『Your Next Real Estate Assistant Isn’t Human with Nathan Graham』のカバーアート

Your Next Real Estate Assistant Isn’t Human with Nathan Graham

Your Next Real Estate Assistant Isn’t Human with Nathan Graham

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Prefer to watch? Hello everyone! We took a bit of a break from the podcast while we moved to LPT, & I’m now licensed to sell real estate in FLORIDA. (Anyone looking for a winter home? Come on down. The water is warm, and the weather is perfect!)But we are back, and it’s time to chat with one of my favorite techno geniuses. Nathan Graham from Synthetic Echo Hub!I spend a lot of time talking about artificial intelligence, so when I sat down with Nathan Graham, I wasn’t looking for another conversation about whether AI is going to change real estate.That part is already settled.The interesting question is how.Where does AI actually create leverage? What happens when you stop treating it as a chatbot and start treating it as an operating system for a business? And what does that mean for agents, brokerages, compliance, training, marketing—and eventually the way we interact with our own CRMs?Nathan has been thinking deeply about those questions.And he has built some fascinating answers.One of the first things Nathan said during our conversation was something I immediately wanted to write down:“We are entering what I’m calling the era of dreamers.”I love that framing because it gets beyond the usual conversation about AI replacing people.This is about what happens when capable people suddenly have access to capabilities that used to require an entire team.From AI tool to AI teammateOne of the things I find most interesting about Nathan’s approach is that he isn’t building AI as a single-purpose tool.He’s building an ecosystem around the way real estate actually works.At the centre of it are two AI assistants: Mia and Naomi.Mia is focused on the brokerage, while Naomi works more directly with the individual agent.Nathan describes Mia as his “real estate AI companion, CEO, chief of staff, chief of everything.”What matters to me isn’t the clever name or the personality attached to the AI.It’s the architecture underneath it.Mia can learn how a particular brokerage operates, understand its systems and customize workflows around that organization. So rather than forcing every brokerage into exactly the same process, the AI can adapt to the way that brokerage actually does business.That distinction is important.We’ve spent years buying software and then changing the way we work to accommodate the software.The next generation of AI can work the other way around.The system learns the business.Naomi is the agent’s sidekickThen there’s Naomi.Naomi is the real estate coach and assistant built into the system for agents.Think onboarding. Training. CMAs. Branding. Paperwork. Transactions. Marketing. Client follow-up.And because she is connected to the brokerage’s systems and approved processes, the goal isn’t simply to give an agent generic advice from the internet.She’s operating inside the agent’s actual business environment.Nathan gave me an example of a brand-new agent who needs to prepare a CMA.Instead of panicking—or waiting until someone at the brokerage has time to walk them through it—the agent can ask Naomi.She can build the CMA, pull in photos and market data, suggest pricing information and then help the agent move into the next step.The same principle applies to branding, listings and paperwork.This is where AI gets genuinely interesting for me.We’re moving away from “Ask AI a question.”We’re moving toward:“Tell my AI what I’m trying to accomplish.”And let it help execute the work.The paperwork problemOf course, we had to talk about paperwork.Because if there’s one thing virtually every real estate professional can agree on, it’s that there is an enormous amount of it.Nathan actually gave me a great real-world example.He admitted paperwork isn’t his favourite thing. He realized he had a closing coming up and hadn’t uploaded the necessary documents into SkySlope.So he asked Naomi to handle it.She went into his email, found the paperwork, downloaded the documents, uploaded them and created the file.There were a couple of small mistakes, which Nathan corrected.And that last part is important.Human oversight doesn’t disappear.It becomes more strategic.The AI can do the repetitive work. The human still reviews and approves the result.That’s a model I think we’re going to see everywhere.The goal isn’t necessarily to eliminate the person doing the job.It’s to eliminate the hours of repetitive work that prevent that person from doing the higher-value parts of the job.AI can become a compliance partnerThis is where I think Nathan’s work gets particularly interesting for brokerages.AI can be trained around the specific issues a brokerage encounters.If a property is on well and septic, for example, the system can flag that and recommend the brokerage’s approved language.The same could apply to rural-property considerations, oil furnaces, propane tanks and other details that experienced agents know to look for—but that can easily be ...
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