CUSTOMER SUPPORT

Re-Validate Macros When a Help-Center Article Changes

When a Confluence help-center article is published or updated, immediately checks which Zendesk macros cite it and flags any whose canned answer now contradicts the new version.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerConfluence article published or updatedConfluenceConfluence
  • ActionRead updated article body and URLConfluenceConfluence
  • ActionFind Zendesk macros referencing this articleZendeskZendesk
  • LogicExit if no macros reference the article
  • ActionLLM compares each macro to the new articleOpenAI
  • OutputAlert author and support-ops in SlackSlack

What it does

Instead of waiting for a nightly sweep, this workflow reacts the moment a help-center article changes. A Confluence publish event triggers a targeted recheck: it finds only the macros tied to that specific article and verifies each one against the freshly published text, so contradictions surface within minutes of a doc edit.

When to use it

Use it when documentation changes are the leading cause of macro drift and you want fast feedback to the writer who just made the edit. Ideal for teams practicing docs-as-source-of-truth, where a policy change should propagate to canned replies the same day.

How it works

  1. 1A Confluence webhook fires on article publish or update.
  2. 2Read the updated article body and identify its help-center URL.
  3. 3Query Zendesk for macros that reference that URL or article ID.
  4. 4If no macros reference the article, the run exits quietly.
  5. 5The LLM compares each matching macro to the new article text and flags contradictions with specifics.
  6. 6Notify the editing author and support-ops in Slack listing every macro that now needs a rewrite.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ConfluenceSpaces, pages, blueprints.
  2. 2
    Connect ZendeskTickets, queues, knowledge base.
  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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