CUSTOMER SUPPORT

Weekly Multilingual Macro Library Drift Audit

On a schedule, fetches every localized Zendesk macro, round-trips each against its source variant.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionFetch all localized macros from ZendeskZendeskZendesk
  • ActionBack-translate + score each variantOpenAI
  • LogicRank and keep variants below threshold
  • ActionWrite flagged variants to Notion audit DBNotionNotion
  • OutputPost drift digest to SlackSlack

What it does

Runs a recurring health check across your entire localized macro library. It pulls all macros from Zendesk, back-translates each non-source variant, scores its fidelity against the source macro, and surfaces the worst offenders so you can prioritize fixes.

When to use it

Use it when macros were translated once and have since drifted from edits to the source language, or when you onboarded a new language and want a baseline quality pass. Ideal as a Monday-morning localization standup input.

How it works

  1. 1A weekly schedule triggers the audit.
  2. 2Zendesk returns all active macros, grouped by their source variant.
  3. 3For each localized variant, OpenAI back-translates it and scores semantic equivalence against the source, listing concrete meaning changes.
  4. 4A logic step ranks variants by fidelity score and keeps only those below threshold.
  5. 5The flagged variants are written to a Notion audit database with scores, language, and diffs.
  6. 6A Slack digest posts the top drift offenders and a link to the full Notion report.

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 NotionPages, databases, comments.
  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.

Run this workflow in your colony.

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