AI AGENTS

Resolved Front conversation to spoken callback voicemail

When a Front support conversation is archived as resolved, an agent drafts a warm spoken follow-up script, renders it to audio with ElevenLabs.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront conversation archived as resolvedFront
  • ActionFetch full thread and customer detailsFront
  • LogicSkip auto-replies and threads with no human response
  • ActionAgent drafts a personal 20-30s callback script
  • ActionRender script to MP3 in brand voiceElevenLabsElevenLabs
  • OutputAttach audio + transcript to Front and queue callbackFront

What it does

Turns a freshly resolved Front email/chat thread into a short, personal voicemail. The agent reads the conversation, summarizes what was fixed in plain language, generates a natural callback script, and produces an ElevenLabs audio file ready to send.

When to use it

For support teams who want a human-feeling touch after closing tickets — confirming the issue is resolved and inviting the customer to call back if anything resurfaces, without an agent manually recording each one.

How it works

  1. 1A Front conversation is archived/tagged resolved, firing the trigger.
  2. 2The agent pulls the full thread and customer name from Front.
  3. 3A logic step skips threads with no human reply or marked spam/auto.
  4. 4The agent writes a 20-30 second spoken script referencing the specific issue resolved.
  5. 5ElevenLabs renders the script to an MP3 in the chosen brand voice.
  6. 6The audio plus a transcript is attached back to the Front conversation and queued for callback delivery.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  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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