Have an AI voice agent take a real estate team's inbound buyer calls, qualify them and hand off when it isn't sure
Lauren Lucas, co-owner of LKW Home Team (Keller Williams) in Columbus, Ohio, in a Keller Williams-sponsored article on Real Estate News
A voice AI agent answers inbound buyer calls and, in under two minutes, collects name, phone, email, ideal neighborhood, price range, where they are in the search and whether they're pre-approved. It offers to send listings and connect them with a lender. It's trained on the team's SOPs, school and safety ratings, compliance rules and market updates, and transfers to a human whenever it's less than 95% confident. Web-form leads become tagged CRM contacts with a voice-note booking prompt; open-house sign-ins use a QR form that triggers follow-up with consent. Separately, ChatGPT drafts and posts social content from topics kept in a Google Sheet.
From $0 (checked prices)
Medium · or we do it from $149/mo
ChatGPT, Voice AI agent (not named), CRM (not named)
The problem
Agents were chained to their phones. The team shrank from seven agents to three, but buyer calls, scheduling and follow-up still had to happen fast.
What happened
As reported (Keller Williams article on Real Estate News): the agent has answered 900+ inbound calls and taken 400+ next-step actions; the owners say automation frees 10–20 hours a week, and the three-agent team grew GCI 35.8% going into 2024. The voice platform isn't named.
Quoted in the source: Lauren Lucas, co-owner, LKW Home Team. Source: Real Estate News (Keller Williams sponsored): Keller Williams-affiliated agents share top AI plays (2026-03-09) · Added 2026-10-14. Results as reported by the source; we haven't independently verified them.
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How to set it up yourself
- What they did: wrote down the exact questions a good agent asks a new buyer caller and had the voice agent ask them in under two minutes.
- Give it a knowledge file: your SOPs, the neighborhoods you serve, school and safety info you're allowed to share, compliance rules, and current market notes.
- Set a hand-off rule: transfer to a person whenever it isn't sure (they use a 95% confidence bar) and for anything a licensed agent must answer.
- Push every call summary into your CRM as a tagged contact with the next step.
- Add a QR sign-in form at open houses that captures consent and triggers the follow-up automatically.
- Review call transcripts weekly and add answers for anything it handed off more than twice.
- DIY adaptation (not what LKW used): start with after-hours and missed calls only, using a phone AI tool you can test (e.g. Synthflow or Smith.ai), with the qualification script below.
Copy-paste prompt
You answer calls for [Team], a real estate team in [City]. You are an AI assistant and say so if asked. For buyer callers, collect in this order: name, mobile, email, neighborhoods they want, price range, timeline, and whether they are pre-approved. Offer to text matching listings and to connect them with a lender. Only share facts from the attached notes (schools, neighborhoods, market updates). Never give opinions on price, offers, contracts or legal questions: say a licensed agent will call them back. If you are not sure of an answer, transfer the call to [on-call number] or take a message. End by confirming the next step and when an agent will reach out.
Tools used
ChatGPT
General AI assistant for writing, research, brainstorming and analysis.
From Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo (checked 2026-10-14)
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Checked prices: ChatGPT: from Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo (verified 2026-10-14)
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