Pulse

A Live View of What Your AI Agent Is Actually Doing

Pulse gives your support team a real-time window into every customer conversation your AI agent is handling, so the issues that need a human reach one before the customer gives up.

Pulse maintains a rolling 48-hour view of all support activity, tracking sentiment, volume patterns, and emerging issue clusters as they develop. When a conversation starts heading in the wrong direction, your team sees it in time to do something about it, not after a ticket is closed and the customer has already decided to leave.

Priority intervention

The conversations that cannot wait

Some interactions need a human in the room immediately. Priority Intervention surfaces the conversations where a customer is deeply unhappy in real time, so your team can step in before the situation deteriorates further.

Clear context on what happened, why it was flagged, and what is at stake means your team arrives informed, not catching up.

Screenshots of customer service chat messages about customer threats to leave and distrust. The first message quotes a customer saying, "I'll never order from your company again," citing delay in delivery and policy as reasons. The second message quotes a customer saying, "I don't believe you! This is a scam!," expressing distrust and threatening to report or cancel the account.

Early warning signals

Not every problem announces itself

The conversations most likely to become churn do not always start with an angry message. Early Warning Signals detect the patterns that indicate a relationship heading in the wrong direction, flagging them before they become urgent.

Your team gains the time to make a considered intervention rather than a reactive one. That difference is often what determines whether a customer stays or leaves.

Screenshots of customer service notifications with red warning labels, discussing stock issues and address entry errors.

Customer frustration watch

Sentiment across your entire operation, at a glance

Customer Frustration Watch gives you a real-time read on how customers are feeling across all active conversations. When frustration levels shift, you see it immediately, across individual interactions and as a pattern across your whole support operation.

It tells you not just that something is wrong, but where, and how widespread it is.

Two emoji faces with sweat drops, one sad and one very sad, alongside percentages and conversation counts.

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