Use AI Analysis

Written by:Amr Mohamed

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AI Analysis helps support teams quickly identify:

  • customer intent

  • conversation quality

  • support outcomes

  • escalation opportunities

  • response issues

This helps teams improve both AI and human support workflows.

Open a conversation

To review AI Analysis:

  1. Open your AI Agent workspace

  2. Go to Inbox

  3. Open a conversation

Inside the conversation view, AI Analysis may appear alongside the conversation details.

Review customer intent

AI Analysis can help identify what the customer is trying to achieve.

Examples may include:

  • order tracking

  • refund requests

  • technical troubleshooting

  • onboarding help

  • product questions

Understanding customer intent helps teams improve support workflows and AI responses.

Review conversation quality

AI Analysis may highlight:

  • unclear responses

  • escalation risks

  • missing information

  • weak AI answers

This helps support teams identify where improvements are needed.

Identify escalation opportunities

Some conversations may require:

  • Human Handoff

  • manual review

  • ticket creation

  • follow-up support

AI Analysis can help teams detect when AI support may not be enough for the situation.

Improve support workflows

Teams often use AI Analysis to:

  • improve AI instructions

  • update support documentation

  • identify repetitive customer problems

  • optimize conversation flows

Recurring conversation patterns usually reveal the most important support gaps.

Combine AI Analysis with Trained Answers

AI Analysis works well alongside:

  • Trained Answers

  • Inbox reviews

  • internal articles

  • snippets

  • synced content

Together, these tools help improve long-term AI performance.

Review conversations regularly

Many support teams review conversations regularly to:

  • monitor AI quality

  • improve customer experience

  • maintain support consistency

  • refine operational workflows

Regular reviews usually lead to better AI performance over time.

Best practices for AI Analysis

For better operational insights:

  • review recurring customer questions

  • monitor escalated conversations

  • identify weak support flows

  • improve knowledge gaps quickly

Continuous analysis helps maintain a healthier support operation.

PRO TIP:
Focus on conversations where customers became confused or required human support. These conversations usually reveal the biggest opportunities for AI improvement.

Next steps

  • Understand conversation details

  • Understand trained answers

  • Correct AI answers

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