Useful preparation makes the decision easier to inspect.
A review can involve gathering documents, finding relevant passages, comparing statements and drafting a response. These are useful places for an AI colleague to help.
The next step is different. Someone needs to decide whether a source is sufficient, whether a proposed match fits or whether a claim is ready to go out. A fluent draft does not replace those responsibilities.
Make uncertainty part of the handoff.
Imagine a policy requiring annual access reviews, with no current review in the available evidence. A draft should preserve that distinction. It can describe what the policy requires while flagging that the current evidence needs confirmation.
The reviewer can then ask a precise question. Is the evidence elsewhere? Is the wording too broad? Who owns the activity? An honest uncertainty is more useful than a confident claim that the sources do not support.
Give the reviewer something to work with.
A good handoff includes the prepared finding or draft, the source links, the unresolved questions and the responsibility for the decision. It should be clear which parts are AI preparation and which parts a person has confirmed.
The human step should also be concrete. “Request clarification,” “revise the draft” or “confirm this proposed match” says more than an undifferentiated approval button. The decision needs to match the scope of the work reviewed.
Keep the basis after the moment has passed.
Once the work moves forward, the reasoning can matter to another team or a later review. Keeping the sources, owner and decision together helps that person understand the decision without reconstructing the whole conversation.
This is the balance Proofbacked is building around: AI prepares the work; people retain judgment. Evidence in. Prepared work out. Your decision.