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Configuring AI Escalation Rules

1 min readAug 21, 2026

In this article

Decide when your AI agent should hand a conversation off to a human, and which inbox it should land in.

An AI agent shouldn't try to handle everything. Escalation rules define when it should step back and hand the conversation to a real person instead.

When escalation happens

  • No answer – the AI can't find a relevant answer for the customer's question.

  • Frustration – the AI detects the customer is getting frustrated with the conversation.

  • Explicit request – the customer directly asks to speak to a human.

Where escalated conversations go

You choose the target inbox escalated conversations land in, so they reach the right team instead of a general queue nobody's watching closely.

Controlling what the AI can see

Before it even gets to escalation, you can control what data the AI is allowed to access while it's handling a conversation, including conversation history, contact details, and the customer's location. This is configured in the Access tab, alongside Training and Escalation.

Troubleshooting frequent escalations
If the AI keeps escalating conversations it should be able to answer, check the Training tab first. Escalation is often a sign the AI is missing content it needs, not a setting that needs adjusting.

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