From 80% Unqualified Leads to a 3x Pipeline

This real-estate sales team was drowning in leads — 80% unqualified, reps spending more time on discovery calls than closings. The fix wasn't a better CRM; it was restructuring qualification around AI scoring that ran before a human ever picked up the phone.

We built a scoring model trained on two years of closed-won and closed-lost data: budget signals, timeline indicators, property-type fit, and engagement patterns. Leads scoring above a threshold went to senior reps with a pre-built context brief. Everything else went to nurture sequences.

Pipeline tripled in 90 days — not because lead volume increased, but because rep time shifted from filtering to closing. The AI didn't replace judgment; it front-loaded the research reps used to do manually.