CUSTOMER SUPPORT

Zendesk Refund Ticket Policy Triage and Router

Triages incoming Zendesk refund tickets by policy tier, drafts an appropriate macro reply.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Zendesk refund ticketZendeskZendesk
  • ActionClassify ticket into policy tierOpenAI
  • LogicBranch: standard vs. exception tier
  • ActionAdd drafted macro reply as internal noteZendeskZendesk
  • OutputRoute exceptions to supervisor queue with rationaleZendeskZendesk

What it does

Every refund-related Zendesk ticket is classified into a policy tier — standard, partial, or exception — then gets a matching draft reply. Clear-cut tickets are prepped for fast resolution; risky ones are tagged and moved to a supervisor queue so nothing borderline ships without review.

When to use it

Use it when a shared refund inbox mixes simple in-window requests with messy edge cases, and you want consistent tiering plus a clean handoff for the cases a supervisor must own.

How it works

  1. 1A new or updated Zendesk ticket matching refund criteria triggers the flow.
  2. 2An OpenAI step reads the ticket and customer history, then assigns a policy tier and a recommended action.
  3. 3A logic branch separates standard/partial tiers from exception or high-dollar tiers.
  4. 4Standard tickets receive a drafted macro reply added as an internal note and are tagged for agent send.
  5. 5Exception tickets are tagged, reassigned to the supervisor group, and updated with the policy rationale.
  6. 6A summary line is written back to the ticket so the next agent sees the verdict at a glance.

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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