AI AGENTS

Re-validate cached questionnaire answers when a policy changes

When a security policy page is edited in Confluence, an agent finds every saved questionnaire answer that cited it and re-checks whether the answer is still accurate.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerPolicy page updated in ConfluenceConfluenceConfluence
  • ActionIdentify what changed in the policy
  • ActionFind cached answers citing this policyPostgreSQLPostgres
  • LogicClassify each answer: consistent, outdated, needs-rewrite
  • ActionMark outdated answers stale in libraryPostgreSQLPostgres
  • OutputPost drift summary to SlackSlack

What it does

Keeps your answer library honest. The moment a policy changes, it locates the canned answers that were built on that policy and verifies each one still matches the updated text, so you never send a vendor an answer that contradicts your current controls.

When to use it

Use this if you maintain a reusable answer bank and your policies actually change over time (new MFA rules, updated retention windows, vendor swaps). Prevents stale answers from silently going out in future questionnaires.

How it works

  1. 1A page update in the Confluence security space triggers the run.
  2. 2The agent reads the new version and identifies what materially changed.
  3. 3It queries the answer library in Postgres for every cached answer referencing that policy.
  4. 4It compares each answer against the revised policy and labels it consistent, outdated, or needs-rewrite.
  5. 5Outdated answers are marked stale in the library and a summary of affected answers is posted to Slack for the compliance owner.

Set it up

What you configure once, before turning it on.

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

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