Ryan Serhant, CEO and founder of SERHANT., built an AI platform two years ago that would complete a task the moment an agent asked. Starting next month, the platform starts assigning the tasks itself.
An agent’s calendar, email and CRM are already full of the things that matter — the lead gone quiet, the pre-approval that just came through, the listing that needs a push before it sits another week. The newest version of SERHANT.’s AI platform, unveiled by the founder and CEO during a session at Blueprint, the real estate and construction technology conference owned by Inman, reads everything for an agent and decides what needs attention before the agent needs to worry about it.
The announcement marked Serhant’s first appearance at Blueprint.
“I made sure this year we were going to be there,” Serhant told Inman, adding that he was excited to be on stage with Jeffrey Berman of Camber Creek, an investor in SERHANT., for the announcement.
Meet Dot
SERHANT. calls the new assistant Dot, an AI chief of staff built to act before the agent has to ask. It reads across the agent’s business and starts the work.
Serhant told Inman ahead of the announcement that the first version of S.MPLE asked agents to direct the AI. The second asks the AI to direct the agent.
“S.MPLE 1.0 asks, could we use AI to empower back office, where humans lead the AI?” Serhant said. “With S.MPLE 2.0, we asked: Can the AI lead the human? You get into a car with great technology; you’re still driving the car. You get into a Tesla today, and the car drives you.”
“In S.MPLE 1.0, you tell our AI what you want, and it’ll complete the task, and the product has been highly effective,” Greg Chan, chief technology officer of SERHANT., said in a statement. “In S.MPLE 2.0, our AI proactively figures out what you need and gets the job done for you. It can take one objective, break it into 20 steps, coordinate five specialized AI agents and return a completed result. The agent directs the outcome without having to operate every tool or supervise every step.”
Serhant described the same shift in terms of what agents walk away with.
“Chatbots give you answers, but S.MPLE 2.0 gives you outcomes,” Serhant said in a statement. “The last generation of real estate technology gave agents more software to operate. We built S.MPLE so agents can give it a goal and not have to think twice.”
Why now
Ryan Serhant (right) onstage at Blueprint 2026 | Credit: Nick Pipitone
The shift became possible only recently, according to Chan. A year ago, he told Inman, AI systems could handle a handful of instructions before needing to be redirected. That has changed.
“A year ago, AI could work on maybe three instructions before you had to guide it again,” Chan said. “Now the technology is good enough that it can go do tasks and work for hours on end, whether it’s 20 steps or 40 steps across different systems.”
How it works
Behind Dot, more than 70 specialized AI agents and tools handle the work itself, according to the company, executing tasks including comparative market analyses, listing presentations, marketing campaigns, transaction coordination and client follow-up from a single instruction.
Chan told Inman the system routes inference through an AI gateway to multiple frontier models with automatic failover, and pulls from a unified data layer that includes proprietary transaction records, financial information and CRM data alongside external industry data.
Serhant offered a specific example of how an agent might use it in the field.
“You’ll be able to stand with S.MPLE on a cul-de-sac and say, I have a client that really wants to buy a house here. What should I do?” Serhant told Inman. “S.MPLE can pull the property data, pull the closed data, use reasoning to determine which owners are good prospective sellers, then pull the contact information. Because S.MPLE is yours, it knows your annual goals and your current sales. It’ll say three of these homes could be good targets for your buyer — and if you sell two of them, you’ll reach your annual goals four and a half months early.”
The personalization behind that kind of answer came directly from agent feedback, Chan said.
“One of the biggest pieces of feedback we got from agents was wanting the AI to actually know them — their emails, their CRM, their schedule, their pipeline,” Chan told Inman. “It’ll know if you have a hot lead you haven’t followed up on in weeks and help draft a response.”
Compliance runs inside that process rather than as a separate check afterward, the company said, with output screened against regulatory standards that include the Fair Housing Act, the Real Estate Settlement Procedures Act and the Sherman Act.
Adoption numbers
Since launching in 2024, S.MPLE has completed more than 54,000 requests for over 2,000 active agents and maintained an 86 net promoter score, according to the company. SERHANT. said the platform has returned nearly 28,000 hours to agents that would otherwise have gone to administrative work.
Agents who joined SERHANT. and adopted S.MPLE over the past 24 months increased gross commission income by an average of 144 percent year over year compared with their prior firm, the company said, with some agents reporting growth above 500 percent.
Timeline
SERHANT. began building the first version of S.MPLE in 2023 and announced it in January 2024 at Inman Connect New York, with agent rollout starting late that year. Chan told Inman that development of the second version has taken about a year.
S.MPLE 2.0 begins rolling out to SERHANT. agents on Oct. 5, with availability expanding across the company’s markets through the fourth quarter. Agents get their first look at the product Friday at Sell It ’26 in Denver, SERHANT.’s annual conference.
“I’ve not seen true disruption in this industry until Greg and his team showed me what S.MPLE could do,” Serhant told Inman. “I had to go for a walk and come back and say, that is a real thing.”
