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Have an AI voice agent take a real estate team's inbound buyer calls, qualify them and hand off when it isn't sure

who Lauren Lucas, co-owner of LKW Home Team (Keller Williams) in Columbus, Ohio, in a Keller Williams-sponsored article on Real Estate News

What it does

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.

Tool cost

From $0 (checked prices)

Setup

Medium · or we do it from $149/mo

Tools

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

  1. 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.
  2. 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.
  3. 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.
  4. Push every call summary into your CRM as a tagged contact with the next step.
  5. Add a QR sign-in form at open houses that captures consent and triggers the follow-up automatically.
  6. Review call transcripts weekly and add answers for anything it handed off more than twice.
  7. 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)

Rather not do it yourself?

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