Automate Intercom Conversation Review with AI
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Transform your customer support with AI-powered Intercom conversation reviews. This workflow automatically analyzes chat transcripts, provides actionable feedback on agent performance, and helps you maintain high service standards.
About This Workflow
Elevate your customer support operations by leveraging AI to provide instant, insightful reviews of your Intercom conversations. This n8n workflow triggers an analysis of each chat, extracting key details about response times, clarity, tone, urgency handling, and problem resolution. The AI then acts as a dedicated QA reviewer, offering constructive, coaching-style feedback directly to your team. This enables faster identification of areas for improvement, consistent service quality, and ultimately, happier customers. By automating this crucial aspect of support management, you empower your agents to grow and your business to scale effectively.
Key Features
- Automated Conversation Analysis: Automatically processes Intercom chat transcripts.
- AI-Powered QA: Utilizes an AI agent to evaluate agent performance against key metrics.
- Actionable Feedback: Delivers clear, coaching-style feedback in an easy-to-understand format.
- Performance Metrics: Assesses response time, clarity, tone, urgency handling, ownership, and problem resolution.
- Customizable AI Prompts: Tailor the AI's evaluation criteria and feedback style to your specific needs.
How To Use
- Set up the Intercom Webhook: Configure an Intercom webhook to trigger this workflow whenever a new conversation is updated or completed.
- Configure HTTP Request Node: Connect to your Intercom API using your credentials to fetch conversation details.
- Process Conversation Parts: Utilize the
Split OutandCodenodes to extract and format individual comments and their associated metadata from the conversation. - Format Chat Transcript: The
Code1node prepares the cleaned chat transcript for AI analysis, including timestamps, speakers, and author names. - AI Agent for Feedback: The
AI AgentandOpenAI Chat Modelnodes work together to analyze the formatted transcript. Customize theAI Agent's system message to define specific evaluation criteria and desired feedback style. - Receive and Act on Feedback: The output from the AI agent will be a structured JSON array containing the review and scoring for each conversation. Integrate this with your internal communication tools or CRM to deliver feedback to your support team.
Apps Used
Workflow JSON
{
"id": "8d39f749-70c7-4a7c-b108-3e2218f2ef4e",
"name": "Automate Intercom Conversation Review with AI",
"nodes": 16,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8d39f749-70c7...
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