CHATBOTS

Nightly Confluence freshness audit for the IT helpdesk knowledge base

Runs every night to find IT policy pages that are stale or contradict recent answers, then posts a digest to Discord and opens Linear tickets to get them updated.

CategoryChatbots
EngineSim + Paperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule fires
  • ActionList IT policy pages and metadata from ConfluenceConfluenceConfluence
  • ActionEvaluate pages for staleness and contradictionsOpenAI
  • LogicFilter to pages failing freshness checks
  • ActionOpen a Linear cleanup ticket per flagged pageLinearLinear
  • OutputPost freshness digest to DiscordDiscordDiscord

What it does

Keeps the bot's source of truth honest. Each night it scans the Confluence space the helpdesk bot reads from, flags pages past their review-by date or missing owners, and uses an LLM to spot internal contradictions. It then reports the findings and creates cleanup tickets so the knowledge base doesn't silently rot.

When to use it

Use this when your helpdesk bot is only as good as its docs and you have no process for catching outdated policies. It surfaces decay before employees get wrong answers, and assigns the fixes instead of leaving them as a vague backlog.

How it works

  1. 1A nightly schedule triggers the audit.
  2. 2The flow lists IT-policy pages and their metadata from Confluence.
  3. 3An OpenAI pass evaluates each page for staleness, missing owners, and contradictions.
  4. 4A logic filter keeps only pages that fail the freshness checks.
  5. 5It opens a Linear ticket per flagged page, assigned to the page owner where known.
  6. 6It posts a summary digest of all flagged pages to the IT team's Discord channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ConfluenceSpaces, pages, blueprints.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect LinearIssues, projects, cycles, triage.
  4. 4
    Connect DiscordCommunity channels + voice + bots.
  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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