Most support teams react after something goes wrong. This system helps you respond before issues cause churn.

The AI Agent Support Analyzer System Blueprint is designed to handle 90% of customer support interactions through AI, reducing support costs, response time, and customer frustration — all while improving retention.

Built with n8n, this blueprint uses advanced LLMs (like Gemini 1.5 Flash and OpenAI GPT-4o) to detect the tone, urgency, and category of inbound messages from Gmail and Telegram, and take the appropriate action in real time.

It doesn’t just respond — it analyzes.

It doesn’t just automate — it adapts.

Whether your customer is sending a frustrated email, a Telegram voice message, or asking about an order, the system intelligently understands the context and routes the issue to:

• An instant reply,
• A personalized escalation,
• A new support ticket,
• Or a notification for your team.

And it does all this using tools you already know — like Google Sheets, Gmail, Pinecone, and Qdrant — supercharged with local and cloud-based LLMs.

Why This System Exists

Most SaaS companies spend $1M+ on bloated support stacks and still lose customers due to:

• Slow replies
• Missed follow-ups
• Poor escalation logic

This AI-powered system changes that by:

• Detecting frustration and urgency automatically
• Connecting to live databases for order, FAQ, and user history