CUSTOMER SUPPORT

Find Hand-Typed Zendesk Replies That Should Be Macros or Docs

Scans recent Zendesk replies that did not use a macro, clusters the repeated manual answers.

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionFetch non-macro replies from ZendeskZendeskZendesk
  • ActionCluster repeated manual answers with OpenAIOpenAI
  • LogicKeep recurring clusters worth standardizing
  • ActionDraft macro + doc outline per clusterOpenAI
  • OutputCreate Confluence draft pagesConfluenceConfluence

What it does

Surfaces the answers your agents keep typing by hand. It looks at recent public replies sent without a macro, clusters the ones that say roughly the same thing, and drafts a Confluence page for each cluster proposing a canned response plus a candidate help-center topic.

When to use it

Use this when agents are reinventing the same answer in free text and your macro library has fallen behind. It catches deflection candidates that tag-based reports miss, because it reads what agents actually wrote rather than how tickets were labeled.

How it works

  1. 1A weekly schedule fires the run.
  2. 2Pull recent solved tickets from Zendesk and filter to public replies sent without a macro.
  3. 3OpenAI clusters near-duplicate manual answers and writes a canonical version of each.
  4. 4A logic step keeps clusters that recurred enough to be worth standardizing.
  5. 5OpenAI drafts a Confluence page per cluster with a proposed macro, a public-doc outline, and example tickets.
  6. 6Create each draft page in the internal support Confluence space for review.

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
    Connect ConfluenceSpaces, pages, blueprints.
  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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