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Sales, Real Estate · AI Agent, Automation, API
An interconnected package of eight n8n workflows that automates real-estate lead generation, AI calling, client onboarding, property matching, scheduling, outreach, and market intelligence.
Real-estate agents were handling lead research, calls, client intake, property recommendations, appointment scheduling, follow-up, and market research through separate tools and manual processes. New leads could wait too long for a response, call notes were not consistently added to the CRM, buyer requirements were scattered across messages, and agents spent significant time searching for suitable properties and preparing repetitive outreach. Because every activity was disconnected, opportunities could be missed and the client experience depended heavily on manual follow-up.
I designed and developed RealtyFlow 360 as a modular package of eight interconnected n8n workflows. The system collects leads from approved sources, enriches and scores them, and routes qualified prospects into personalized voice, email, or WhatsApp communication. Incoming and outbound calls are transcribed and summarized, while requirements, objections, next steps, and follow-up dates are synchronized with the CRM. A structured onboarding workflow collects property type, preferred locations, budget, financing status, timeline, and essential features. The property-matching workflow compares this profile with available listings and prepares ranked recommendations with clear reasons for each match. Interested clients can schedule viewings automatically, and every appointment, reminder, response, and status update is kept synchronized. Separate market-outreach and insight workflows create segmented campaigns, monitor relevant market information, and provide agents with useful talking points and competitive context. Shared error handling, approval rules, duplicate prevention, consent controls, and audit logs make the automations suitable for dependable day-to-day use.