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Real Estate Lead Qualification & Viewing Scheduler Agent

AI agent qualifies inbound leads, enriches CRM data, and books property viewings automatically.

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Real Estate8 WEEKSVERIFIED RESULTSCommercial brokerage

Real Estate Lead Qualification & Viewing Scheduler Agent

AI agent qualifies inbound leads, enriches CRM data, and books property viewings automatically.

Founder note: this is written to be practical. We focus on what we learned in delivery, what changed for the team, and what results held up after rollout.

INDUSTRYReal Estate
CLIENT TYPECommercial brokerage
TIMELINE8 weeks
DELIVERY SCOPELead qualification, viewing scheduler, CRM enrichment
domain

The Real Problem

1. Only 18% of web leads were sales-ready

2. Brokers manually chased incomplete inquiries

3. Viewing scheduling required back-and-forth emails

4. CRM data was inconsistently captured

build

What We Actually Changed

Implemented a conversational lead agent that scores intent, asks qualifying questions, syncs enriched profiles to CRM, and books viewings on broker calendars.

TOOLS AND METHODS USED

OpenAIHubSpotCalendly APINext.jsPostgreSQL
layers

Delivery Journey

PHASE 1

Qualification Logic

Scoring model, broker workflows

PHASE 2

Agent Build

Chat agent, CRM sync, scheduling

PHASE 3

Optimization

A/B tests, broker feedback loop

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What Improved

Brokers stopped chasing junk leads. The agent filters, enriches, and books — we close more deals with less admin.

+142%
Qualified Meetings
< 2 min
Response
Brokers met more sales-ready prospects
Instant engagement on every inquiry
Complete profiles on qualified leads
business_center

FOUNDER BRIEF

INDUSTRY
Real Estate
TIMELINE
8 weeks
CLIENT TYPE
Commercial brokerage
terminal

DELIVERY STACK

OpenAIHubSpotCalendly APINext.jsPostgreSQL

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