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Detect frustrated customers before they churn

AI monitors all open tickets for signs of frustration, repeated contacts, or SLA breaches and escalates before the customer churns.

4 nodes 6 min setup 4 integrations

Why use this workflow

Customer churn rarely happens suddenly. There are always signals: a frustrated tone in the latest ticket, a third contact about the same issue, an SLA deadline approaching with no resolution. The problem is that these signals are scattered across tickets, emails, and chat logs where no human has time to monitor them all. This AI workflow scans all open tickets on a regular schedule, analyzes the full conversation history for each one, and identifies escalation patterns like increasing frustration, repeated contacts, or approaching SLA breaches. When a risk is detected, the team lead gets an immediate alert via Slack and email with the full context and a recommended action. Customer success teams using AI escalation detection catch at risk accounts days earlier than manual monitoring because the agent never stops watching and never gets distracted.

What this workflow does

  1. 1Monitors open tickets on a scheduled basis
  2. 2AI analyzes ticket history for escalation signals
  3. 3Detects frustration patterns, repeated contacts, or SLA risk
  4. 4Immediately alerts the team lead via Slack and email

Tools & integrations

ZendeskOpenAISlackEmail

The founding offer

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