CUSTOMER SUPPORT

KB Gap Backlog Builder from Front Conversations

Daily, it reviews resolved Front conversations tagged as not-in-KB, clusters them into topics.

CategoryCustomer Support
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionFetch resolved Front conversations tagged not-in-KBFront
  • ActionCluster and rank topics by frequency and tierOpenAI
  • LogicDedupe against existing backlog rows
  • ActionWrite outline and title per new topicOpenAI
  • OutputUpsert ranked topics into Airtable backlogAirtableAirtable

What it does

Instead of generating finished articles, this builds a prioritized, deduplicated content backlog from your shared inbox. Agents flag conversations the KB could not answer; the workflow turns that raw signal into ranked, outlined backlog items your content team can pull from.

When to use it

Best when you run support through Front and want a steady, ranked queue of article ideas rather than auto-drafted full pages. Good for teams that prefer humans to write but want the topic discovery automated.

How it works

  1. 1A daily schedule triggers the run.
  2. 2It fetches resolved Front conversations carrying the not-in-KB tag from the last day.
  3. 3An OpenAI step clusters them into topics and ranks clusters by frequency and customer tier.
  4. 4It dedupes new clusters against existing Airtable backlog rows.
  5. 5For each genuinely new topic it writes a short article outline and suggested title.
  6. 6It upserts the topic, ticket count, rank, and outline into the Airtable backlog table for an SME to claim.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  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.

Run this workflow in your colony.

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