CHATBOTS

Reaction-triggered Discord answer escalation to Zendesk

When a member reacts to an unresolved Discord message with a help emoji, this drafts a docs-grounded answer and, if it can't confidently resolve the issue, opens a Zendesk ticket…

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHelp emoji reaction added in DiscordDiscordDiscord
  • ActionFetch reacted message and thread contextDiscordDiscord
  • ActionRetrieve docs and draft answer with confidenceOpenAI
  • LogicBranch on confidence score
  • OutputPost answer in Discord thread (confident)DiscordDiscord
  • OutputOpen Zendesk ticket with thread (not confident)ZendeskZendesk

What it does

Instead of answering everything automatically, this workflow waits for a signal: a member adds a designated emoji reaction (for example a lifebuoy) to a message they still need help with. The bot reads the thread, attempts a grounded answer from your docs, and posts it. If its confidence is low, it opens a Zendesk ticket containing the entire conversation and its draft, then tells the member a human will follow up.

When to use it

Use it when you don't want a bot replying to every message but do want a fast, explicit way for stuck members to summon help. The emoji acts as a deliberate opt-in, so the bot only spends effort on questions people actually flag as unresolved.

How it works

  1. 1A target emoji reaction added in Discord fires the trigger.
  2. 2The workflow pulls the reacted message and surrounding thread for context.
  3. 3Doc passages are retrieved and an LLM drafts an answer with a confidence score.
  4. 4A branch evaluates the confidence score.
  5. 5Confident: the answer is posted in the Discord thread.
  6. 6Not confident: a Zendesk ticket is created with the thread and draft, and the member is notified in-channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect ZendeskTickets, queues, knowledge base.
  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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