Tyler Morton runs REMAX Victory + Affiliates, just under 200 agents across Ohio, Kentucky, and Indiana. When we talked at the RISMedia CEO & Leadership Exchange, he described an AI strategy I have not heard from any other broker in America. He did not buy an AI platform. He built one.
He built ToryOS, an operating system for brokerages that more than 50 brokerages nationwide now use, including independents outside the REMAX network. Victoria is the AI that lives inside it. She started as an assistant for his own office, and she is still the AI his agents talk to. This is the story of how it happened, and what it tells the rest of the industry about sovereign AI.
The problem he was actually trying to solve
Morton’s AI journey started the way most do: two months of staring at a blank wall with a friend from the tech world after ChatGPT launched, asking what this changes. His first answer was personal. Agents called, texted, emailed, and sent him messages on every channel at 10 o’clock at night asking questions like “what’s the Wi-Fi password at the office?” So he built Victoria, an AI chatbot trained on office information, standards of practice, training manuals, BoldTrail FAQs, and Ohio license law. This is a common RAG solution – Retrieval Augmented Generation.
It worked. Almost nobody used it. Maybe 3 of his 200 agents touched it regularly, because agents kept communicating the way they wanted to communicate. The lesson was brutal and useful: a great answer in the wrong place is the same as no answer at all.
Rebuild around where the agents already are
Morton went back to the drawing board and mapped his entire tech stack. It was, in his words, very disjointed: an intranet site that was really just a list of links called the Victory Toolbox, conference room booking software, a Dropbox full of logos, JotForm for onboarding, Asana for checklists, a separate survey tool for agent recruiting feedback, and Facebook Workplace for communication, which Facebook then shut down.
He started with the communication platform, the one place agents were already accustomed to going, and rebuilt it. Within about a week he had a working version. Then he trained everything else into the AI model: the toolbox, the logos, the links. Now agents ask Victoria anything inside the platform.
The payoff is the best number in the story: over 90% agent adoption. Glenna and Sandy, two agents in their 70s who never adopted anything the company rolled out before, jumped right on it.
What ToryOS actually does
As Victoria grew from an AI that answered questions to an AI that does work, she needed a platform to live in. That platform is ToryOS. The feature list of abilities reads like a brokerage wish list:
Onboarding and offboarding automation. A form submission automatically creates the user with profile photo, assigns tasks, and configures permissions. Offboarding removes them from the system entirely. The duplication that used to require manual entry across systems is gone. Because Victoria knows each agent, it assigns the right permissions, like local forms to that agent.
Voice to contract. An agent says “write an offer for 123 Main Street.” The system walks through a series of questions and fills in the state-approved form through the dotloop API. It never drafts or changes contract language; it completes the official form and nothing else. In Ohio they run dotloop; in Kentucky they run Skyslope and Transaction Desk.
AI-generated marketing. When the marketing director posts a single Canva template, agents do not download and edit it themselves. The AI generates customized graphics with the agent’s headshot and contact information already in place.
Agent intelligence over text. Victoria has her own phone number. Morton screenshots an agent’s anniversary post, texts it to Victoria, and she reminds him next August to say happy 20th anniversary. Birthdays come from onboarding documents. The anniversaries, the dog that died this week, the things that set a broker apart, get remembered by AI instead of lost in a Rolodex.
A consumer-facing client hub. There is no login. Clients get access to ask questions about their transaction and see their checklist. When one client complained about too many notifications, the team treated it as a feature request and added notification controls.
Training ingestion. Live-streamed trainings are now automatically ingested, so an agent can ask what Tuesday’s training covered. The system also cuts shorts and reels from trainings for recruiting.
Sovereign AI: why he owns it instead of renting it
This is the part of Morton’s story that matters most for brokers and MLSs. He calls it a sovereign approach, and the compliance architecture is the proof.
Victoria will never answer a legal question or write contract language. That is a hard rule. When an agent asks one, the system notifies Morton, drafts a suggested response tailored to the state and the situation, and lets him decide. The AI prepares. The human decides.
Graphics generation has built-in filters for fair housing and state license law: every ad carries the required housing logo, the brokerage logo is more prominent than the agent’s name per Ohio law, and the system guards against ads that could violate fair housing based on who appears in them.
He has not published an official AI policy, and his reasoning is honest: anything he wrote last week would already be outdated. Instead he educates constantly, including hands-on workshops where agents walk through every scenario.
This is the HIM and HER model in production: Human in the Middle for anything consequential, Human Expert Review as a designed step. The AI sets everything up. It never acts alone.
The economics are the surprise
Token costs run about a dollar fifty per agent per month. Morton confirmed the reason: every task gets routed to the lowest-cost model that can do the job instead of a premium model that would be overqualified. Think of it as matching the right question to the right model.
His biggest cost right now is SMS. The AI replaced licensed software across the stack, and the new cost center is measured in cents, not seats. With ToryOS, the firm has been able to cancel a lot of point solutions that were site licensed across the company.
The lesson for every broker
Morton started as a hobbyist. Thousands of hours later, he still gets joy out of tinkering, and he believes every brokerage needs someone who wakes up excited to streamline the operation. But the deeper lesson is organizational. After a panel at HousingWire’s AI summit, he sat down with his own staff and asked where their pain points were. Every department head now contributes to the knowledge base. The staff got a Claude company account and started automating data extraction from the MLS on their own.
His advice to brokers starting this journey: find your tinkerer, sit with your staff, and start with the pain points instead of the technology.
One honest limitation
Morton has seen Inside Real Estate’s Streams live and loves the concept, but he cannot use it. His REMAX to BoldTrail delegation structure spans multiple states, and there is no solution for that yet. Multi-state, multi-MLS brokerages still face integration problems that no single vendor has solved. His six MLSs get their documents mapped manually, because the automated mapping was wrong and using an outdated contract is practicing law.
That is the frontier. Morton built the operating system. The industry still has to build the plumbing underneath it.
About Tyler Morton
Tyler Morton is the Broker/Owner of REMAX Victory + Affiliates and Founder of ToryOS, an AI operating system built for real estate brokerages and agents. In real estate since 2004, Tyler leads a brokerage of just under 200 agents with offices across Ohio, Kentucky, and Indiana, working across six MLSs. He tests new tools inside his own brokerage before sharing them with others. ToryOS was piloted with REMAX Trailblazers and Teams Innovations and is now used by more than 50 brokerages, including independents. A recognized speaker on AI and real estate technology, Tyler helps agents and brokers cut through the noise and use AI to improve productivity, strengthen relationships, and drive better outcomes. He also chairs a forms committee.
