Engineering Quantified Enterprise Outcomes

THE CHALLENGE:The firm was losing high-ticket executive leads due to a 6-hour average response time across Instagram DMs and web contact forms, with junior sales reps spending 25+ hours weekly manually qualifying applicants.

AI ARCHITECTURE:Engineered an autonomous multi-agent pipeline using Claude 3.5 Sonnet integrated with WhatsApp Business API and HubSpot. Leads are qualified within 45 seconds, contextually scored, and booked directly into senior partner calendars.

THE CHALLENGE:Reception staff was overwhelmed with after-hours inquiries, causing a 35% abandonment rate and a 22% no-show rate due to manual appointment confirmation bottlenecks.

AI ARCHITECTURE:Deployed a Next.js 15 digital flagship paired with an autonomous conversational AI patient coordinator that triages inquiries, automates calendar bookings, and handles multi-tier WhatsApp reminders with 1-tap reschedules.

THE CHALLENGE:High ad spend was yielding hundreds of unstructured buyer leads that went cold before broker follow-ups could be executed.

AI ARCHITECTURE:Architected an instant AI qualification & virtual property concierge that dispatches interactive floor plans, validates buyer financing range, and schedules guided broker tours within minutes of ad click.