Build an AI Lead Qualifier in n8n in 15 Minutes (Free Workflow)

Описание и применение

Создайте автоматический квалификатор лидов в n8n за 15 минут, используя LLM для оценки входящих заявок и отправляя уведомления в Slack только для лидов с высоким баллом.

Задача

Inbound leads go cold while you're busy.

Результат

The workflow scores inbound leads from 0 to 100 using BANT, returns a JSON with score, tier, summary, reasons, and next_step, and sends a Slack ping for scores ≥70.

Рабочий процесс

• Webhook
• Config
• Build Prompt
• LLM (HTTP)
• Parse
• IF score ≥ 70
• Slack
• Respond

Доказательства

Inbound leads go cold while you're busy. Here's a 5-node n8n workflow that scores every form submission with an LLM and pings Slack only for the leads worth your time.

Источник

Webhook → Config → Build Prompt → LLM (HTTP) → Parse → IF score ≥ 70 → Slack → Respond

Источник

I don't use a vendor-specific AI node. The LLM call is a plain HTTP Request to /chat/completions, so it works with OpenAI, Groq, OpenRouter, or local Ollama. Just change baseUrl.

Источник

You are a B2B sales analyst. Score inbound leads 0-100 for fit and intent using BANT. Return JSON: {score, tier, summary, reasons[], next_step}

Источник

Response: {"score":82,"tier":"hot","next_step":"Book a call this week..."}, and a Slack ping.

Источник