review more likely, not less.
Can the person who generated a document approve it?
No. The author cannot approve their own record, the reviewer and approver are distinct across the cycle, and nobody can witness their own execution. These separations are enforced by the system rather than described in a procedure that depends on everyone remembering under deadline pressure.
What Human-in-the-Loop Reviews delivers
- Reviewer and approver assignment
- Quorum-based sign-off
- Segregation of duties enforced by the workflow
- Rejection reasons captured in the audit
Human-in-the-Loop Reviews is part of the GxP Copilot platform — an AI-native, CSA-first validation system built for regulated Life Sciences. See how it fits with AI Classification Engine, Risk-Based Validation Scoping, AI Risk Assessment.
See it on your own data. In 30 minutes.
Bring a system, a URS, or an AE listing. We'll show you how GxP Copilot and TraceDraft compress the validation and clinical documentation cycle without compromising Part 11 or Annex 22 posture.