AI Lead Engine — AI-Powered Lead Generation & Sales Workflow Automation

Sales and business development teams often spend significant time finding potential customers, researching businesses, organizing lead information, prioritizing prospects, and preparing personalized outreach. When these activities are handled across separate tools or manually, it becomes difficult to maintain an organized pipeline and follow up consistently. The goal of AI Lead Engine is to streamline these workflows and help teams focus their time on the most relevant prospects.

I designed and built AI Lead Engine, a lead-generation and sales workflow automation platform. Its core capabilities include: - Lead discovery through Google Places integration, with mock data available when API credentials are not configured. - Business website research and email enrichment. - Optional AI-powered lead scoring to help prioritize promising prospects. - AI-assisted outreach message and email drafting. - A centralized CRM pipeline for tracking leads through different stages. - Multi-tenant application design, role-based access control, and usage limits. - A SQLite database for storing application data. - Stripe test-mode payment integration readiness. My role covered solution design, application development, AI integration, workflow implementation, and testing. The objective was to bring lead research, qualification, outreach preparation, and pipeline management into one system. AI scoring and drafting depend on the relevant model API configuration. The project is an independently developed prototype, and I have not established verified production business-impact figures.

The project brings several lead-generation activities into a single workflow, including lead discovery, business enrichment, AI-assisted qualification, outreach drafting, and pipeline tracking. It provides a foundation for reducing repetitive manual work, improving consistency in lead management, and helping sales teams prioritize their outreach. The current outcome is a functional prototype with implemented workflow capabilities. Production adoption, hours saved, conversion-rate improvements, and revenue impact have not yet been measured, so no quantified business results are claimed.