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AI agents for following up on document review comments

The author has uploaded a revised guide and marked the task complete, but the project manager still needs the client to review that version. An AI agent can find the original comment, connect it to the revised file, and draft a specific review request. The project manager can then see whether the next step belongs to the author or the person reviewing the changes.

Author

Syntalith

Published Updated 4 min read

Preparing documentation for handover can mean returning to conversations from weeks earlier. Comments are in email, the author replies in a task, and the file goes into a project folder. A reminder to “finish the documentation” still leaves the project manager to work out exactly what needs an answer.

The revised guide is waiting for a reviewer

Suppose a client reviewing an operating guide asks for a section on returns. The author puts a revised file in the folder and comments on the task that the section has been added. They mark the task complete because they have uploaded the document. The person designated to review the guide on the client’s side has not yet replied.

The project manager needs to connect the client’s request with the author’s revision and the person who should review it. An agent can gather the original comment, the author’s reply, and a link to the revised guide. The project manager can immediately see that the next request should concern the returns section.

A draft based on this example could read:

In response to your comment about the missing returns information, the author has uploaded a revised guide and reported adding that section. Please review this version and let us know whether it addresses your comment or needs further changes.

The project manager checks the draft and attaches or links to the correct file. The recipient gets a specific piece of work to review and a reason to return to the guide. They do not have to find the original comment in a long email thread.

The author’s reply explains what the team has done. The reviewer’s response will establish whether the addition addresses the request. Completing the upload task does not supply that response.

Keep the response with the version it concerns

When the client replies, the project manager should find that assessment beside the relevant comment and guide. If further changes are requested, the author needs the specific feedback to continue. An agent can update the overview and draft a handoff to the author. After another revision, the project manager returns to the reviewer with the new version.

The connection between a reply and a file is easy to lose. “Looks good” might refer to an earlier version or another part of the documentation. The project manager should be able to open the conversation and check what was reviewed. When that is unclear, an agent can flag the ambiguity and draft a clarification question.

This also helps a colleague take over the project. They can see which comment still needs action and who has been asked to respond, without checking with every participant again. The designated reviewer decides whether to accept the document; the project manager follows up to obtain that decision.

When an approval task is enough

If the comments, revised file, and client response all live in one tool, start with its approval workflow. Asana documents approval tasks with options to approve, request changes, or reject; incomplete tasks remain pending. It also describes creating subtasks from comments on images and PDFs. Those features may be enough to manage the review. See Asana’s approval documentation.

Assigning an approval to a reviewer does not, by itself, make that person the only one who can complete it in Asana. By default, other users with appropriate access can do so too.

An agent becomes more useful when the project manager has to reconstruct connections across email, tasks, and folders. It can help prepare a request that refers to the actual comment rather than a generic reminder about every document. If reviews stall because nobody has named the reviewer, establish that responsibility first. Finding files alone will not determine who should assess them.

After review and signature, the next job may be getting the acceptance certificate to billing. Our article on acceptance-certificate workflows explains how the right document reaches the person who needs it.

Starting with one set of documents

Syntalith builds AI agents connected to company tools. An initial project could cover one type of documentation. The agent would bring together outstanding comments, author replies, and the relevant file versions, then prepare specific review requests for the project manager.

Your team contributes its knowledge of the documents and identifies the reviewers. Using a completed case, a project manager can assess whether the prepared material would have let them go straight to the right person. Then examine how the agent presents a new comment on a revised version: the author needs to see the further work, while the project manager needs to know whose response is pending.

A first conversation can start with a file that had already been corrected while the project was still waiting for the client’s review. Describe where the comment appeared and how you found the person who needed to check the revision. See Syntalith’s pricing page for service pricing information.

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