Lead Qualification Bot: AI-Powered BANT

Lead Qualification Bot: AI-Powered BANT Scoring System (n8n + Gemini)

Problem: Manual lead triage wastes sales time and delays response to high-intent leads. I built and stress-tested this system to prove how AI can qualify and route leads instantly — this is a self-directed portfolio build, not a live client engagement, but every scenario below reflects a production-ready workflow.

Solution: A form trigger captures lead data, Google Gemini scores the lead using BANT criteria (Budget, Authority, Need, Timeline), and a Code node parses the structured AI output. From there, three branches run in parallel: every lead logs to Google Sheets, every lead gets an automatic Gmail reply, and hot leads specifically trigger an instant Slack alert to the sales team.

Result: Tested across 5 distinct lead scenarios (hot/warm/cold) with 100% correct BANT classification. Hot leads trigger Slack alerts within seconds of submission — no manual triage required. The parallel branch architecture means logging, email response, and team alerting all happen simultaneously, not sequentially.