Weekly Real Estate News
Summary
SERHANT. unveiled S.MPLE 2.0, an agentic AI platform designed to identify and execute work across agents' calendars, email, CRM and transaction data rather than waiting for prompts. The rollout begins Oct. 5.
SERHANT. is moving its in-house artificial intelligence platform from an assistant that waits for instructions to one designed to decide what an agent should work on next.
The brokerage unveiled S.MPLE 2.0 Wednesday at the Blueprint conference in Las Vegas. The new version introduces an AI assistant called Dot that can work across an agent’s calendar, email, CRM and business data to identify tasks and begin executing them, according to company executives interviewed by Inman at the conference.
The distinction is more consequential than another chatbot added to a brokerage technology stack. SERHANT. is attempting to move AI from a tool an agent opens to a layer that continuously interprets the agent’s pipeline and initiates work.
From prompts to proactive work
Chief Technology Officer Greg Chan said S.MPLE 2.0 can take an objective, break it into multiple steps, coordinate specialized AI agents and return a completed result. The company says more than 70 specialized agents and tools sit behind the system, handling work that can include comparative market analyses, listing presentations, marketing campaigns, transaction coordination and client follow-up.
The platform uses a unified data layer containing proprietary transaction, financial and CRM information along with external industry data, according to the company. That access is what allows the system to recognize, for example, that a lead has gone untouched or that a listing may need additional attention without waiting for the agent to ask.
“Chatbots give you answers, but S.MPLE 2.0 gives you outcomes,” founder and CEO Ryan Serhant said in a company statement cited in the announcement.
That claim will ultimately depend on execution. Giving software broader access to communications, schedules and transaction data raises questions about data governance, accuracy and the degree of human review needed before an AI-generated action reaches a client. SERHANT. says compliance checks are integrated into the workflow and screen output against standards that include the Fair Housing Act, RESPA and antitrust law.
SERHANT. is putting the technology inside the brokerage model
The company began developing S.MPLE in 2023 and announced its first generation in early 2024. SERHANT. says the platform has since completed more than 54,000 requests for more than 2,000 active agents and saved nearly 28,000 hours of administrative work.
Those are company-reported operating figures, not independently audited measures of productivity. SERHANT. also says agents who joined the brokerage and adopted S.MPLE during the past 24 months increased gross commission income by an average of 144% year over year compared with their prior firm. Many factors besides software can affect an agent’s production after changing brokerages, so the figure should not be read as proof that S.MPLE caused the increase.
The brokerage’s strategy is nevertheless notable because the technology is being developed as proprietary infrastructure rather than purchased as another standalone agent application. SERHANT. has expanded that model alongside its brokerage, media and education businesses. The Blueprint conference program describes the company as operating in 15 states with more than 1,500 agents.
Rollout begins in October
S.MPLE 2.0 is scheduled to begin rolling out to SERHANT. agents on Oct. 5, with expansion across the brokerage’s markets during the fourth quarter. The company will also showcase the platform at its Sell It ’26 event in Denver; the conference program lists a dedicated S.MPLE 2.0 session.
For the broader brokerage industry, the test will be whether proactive agentic systems can do more than automate isolated tasks. CRM vendors and brokerages have spent years trying to solve a familiar problem: agents often possess plenty of technology but do not consistently use it.
SERHANT.’s bet is that the next generation of software will reverse that relationship. Instead of asking the agent to remember which tool to open, the system decides what needs attention and brings the work to the agent. If that model works reliably—and within fair-housing, privacy and brokerage supervision requirements—it could change what brokerages mean when they describe their technology as an agent productivity platform.
