TICKET MANAGEMENT

Reopened-Conversation Stitcher for Front

When a Front conversation is reopened, it checks whether the customer is replying to an issue that was already split across other tickets and suggests stitching them back…

CategoryTicket Management
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation reopenedFront
  • ActionFetch contact's other recent conversationsFront
  • ActionScore topical overlap with OpenAIOpenAI
  • LogicKeep siblings about the same issue
  • ActionSummarize combined historyOpenAI
  • OutputSend stitch suggestion to SlackSlack

What it does

When a customer replies and reopens a Front conversation, this workflow looks for sibling tickets from the same contact about the same issue that got fragmented over time, and suggests stitching them into one thread so the agent sees the full history.

When to use it

Use it for long-running issues where a customer's follow-ups keep landing as fresh conversations. It catches the after-the-fact fragmentation that a create-time detector misses, keeping context in one place.

How it works

  1. 1A Front conversation-reopened webhook fires when a customer replies to an archived or resolved thread.
  2. 2The workflow pulls the contact's other recent conversations from Front by the same email or handle.
  3. 3OpenAI compares the reopened thread against each sibling and scores topical overlap.
  4. 4A threshold filter keeps only siblings that clearly belong to the same issue.
  5. 5For qualifying matches, OpenAI summarizes the combined history into a single recap.
  6. 6A Slack alert presents the stitch suggestion with links to all related conversations and a Stitch / Keep separate choice for the assigned agent.

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 SlackChannels, DMs, threads, mentions.
  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.

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