What are conversation insights?

Conversation insights are the AI's briefing on a thread: what it's about, how the customer feels, which products came up, and what should probably happen next. They appear in the dashboard as structured context so staff can triage and decide without reading every message from the top.

The four fields

For eligible conversations, insights surface the topics discussed (shipping, sizing, defect, and so on), the customer's sentiment across the exchange, the catalog products mentioned, and a recommended ticket action such as close, monitor, or escalate. Together they make a scannable briefing before an agent opens the full transcript or takes over from the AI.

The recommendation is a suggestion

Insights assist staff; they don't replace judgment. Accept the recommended action when it matches the situation, override it when the thread needs a different outcome. The AI might suggest closing after a routine tracking answer while your agent, hearing uncertainty in the customer's tone, chooses to monitor instead. That override is expected. People stay accountable for the final disposition, and for high-stakes issues, confirm the summary against the message history before acting.

The long game is patterns

Because topics, sentiment, and recommended actions are captured consistently, they support analytics and reporting over time. Managers can spot rising defect themes, products with repeated confusion, or changing escalation rates without manually tagging every ticket.