AI Lead Qualification & CRM Automation
I built a production AI system that enriches, scores, and qualifies leads using Apollo, PDL, and Claude AI — writing decisions and talking points back to HubSpot.
How It's Used:
A Sales Rep creates a HubSpot contact. n8n detects it, enriches via Apollo/PDL, runs Claude AI scoring, writes results back in under 60s. Qualified leads trigger Slack alerts.
Key Highlights
– 5-agent pipeline: Research, Qualification, Routing, Engagement, Feedback
– Parallel enrichment + Claude AI analysis
– n8n: HubSpot trigger → Vercel → CRM writeback + Slack
– Configurable ICP settings — no code needed
Outcomes
✓ End-to-end HubSpot → AI → CRM in under 60s
✓ 4-dimension scoring with feedback loop
✓ Live ops dashboard
Stack - Python · Vercel · Supabase · n8n · Claude API · Apollo · PDL · HubSpot · Slack · React
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