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Case study · Real estate

How a regional brokerage turns listing questions into eligible showings while negotiations remain agent-led.

This multi-agent brokerage serves several metro markets, but no individual agent can respond first at every hour. Kingstone built an AI agent that uses active listing data to answer on chat and SMS, book eligible showings, and hand negotiations to an agent.

Real estateRegional real estate brokerageName withheld by request
Client
Anonymous, name withheld by request
Location
Regional, multiple metro markets
Industry
Real estate
Channels
Web chat + SMS

From the client

“Leads don't wait for business hours, and now neither do we. The assistant books eligible showings before an agent needs to step in.”
Director of OperationsMulti-agent real estate brokerage

The challenge

Before launch, inbound listing questions could sit for hours when no agent was immediately available. With dozens of agents working across several markets, the brokerage needed one reliable first-response workflow that could identify the right listing, answer routine listing questions, and schedule an eligible showing without waiting for an individual agent to notice the lead.

The solution

Kingstone deployed one entry workflow across web chat and SMS. It uses the brokerage's active listing data, including square footage, HOA fees, and showing availability, before it applies the brokerage's showing-eligibility rules and makes a calendar action. When a conversation involves an offer, counteroffer, contingency, or request for advice, it routes the lead to the listing agent. The AI does not negotiate or advise on an offer.

Documented deployment workflow

From a listing-specific question to a showing or agent-owned negotiation

This is a listing-data and eligibility workflow: prospects get answers and can book an eligible showing, while commercial judgment stays with the listing team.

01Identify the listing and intent

The chat or SMS conversation may concern a specific active listing or general availability.

02Answer from active listing data

The agent uses listing details such as square footage, HOA fees, and showing availability.

03Apply showing rules and calendar availability

When the requested slot and eligibility rules allow, the showing is added to the calendar.

04Negotiation goes to the agent

Offers, counters, contingencies, and advice requests are routed to the listing agent.

The workflow creates a showing only after the listing, requested slot, and the brokerage's eligibility rules have been checked.

The results

In the first 90 days of live deployment, the outcome described by the operations director was measurable: eligible prospects could have a showing on the calendar before an agent needed to enter the conversation. Booking share counts only leads that met the brokerage's showing eligibility rules.

Hours → <1 min
First response on chat and SMS

Down from a multi-hour internal baseline before launch.

40%
Eligible leads book a showing with no agent involved

Showings land on the calendar while agents are still with clients or offline.

Deals stay human
Offers, counters, and contingencies never handled by AI

The moment negotiation starts, the listing agent owns the conversation.

Showing already on the calendarBy the time an agent sees the notification, an eligible showing can already be booked.
Chat and SMS, same workflowInbound leads split evenly between web chat and text, depending on how they found the listing.
Listing facts in-flowTwo in three conversations concern a specific active listing: square footage, HOA fees, and showing windows answered from live listing data.

This case study describes a real Kingstone client deployment. The client's name and identifying details have been withheld at its request. Figures shown are from this client's deployment.

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