Ali Khan

Senior Account Executive | Enterprise AI & SaaS | Voice AI, LLM Solutions | US GTM

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Five years building AI systems for businesses across multiple verticals. The common thread: understanding what actually drives conversion, not what sounds impressive in a deck.

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My current focus is simple: businesses that already have functional lead generation don't need more traffic. They need better conversion infrastructure. I work primarily with HVAC contractors, real estate brokerages, and insurance providers—any operation where the gap between "lead captured" and "revenue collected" represents significant margin leakage. Convin's platform operates like a trained sales team: it knows when to use WhatsApp versus a phone call, when to follow up, when to back off. Multi-channel engagement that adapts to customer behavior in real-time. The system handles the entire lead lifecycle from first contact to closed deal. We've established white-label partnerships with agencies across the US. Their clients see measurable improvements in conversion rates. The agencies generate recurring revenue without building technical infrastructure. The model works when three conditions exist: established client relationships, appointment-based revenue models, and quantifiable conversion gaps. If that describes your client base, reach out! Just to get an idea of what AI tech is available in 2026