CHATBOTS

Front Reassignment Handoff Summarizer

When a Front conversation is reassigned to a new agent, it generates a plain-English summary of the thread history and posts it as an internal comment so the incoming agent has…

CategoryChatbots
Enginesim
Difficultybeginner
Triggerevent
Steps4
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation reassigned to new agentFront
  • ActionFetch full thread message historyFront
  • ActionSummarize thread into handoff briefOpenAI
  • OutputPost handoff summary as internal comment, tag new assigneeFront

What it does

The moment a Front conversation changes assignee, this bot reads the full message history and writes a concise handoff brief — what the customer wants, what's already been promised, and the open question — then drops it as an internal comment on the same conversation. The new agent opens the thread to a ready-made briefing instead of scrolling weeks of replies.

When to use it

Use it on busy shared inboxes (support@, billing@) where conversations bounce between agents or shifts. It kills the "let me catch up first" delay and prevents the customer from re-explaining their problem to each new person.

How it works

  1. 1Front fires the conversation assignee-changed event to the workflow.
  2. 2The bot pulls the conversation's full message history through the Front API.
  3. 3An OpenAI call distills the thread into a structured handoff: customer ask, actions taken, blockers, suggested next step.
  4. 4It posts that summary back as an internal comment on the Front conversation, @-tagging the new assignee.

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
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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