AI voice agent for a real estate brokerage
A high-volume real-estate brokerage: 41,280 calls, −67% CPL. The AI answers inbound inquiries in seconds, reactivates your CRM database, qualifies buyers and sellers against your criteria, and hands agents only the hot leads. Integrates with Follow Up Boss, HubSpot, kvCORE and Salesforce.
4 leak points between the lead and the deal
In real estate a lead costs $8–17. If it never makes it to a showing, that spend is gone. The AI closes the gaps on response speed, aged-database reactivation, and qualification.
The lead goes cold within an hour
- in the evening, on a weekend, during peak hours
- the agent calls back the next day
- the lead already booked a showing with a competitor
The old database sits idle
- leads that never made it to a showing
- clients who toured but never bought
- "let me think," "buying in six months" — then silence
- people who passed on specific listings
Agents are buried in busywork
- "did you submit an inquiry?" calls
- first-pass questions about listings
- qualification (budget, area, financing)
- booking and rebooking showings
Weak first-pass qualification
- buyers out of budget range
- people who can't get financing
- "maybe in a year" browsers
- fake contacts
The AI works inside your CRM, like a member of the team
It follows your playbook and scripts, logs tasks in the CRM, and transcribes every conversation. No migrations, no retraining your team, no switching systems.
Inside your CRM
We connect to Follow Up Boss, kvCORE, HubSpot, Salesforce and any other system via API. No migrations, no moving your leads and listings.
On your scripts
Scripts are signed off with your sales lead. The AI asks the qualifying questions (budget, area, financing) and hands off to an agent for closing and booking the showing.
Transcripts and tasks
Every call is transcribed, the key moments are highlighted, and hot leads are handed to an agent with a ready brief and a showing time.
A high-volume brokerage
41,280 calls and +690% buying interest
at a 67% lower cost per lead
A real project with a resort-real-estate brokerage. The AI sales agent worked 3.4× more contacts, surfaced 7.9× more buying interest, and cut cost per lead from $8 to $2.50. The team shrank from 12 people to 3.
How the brokerage got 7.9× more interest from the same database
| Metric | Before · 12 reps | After · AI sales agent + 3 agents | What it means |
|---|---|---|---|
| Call volume | 12,018 | 41,280 +243% ↑ | 3.4× more contacts dialed with no extra headcount |
| Conversations | 2,617 | 17,370 +564% ↑ | More first-touch contacts = more shots at a deal |
| Buying interest surfaced | 137 | 1,083 +690% ↑ | 7.9× more qualified leads from the same database |
| Conversion to interest | 5.24% | 6.2% +0.96% ↑ | A systematic script holds conversion above a human's |
| Cost per interest | $8 | $2.50 −67% ↓ | Same budget — a qualified lead 3.2× cheaper |
| Team size | 12 reps | 3 agents −75% ↓ | 9 fewer seats = a major cut in payroll |
High-volume calling
41,280 calls a month — a volume a team of human callers simply can't reach.
Reactivating the old database
210 leads pulled back into the active funnel — people who'd looked at listings but never closed.
Systematic qualification
The AI asks the scripted qualifying questions: budget, area, financing. Only the right-fit buyers get a showing.
Freeing up the agents
Routine calling goes to the AI. Agents focus on hot leads and closing deals — not "did you submit an inquiry?"
Take the human factor out of your calls
100% of leads get called
Every inquiry and the entire old CRM database goes to work. No "didn't get to it in time," no "forgot to follow up."
No sick days, no weekends off
24/7, no mood swings. At 9:30 on a Saturday night it calls back exactly the way it does at 11 on a Wednesday morning.
No extra agents to hire
The AI handles high-volume calling and qualification. Agents work only the hot leads — showings and deals.
Simple onboarding in 4 steps
From the first call to fully automated lead flow — with no extra hires and no switching your system of record.
Define the goal
With your sales lead we map the script: which leads the AI takes, the qualification criteria (budget, area, financing), and when to hand off to an agent.
Connect the sources
Integration with Google Ads, Zillow, Realtor.com, Follow Up Boss, HubSpot, and Twilio telephony. No migrations, no switching systems.
Run the pilot
We test on one lead source or one service line, review the conversations, tune the script, and run the numbers.
Scale
Once it's validated, we connect every source plus old-database reactivation campaigns. A stable 24/7 calling operation.
What brokerages usually ask
On most calls, no. The AI holds a conversation at the level of an experienced agent: it asks the right qualifying questions and talks listings and financing. If you want to disclose it's an AI up front, we can — it doesn't hurt conversion.
The AI closes for the showing — that's its job. A human agent closes the deal in person after the showing. The AI works the top and middle of the funnel: qualification, booking showings, database reactivation.
Yes. Integration via webhooks with Zillow, Realtor.com, Follow Up Boss, HubSpot, kvCORE and other real-estate CRMs. Leads drop into the AI's call queue automatically.
2–3 weeks for one segment (new construction / resale / commercial). Several segments plus markets — 4–6 weeks: time for script sign-off and integrations.
On the diagnostics call we run the numbers on your own data: lead volume, current cost per lead, conversion to showing and to deal. In our experience, payback lands within 1 month at a flow of 1,000+ leads/mo.
A basic deployment starts at $1,500. Full projects with high-volume calling (like the brokerage case above) run up to $22,000. We give you an exact number on the free diagnostics call.
Similar projects in other industries
We'll show you how an AI sales agent fits your brokerage specifically
30 minutes on Zoom. We run the payback and potential upside on your own numbers and give you a step-by-step plan to cut cost per lead and reactivate your database.