Autonomous Lead Qualification & CRM Enrichment

Built with n8n
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An end-to-end autonomous Lead Qualification & CRM Enrichment workflow built in n8n. It captures incoming leads via Webhook, enriches profile data with Apollo.io, scores intent and qualifies leads using AI Agents, and synchronizes qualified records across HubSpot CRM and Airtable.

Key Architecture

  • Lead Ingestion: Webhook trigger with execution delay logic to handle bulk leads
  • Enrichment: Real-time data enrichment using Apollo.io API
  • AI Qualification Engine: Evaluates lead intent, budget fit, and conversion probability
  • Dual-CRM Sync: Auto upserts in HubSpot CRM + creates audit logs in Airtable
  • Intent Routing (Switch Node):
    • :fire:Hot Leads: Secondary AI Agent (Google Gemini) + Personalized Gmail outreach
    • :thermometer: Warm Leads: Immediate tailored follow-up
    • :snowflake: Cold Leads: Telegram alerts + drip delays
  • Error Handling: Dedicated Error Trigger node with Telegram alerts

Nodes Used

Webhook, Apollo.io, AI Agent, Google Gemini Chat Model, Switch, HubSpot, Airtable, Gmail, Telegram

Target Audience

Ideal for B2B SaaS, Agencies & Recruiters.

Video Walkthrough :

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This is an awesome workflow Jayaprakash_R1! Does it work swapping in Lusha as the data enrichment layer?

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Nice build. One suggestion for the dual-CRM sync: upsert HubSpot by email as the unique key and store the HubSpot contact ID in the Airtable log row, so retries from the Error Trigger don’t create duplicates. Also worth adding a quick dedupe check before the AI scoring step to save tokens on repeat leads.