CUSTOMER SUPPORT

Front Frustration Detector with Senior-Agent Recovery Draft

Scores every inbound Front message for emotional escalation and, when a customer reads as frustrated, drafts a recovery reply and assigns the conversation to a senior agent.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew inbound message in Front inboxFront
  • ActionScore message for frustration and churn riskOpenAI
  • LogicBranch: frustration score over threshold?
  • ActionDraft recovery reply on the conversationOpenAI
  • OutputCreate Front draft and assign to senior agentFront

What it does

Watches inbound replies in a Front inbox, scores the customer's emotional state, and intervenes the moment frustration crosses a threshold. It pre-writes a calm, on-brand recovery reply as a Front draft and reassigns the conversation to a senior agent so a human approves and sends rather than starts from a blank box.

When to use it

Use it on a high-volume support inbox where a few angry threads get buried under routine tickets. It surfaces the customers most likely to churn and gives your best agents a running start.

How it works

  1. 1A new inbound message lands in the watched Front inbox and fires the trigger.
  2. 2An LLM scores the message for frustration, anger, and churn-risk signals on a 0-100 scale.
  3. 3A branch checks the score against the escalation threshold; calm threads exit quietly.
  4. 4For flagged threads, the model drafts a recovery reply grounded in the conversation history.
  5. 5The draft is created on the Front conversation and it is reassigned to the senior-agent inbox with a priority tag.

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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