CUSTOMER SUPPORT

Zendesk: Draft KB-Grounded Reply for Agent Review

When a new Zendesk ticket arrives, searches your help center, drafts a cited answer with OpenAI, and attaches it as an internal note for an agent to approve before sending.

CategoryCustomer Support
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Zendesk ticket createdZendeskZendesk
  • ActionSearch Help Center articles for ticket topicZendeskZendesk
  • LogicBranch: skip if no article clears confidence threshold
  • ActionDraft cited reply from matched articlesOpenAI
  • OutputPost draft as internal note for agent reviewZendeskZendesk

What it does

Turns every inbound Zendesk ticket into a ready-to-edit draft reply that is grounded in your existing help center articles. The draft lands as an internal note, never an auto-send, so a human always makes the final call.

When to use it

Use this when your queue is full of repetitive how-to questions and you want agents to spend seconds editing instead of minutes writing from scratch. Ideal for teams that want deflection-style speed without sacrificing the human review step.

How it works

  1. 1A new ticket is created in Zendesk and fires the trigger.
  2. 2The ticket subject and body are searched against your Zendesk Help Center articles.
  3. 3If no relevant article scores above the confidence threshold, the ticket is routed untouched to a human and the flow stops.
  4. 4OpenAI drafts a reply using only the matched article passages, with inline source links.
  5. 5The draft is posted back to the ticket as a private internal note tagged "ai-draft" for the assigned agent to approve, edit, or discard.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    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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