CASE 06 · B2C · Construction
A construction company: $250K in one month from 2 AI agents
2 linked AI agents: one reactivates the CRM over WhatsApp, the other runs an outbound calling campaign. Your reps only work the close.
$250K
revenue/mo
12,500
contacts worked
500
qualified leads
5 homes
sold in the month
01 — Situation
8 sales reps and two backlogs of unworked leads
A residential homebuilder was building and selling single-family homes and townhomes. On hand were two sources of prospective buyers:
1
An aged CRM database — 8,000 warm leads from prior years: people who had shown buying interest but never closed.
2
A cold list — 4,500 contacts of prospective buyers, sourced for the new development.
8 reps simply couldn't work that volume. The goal: scale sales without hiring, on a fixed payroll.
02 — Solution
2 AI agents working in parallel
Agent 1 · WhatsApp
CRM reactivation
Works the aged database of 8,000. First touch over the messenger, qualifies interest on 3 criteria (budget, timeline, home type), and scores each lead by how hot it is.
Agent 2 · Voice
Outbound calling
Works the cold list of 4,500. Introduces the development, asks 3 qualifying questions, and hands hot leads to the CRM with the full context of the call.
Both agents push hot leads into the CRM (HubSpot, GoHighLevel, JobNimbus) with tags and a call summary. The rep gets the full context and only works the close.
Lead list
→
AI agent
→
Qualification
→
CRM (hot lead)
→
Rep closes
03 — Results
12,500 contacts in 4 weeks, 5 homes sold
12,500
contacts worked in 4 weeks by the two agents in parallel
500 leads
qualified opportunities handed to the reps
5 homes
sold for $250K in the first month
$0 new payroll
scaled without hiring a single new rep
04 — FAQ
How it works in practice
Don't AI cold calls annoy people in real estate?
The difference is the quality of the script and the personalization. The voice agent opens with a specific reason for the call (interest in buying a home in a specific area), asks 3 open questions, listens, and responds to the answers. Conversion to a qualified lead from the cold list ran 3.5–4% — on par with a call center staffed by live agents.
Why WhatsApp for the CRM database instead of calls?
A warm CRM list already knows the builder, but time has passed. A messenger is a softer first touch: people read on their own schedule and reply if they're interested. Reply rate over WhatsApp on the warm database ran 18–22%, 3–4× higher than a cold call.
How much does it cost and how fast does it pay back?
Cost depends on the size of the database and the number of integrations. On this project the investment paid back in 3 weeks — by the end of the first month, two closed sales covered the full build plus the first month of running the system.
Scale sales without growing headcount
We'll review your lead database and map the automation upside on a free diagnostics call.