Case study
An AI agent for real estate: how Keshet Property separates browsers from buyers
The Keshet Property case, prefabricated buildings: an AI agent screens leads by budget and need, books tours into the calendar and runs reminders. Fewer meetings that evaporate, a calendar full of buyers.
AI agent for Real estateAn AI agent for real estate: how Keshet Property separates browsers from buyers
In real estate the problem isn't a shortage of inquiries. It's the difference between browsers and buyers. Keshet Property sells prefabricated buildings and housing units in high-value deals, to an audience that deliberates, compares and double-checks, and a process that lives or dies on meetings happening on time.
Keshet Property's agent stands at the gate. It answers immediately at any hour, in the evening and as soon as Shabbat ends, when people are actually searching, and screens by budget, intended use, land and timelines, before the calendar ever opens. Only ripe leads get a tour or a meeting booked straight into the calendar. Then it runs a smart reminder sequence: attendance confirmations, tiered reminders and automatic rescheduling, so tours stop evaporating.
The result: a calendar full of buyers, not browsers. At deal sizes like these the close itself is human, and the agent makes sure it arrives screened, scheduled and ready. That is exactly the model of the managed system: 80-90% of deals reach a rep ready to close, and 10-20% close autonomously where it fits. Where exactly leads leak, we covered in lead leakage.
"Excellent service, a great team, they helped me a lot. Almost a year with them now" - Ron Mandil, Google review
"An AI secretary that books all the relevant leads into meetings for me simply changes the rules of the game in our field." - Ron Mandil, Keshet Property
If your calendar is full but the meetings don't happen.