CUSTOMER SUPPORT

Map Orphan Macros to Help-Center Articles and Flag Coverage Gaps

Finds Zendesk macros that aren't linked to any help-center article, uses the LLM to match each to the most relevant Confluence doc.

CategoryCustomer Support
EngineSim + Paperclip
Difficultyintermediate
Triggermanual
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerManual run kicks off the mapping pass
  • ActionList macros and detect those missing a help-center linkZendeskZendesk
  • ActionSearch Confluence for candidate articles per macroConfluenceConfluence
  • ActionLLM picks best match and scores confidenceOpenAI
  • LogicBranch into mapped, low-confidence, and no-match groups
  • OutputWrite coverage map to Confluence and post counts to SlackConfluenceConfluence

What it does

Drift detection only works when every macro has a source-of-truth article to compare against. This workflow tackles the blind spot: it finds macros with no Confluence link, semantically matches each one to the best candidate article, and where no good match exists, flags it as either an orphan macro to retire or a missing doc to write. The result is a coverage map plus a gap list.

When to use it

Run it as a one-time cleanup or quarterly hygiene pass before relying on the other drift audits. Ideal when your macro library has grown organically and you no longer know which canned answers are backed by documentation.

How it works

  1. 1A manual run kicks off the mapping pass.
  2. 2List all Zendesk macros and detect which ones lack a help-center link.
  3. 3Search the Confluence knowledge base for candidate articles per unlinked macro.
  4. 4The LLM picks the best-matching article and scores confidence, or returns no match.
  5. 5Branch results into mapped, low-confidence, and no-match groups.
  6. 6Write the full coverage map and gap list to a Confluence audit page and post the headline counts to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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.

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