AI-Powered Inbound Lead Qualification System
Voice Call Analysis, Real-Time Alerts & Automated Lead Routing
AI-Powered Inbound Lead Qualification System
Project Overview
An enterprise-grade lead qualification pipeline that automatically analyzes incoming phone conversations, classifies leads as Hot or Cold using AI, instantly alerts sales teams about high-intent prospects, and maintains organized lead databases—all without manual intervention.
The Solution
I engineered an intelligent system that transforms every inbound call into actionable intelligence within seconds:
Vapi AI Voice Agent answers calls and conducts natural qualification conversations
Call transcript is automatically generated post-conversation
OpenAI analyzes the conversation for buying signals, urgency, budget discussions, and intent
Intelligent classification tags leads as "Hot" (high intent) or "Cold" (low intent)
Instant Slack notification alerts sales team about hot leads with full context
Automatic database entry logs all leads to organized Google Sheets (separate Hot/Cold sheets)
The entire process—from call end to sales notification—happens in under 60 seconds.
Key Features
AI Voice Agent: Conducts natural, conversational lead qualification 24/7
Intelligent Lead Scoring: OpenAI analyzes conversations using proven qualification criteria
Real-Time Hot Lead Alerts: Slack notifications with caller details, intent summary, and next steps
Comprehensive Data Capture: Records call duration, transcript, buying signals, pain points, timeline
Dual-Track Lead Management: Separate databases for hot and cold leads
Zero Manual Entry: Complete automation from call to CRM
Technologies & Integrations
Vapi AI - Voice agent for call handling & transcription
OpenAI GPT-4 - Conversation analysis & lead qualification
N8N - Workflow orchestration
Slack - Real-time sales team notifications
Google Sheets - Lead database & CRM
Webhook Architecture - Real-time data flow
