CHATBOTS

Discord IT helpdesk bot with doc-grounded answers and Linear ticket fallback

Answers employee IT and policy questions in Discord from your indexed Confluence docs, and opens a Linear ticket automatically when it can't find a confident answer.

CategoryChatbots
EngineSim + Paperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew message in Discord IT-help channelDiscordDiscord
  • ActionRetrieve matching passages from ConfluenceConfluenceConfluence
  • ActionDraft grounded answer with confidence scoreOpenAI
  • LogicBranch on answer confidence threshold
  • ActionOpen Linear ticket for unresolved questionLinearLinear
  • OutputReply in Discord thread with answer or ticket linkDiscordDiscord

What it does

Watches a Discord IT-help channel for employee questions about access, policies, and tooling. It retrieves relevant passages from your Confluence space, drafts a grounded answer with citations, and replies in-thread. When the docs don't cover the question, it stops guessing and files a Linear ticket so a human picks it up.

When to use it

Run this when your IT team is drowning in repetitive Discord questions ("how do I get VPN access?", "what's the laptop refresh policy?") and you want a first-line bot that deflects the easy ones without inventing answers for the hard ones.

How it works

  1. 1A new message in the designated Discord help channel triggers the flow.
  2. 2The bot searches indexed Confluence pages for passages matching the question.
  3. 3An OpenAI call drafts an answer strictly from the retrieved text and returns a confidence score.
  4. 4A logic branch checks confidence against a threshold.
  5. 5If confident, it posts the cited answer back to the Discord thread.
  6. 6If not, it creates a Linear ticket with the question, channel link, and asker, then tells the user a ticket was opened.

Set it up

What you configure once, before turning it on.

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

Run this workflow in your colony.

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