CUSTOMER SUPPORT

Flag stale knowledge base articles when resolved Front replies contradict them

When a Front conversation is resolved, compares the agent's answer to the matching knowledge base article and, if the reply contradicts or supersedes the doc, drafts an update…

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation resolvedFront
  • ActionExtract resolution + question with OpenAIOpenAI
  • ActionFind closest matching Notion articleNotionNotion
  • LogicBranch: reply contradicts the doc?
  • ActionDraft suggested revision with OpenAIOpenAI
  • OutputCreate Asana task to revise the articleAsanaAsana

What it does

Catches the opposite of a missing doc: a doc that exists but is now wrong. When a resolved Front reply conflicts with the article it should match, the workflow detects the contradiction, drafts a corrected version, and routes a revision task so the knowledge base stays accurate over time.

When to use it

Use it when your help center is large enough that articles drift out of date and agents quietly work around them in replies. It turns those workarounds into explicit update requests.

How it works

  1. 1A Front conversation is resolved, triggering the flow.
  2. 2OpenAI extracts the agent's resolution and the question it answers.
  3. 3The workflow finds the closest matching article in Notion.
  4. 4OpenAI compares the resolution against the article and scores any contradiction.
  5. 5A branch continues only when the reply clearly supersedes the doc.
  6. 6OpenAI drafts a suggested revision and an Asana task is created to apply it.

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 NotionPages, databases, comments.
  4. 4
    Connect AsanaTasks, projects, milestones — everywhere.
  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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