AI IMPLEMENTATION
Vanguard Realty Architecture
CLOSE CASE STUDY
THE CHALLENGE
"Vanguard's high-performance agents were spending 40% of their day manually qualifying leads and cross-referencing property listings across four different spreadsheets. This friction led to a 15% drop in response time and lost opportunities in a high-stakes market."
THE PALADIN APPROACH
We architected a 'Central Nervous System' in Airtable, connected by a series of intelligent Make scenarios. We implemented a custom GPT agent that analyzes incoming lead inquiries, scores them based on intent, and automatically matches them with available listings using vector embeddings.
KEY OUTCOMES
Average lead response time dropped from 4 hours to 2 minutes
32% increase in property showings in the first quarter
Average lead response time dropped from 4 hours to 2 minutes
Unified data ecosystem replacing 12 disparate spreadsheets