GTM Automation
AI-Powered Lead-to-Revenue Automation
This project automates the entire path from inbound lead to deal creation — contact enrichment, AI-powered scoring, rep routing, and CRM writes, all triggered in real time the moment a lead submits a form. I built it from scratch on n8n Cloud, integrating HubSpot and OpenAI to run ten discrete operations in a single workflow execution. By the time a rep opens their queue, the deal is already there — scored, staged, and accompanied by an AI-generated brief telling them exactly why this lead is worth a call.
n8n Cloud · HubSpot CRM API · OpenAI GPT-4o-mini
① Capture
Webhook: Inbound Lead
POST trigger — fires the moment a form is submitted
Fetch Contact Record
HubSpot CRM API v3 — pulls existing contact data
② Enrich
Enrich Lead Data
Firmographic layer — title, seniority, company size, industry, tech stack
③ Score & Route
AI: Score Lead
GPT-4o-mini via Responses API — returns JSON score, tier, ICP fit, rep brief & talk track
Parse Scoring Output
JSON normalization — validates and extracts structured fields
Score-Based Router
Routes lead by tier — deterministic, no ambiguity
Hot
Warm
Cold
Disqualified
④ CRM Execution
Hot / Warm / Cold
Build Deal & Route Rep
Sets stage, amount & owner by company size
Create Deal
HubSpot CRM — new deal record
Associate Deal → Contact
Dedicated PUT request — separate from creation
Update Contact Record
Writes score, tier & ICP fit as custom properties
Update Deal Record
Writes AI brief, rationale & talk track
Disqualified
Disqualify Lead
Short-circuits cleanly — no deal, no notification
