Automate ticket sentiment analysis with AI

Message
AI Analyzes
Sentiment Score

This workflow detects customer sentiment in real-time from every message, email, or conversation. The AI analyzes tone, language patterns, and emotional indicators to identify frustrated, angry, or at-risk customers. Sentiment scores are calculated continuously throughout the conversation, allowing for proactive intervention before issues escalate.

This workflow works natively within your existing ticketing system—whether you use HubSpot, Intercom, Zendesk, Salesforce, Freshdesk, Twilio Flex, or Front. There's no need to migrate to a new platform or change your existing setup. Sentiment data is sent to wherever you need it—Slack alerts for negative sentiment spikes, dashboard updates for team monitoring, or data warehouse exports for trend analysis. The system triggers escalation workflows when sentiment crosses critical thresholds. Sentiment patterns inform training and quality improvement initiatives.

Key benefits

Detect frustrated customers immediately
Prevent escalations before they happen
Prioritize at-risk customer conversations
Track sentiment trends across your team
Improve customer satisfaction proactively
Identify training opportunities from sentiment data
Mo

Seeing is believing

Get a personalized demo with Mo and see this automation in action. We'll walk you through exactly how it works with your ticketing system, answer your questions, and show you the ROI within 15 minutes.

Frequently asked questions