AI-Powered Lead Qualification System — Zero Manual Data Entry

Built an end-to-end lead capture and qualification system for a B2B service business using Make.com, OpenAI GPT-4, and HubSpot.

THE PROBLEM: The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors.

THE SYSTEM I BUILT: → CAPTURE: Typeform webhook triggers automation the instant a form is submitted → QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority → ENRICH: Apollo.io API appends company size, revenue, tech stack, and LinkedIn URL automatically → ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context → NURTURE: Cold leads enter a 7-day email sequence before sales touches them → SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility

THE RESULTS: • Lead-to-CRM time: 4 hours → 90 seconds • Sales rep prep time per lead: 15 minutes → 30 seconds • Data loss rate: 0% • Sync accuracy: 99.7%

TECH STACK: Make.com | OpenAI GPT-4 | HubSpot | Apollo.io | Slack | Google Sheets | Typeform

WHY THIS WORKS: Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.