AI AGENTS

Reviewer Approval Loop for Drafted Questionnaire Answers

Routes a drafted security questionnaire to the right reviewers in Slack, collects approve/edit decisions per flagged answer.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDrafted questionnaire flagged for reviewHTTP webhook
  • ActionGroup flagged rows and resolve reviewersConfluenceConfluence
  • ActionPost each flagged answer to reviewer in SlackSlack
  • LogicCollect decisions and apply edits to draft
  • ActionWrite finalized spreadsheet to DriveGoogle DriveGoogle Drive
  • OutputPost approval audit trail to deal channelSlack

What it does

Manages the human-in-the-loop step after drafting. It takes the flagged rows from a drafted questionnaire, sends each to the owning reviewer in Slack with approve and edit buttons, applies the responses back into the sheet, and only marks the questionnaire ready to send when all flags are resolved.

When to use it

Use it when answers require sign-off before going to a customer and you need an auditable record of who approved what. It closes the loop between an AI draft and a defensible final response.

How it works

  1. 1A drafted questionnaire flagged for review triggers the workflow.
  2. 2The workflow groups flagged rows by control domain and resolves each domain's reviewer.
  3. 3The agent posts each flagged answer to its reviewer in Slack with approve or edit actions.
  4. 4A logic step waits for and applies each decision, writing edits back into the draft.
  5. 5When every flag is cleared, the finalized spreadsheet is written to Google Drive.
  6. 6A confirmation with the audit trail of approvers is posted to the deal channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect Google DriveDocs, sheets, slides, files.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect HTTP webhookTrigger any URL on agent actions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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