Score call quality and send coaching emails with Gemini, OpenAI, and Gmail
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (9)
- Google Drive Trigger
n8n-nodes-base.googleDriveTrigger - Google Drive
n8n-nodes-base.googleDrive - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Gmail
n8n-nodes-base.gmail - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Gemini
@n8n/n8n-nodes-langchain.googleGemini - AI Agent
@n8n/n8n-nodes-langchain.agent - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
What it does
This workflow helps contact centers and support teams automatically evaluate call quality and send coaching feedback without manual review. It uses AI to transcribe calls, score performance, detect risks, and generate clear feedback for agents. How it works Fetch recordings The workflow watches a Google Drive folder and downloads new call audio files automatically. Transcribe with AI Each recording is converted into a structured transcript using the Gemini model. Score performance An AI Agent evaluates the transcript against key criteria such as empathy, solution quality, clarity, and policy adherence. Detect risks and insights The workflow flags potential issues (e.g. missing consent or sensitive data) and extracts sentiment for both agent and customer. Send coaching email A personalized performance summary with strengths and improvement points is generated and sent to the agent via Gmail. Setup steps 1. Connect Google Drive and select your recordings folder 2. Add your Gemini API key for transcription 3. Add your OpenAI key for scoring and feedback generation 4. Connect Gmail to send automated coaching emails (Optional) Customize scoring criteria inside the AI Agent node