“Someone will review it” sounds reassuring until the reviewer opens the screen.
What are they supposed to check? Can they see the original information? Do they know what changed? Is rejecting the suggestion as easy as accepting it? Human review is a workflow to design, not a sentence to add at the end of a proposal.
Give the reviewer a specific responsibility
A person checking the tone of a draft is doing a different job from a person authorizing a refund. The interface should make that distinction explicit. Otherwise, an approval button can accidentally suggest that every part of the output has been verified.
For a proposed customer response, show the source request and relevant policy beside the draft. Flag claims that depend on missing information. If the system proposes changing a record, show the current value, proposed value, and affected record before asking for approval.
The reviewer should not have to reconstruct the entire process from a polished final answer.
Design the negative outcomes
Approval is only one possible result. The reviewer may need to edit, reject, request clarification, or escalate. Each should have a meaningful next step. A rejection that simply drops the work into an unowned queue is not a complete design.
Also consider review volume. If the system produces more suggestions than the team can inspect, an approval requirement can become a bottleneck or encourage superficial checks. Narrowing the scope may be more useful than adding another reviewer.
Preserve the decision
Record what was approved and what happened afterward. Approval of one draft should not silently authorize a later version with different facts. If important information changes, the workflow should make that visible and apply the appropriate approval rule again.
This does not require an elaborate compliance platform for every small application. It requires a clear relationship between evidence, decision, and action.
A good review interface respects the person's attention and authority. It helps them notice the important difference, understand the consequence, and stop the process when necessary. Without that design, “human in the loop” risks becoming a description of who will be blamed when something goes wrong.