Real estate customers now do much of the work that once justified the old brokerage model. They find the house, research neighborhoods, compare mortgage options, write stronger listing copy, and still often pay commissions built around assumptions from another era. Sheldon Wolf sees the tension clearly: the customer has moved forward, but too much of the transaction is still organized around agents, brokerages, and habits that have not kept pace.
In this episode, Craig Andrews talks with Sheldon about why he built Intellitary from the customer backward. Instead of starting with agent recruiting or brokerage acquisition, Intellitary starts with the buyer or seller who is already informed, already moving, and often frustrated by the amount of equity being surrendered to a process that may not feel proportional to the value received.
Sheldon explains how Chloe AI is designed to screen, match, and dispatch customers to the right professionals based on need, location, property type, readiness, and service quality. The goal is not to erase the best people in real estate. It is to remove the weak links: the unanswered calls, poor follow-up, commission assumptions, and inconsistent service that make customers wonder whether the system is working for them at all.
The larger question is what happens when AI makes the experience more consistent, more responsive, and in some ways more human. Sheldon argues that customers may come to prefer AI for the first layer of the process because it gives clear answers, asks the right questions, and moves the transaction forward without friction. The human element still matters, but its role changes: less gatekeeper, more trusted professional where judgment and execution actually count.
Want to learn more about Sheldon Wolf's work? Check out their website at http://www.intellitary.com.
Connect with Sheldon Wolf on LinkedIn at https://www.linkedin.com/in/sheldon-wolf-95011520/.
Think you'd be a great guest on the show? Apply at https://podcast.allies4me.com/podcast-guest/.
Want to learn more about Craig Andrews' work at allies4me? Check out his website at https://allies4me.com/.
You can also reach Sheldon directly at sheldon@intellitary.com.
Key Points with Timestamps
- [00:05:20] Craig questions whether realtors still create enough value when buyers and sellers do much of the work themselves.
- [00:06:42] Sheldon calls the current market “the Flintstones meets the Jetsons,” with legacy brokerages chasing agent count while customers have already changed.
- [00:08:42] Sheldon explains why Intellitary was built as a customer-centric unbrokerage focused on the buyer and seller first.
- [00:14:40] Sheldon describes the cost of poor service and why low-effort agents damage the customer experience.
- [00:17:23] Sheldon explains Chloe AI and the screen-match-dispatch model for real estate consumers.
- [00:19:49] Craig and Sheldon break down commission negotiation and why “industry standard” fees are not fixed.
- [00:23:29] Craig asks where the human element belongs when AI becomes more capable.
- [00:24:43] Sheldon argues customers may prefer AI for the first layer because it gives clear, consistent answers while humans still handle high-judgment execution.
Transcript
[00:00:00] I was in a coma for six weeks while the doctors told my wife I was going to die.
[00:00:11] When I woke up, she told me the most fantastic story.
[00:00:15] My team kept running the business without me.
[00:00:19] Freelancers reached out to my team and said we will do whatever it takes as long as Craig's
[00:00:24] in the hospital.
[00:00:26] I consider that the greatest accomplishment in my career.
[00:00:30] My name is Craig Andrews and this is the Leaders and Legacy podcast where we talk to leaders
[00:00:36] creating an impact beyond themselves.
[00:00:39] At the end of today's interview, I'll tell you how you can be the next leader featured
[00:00:44] on this show.
[00:00:51] Today I want to welcome Sheldon Wolff, he is the founder and CEO of Intellitary.
[00:00:58] They are the world's first AI-powered, unburgraged, built to redefine how residential real estate
[00:01:04] transactions are originated, qualified, matched and distributed.
[00:01:11] One of the things that fascinated me about this was I feel like real estate is one of
[00:01:15] those areas that's living in a different time, definitely in a different century.
[00:01:21] And Sheldon, for more than 35 years, has built, acquired, invested in scale businesses across
[00:01:26] real estate, lending, FinTech, consumer finance and technology and so we're going to get into
[00:01:32] it.
[00:01:33] I'm looking forward to it.
[00:01:34] Sheldon, welcome.
[00:01:35] Thank you.
[00:01:36] Thanks for having me.
[00:01:37] Yeah.
[00:01:38] So, first off, you're up in Canada?
[00:01:42] Actually, I'm personally right here now in Canada, Intellitary is off in the US and that's
[00:01:50] its home.
[00:01:51] I just happen to be here because this is where my family is, but all my business is on that
[00:01:56] side of the border.
[00:01:57] Did you grow up in Calgary?
[00:02:00] I actually grew up in Calgary.
[00:02:02] I've been here for, oh geez, years, decades and I've built a pretty good life here along
[00:02:07] my assets and real estate and holdings and investments and whatnot.
[00:02:11] They're here and like I said, in this day and age, everything is all digital and floating
[00:02:19] around the clouds, so what was it like growing up in Calgary?
[00:02:25] Well, it's funny.
[00:02:27] We're kind of like Canada's version of Colorado being in Denver, for example, you've got the
[00:02:34] mountains so I can be skiing and snowboarding in an hour, I can call you with my phone in
[00:02:39] my hand on a ski slope, right?
[00:02:41] And it's just beautiful country out there, but very, very similar to, that's the closest
[00:02:47] example would be being in Colorado compared to Alberta.
[00:02:52] Okay, wow.
[00:02:54] And you mentioned that Intellitaries based in the US.
[00:02:59] Yeah.
[00:03:00] Where's that?
[00:03:01] Where in the US?
[00:03:02] It's based on Delaware, it runs right across, it's nationwide.
[00:03:07] It's there because when you compare 35 million people in Canada to 350 million people in the
[00:03:16] US, it's simply a volume thing.
[00:03:19] At the end of the day, the machine runs exactly the same.
[00:03:23] Customer buying a property regardless of where they are.
[00:03:26] The mechanisms are all almost identical, no matter where someone is, whether someone buys
[00:03:31] their sales, there's really only minor differences, so you go where the population's heavier.
[00:03:36] Yeah.
[00:03:37] Now, I always look at a flattened out map, so I don't have a good perspective for how big
[00:03:43] Canada is, but is it about the size of the US?
[00:03:46] Is it bigger?
[00:03:47] Is it a little bit smaller?
[00:03:49] If you look at the map, they look very identical.
[00:03:52] The only difference is you're dealing with literally a tenth of the population.
[00:03:56] So it's a little bit more spread out.
[00:03:58] You're going to see a lot more wheat fields.
[00:04:00] You're going to see a lot more, a lot more cows when you drive across the country versus
[00:04:05] going from a city, next thing you know, you're in another city, and then you're in another
[00:04:10] city.
[00:04:11] You just don't have the population here, so I guess it's kind of like, do you want to
[00:04:16] sell out a concert with 10% of the people or 100% of the people?
[00:04:22] So it's always a matter of going to bigger populations and making things work on higher
[00:04:27] levels.
[00:04:28] Yeah.
[00:04:29] No, it's fascinating because it's a massive, massive country, but like you said, it's got
[00:04:35] the population of roughly California.
[00:04:37] Yeah.
[00:04:38] Literally, and you know, it's what I say.
[00:04:42] I mean, in a day where I see so much division, which we have at two, but it's to use the
[00:04:47] word quieter is probably.
[00:04:50] I think when you have less people, you have more quiet.
[00:04:53] When you have more people and heavy population, and you just got that many more opinions,
[00:04:59] and not to turn this into a political conversation, but I think there's too many people with too
[00:05:03] many opinions right now doing their own thing, their own agenda.
[00:05:07] I think you do have that in Canada, but you hear less of it because there's a less population.
[00:05:13] So that's one of the advantages of the lower population, but we have our problems.
[00:05:20] You know, I just back in November, I, you know, I bought a house.
[00:05:28] And it's first time I've done that in 22 years, but the thing that struck me is I see
[00:05:36] less and less value that the realtors are bringing to the table.
[00:05:40] And you know, I feel like, you know, at least for me, the realtors have gotten to the point
[00:05:45] where they're, they're there primarily for the transactional purpose.
[00:05:51] The, I ended up finding the, you know, the house that we got, you know, it used to be
[00:05:57] that the realtors would help me find, you know, they would interview me.
[00:06:01] They, not that they did it well, but they would interview me, figure out what I was looking
[00:06:04] for in a house, and they would help me go find what I couldn't find on my own.
[00:06:09] And that's completely flipped, you know, in, in today's age of, I found, I found the house,
[00:06:17] not only the house that we ended up buying, but the other house that we put an offer on
[00:06:21] that was rejected.
[00:06:24] And so I'm looking at the industry, I'm like, you guys, and I sold a house.
[00:06:28] Yeah.
[00:06:29] And I ended up doing a lot of the work to help sell it, and I'm starting to wonder what
[00:06:36] the value of realtors are, and I just feel like they're stuck in a different time.
[00:06:41] Yeah.
[00:06:42] I call it the Flintstones meets the Jetsons era.
[00:06:47] You see a lot of these old school legacy brokerages, and they're still around, and it wouldn't
[00:06:52] surprise me if they still have fax machines and, and they're just not very good at changing.
[00:06:57] They're not good at going with the times, and then you have this other world of these
[00:07:01] new cloud based brokerages, and they're busy acquisitioning all of these legacy brokerages.
[00:07:09] They're buying as many old school brokerages, and the reason they're doing that is because
[00:07:12] they want a higher body count of agents.
[00:07:15] Their view is the more agents you have, the more transactions you're going to get.
[00:07:20] It's partially right, but completely ignores the future, which is the fact that there's
[00:07:26] you, Craig is on his phone or on his laptop, finding his own property, researching his
[00:07:32] own mortgage options, figuring out what kind of neighborhood this is going to be, checking
[00:07:37] things like crime rate, checking things like schools, all the stuff that you are doing
[00:07:41] yourself long before you even press the button and call the realtor.
[00:07:45] And then maybe he meets you at the host, maybe it's a host you found yourself, but to some
[00:07:50] extent you are 100% correct, and you're the exact reason we built in teletery, because
[00:07:56] with AI, at the end of the day, you could probably write your own offer to purchase.
[00:08:00] You know how much you want to offer?
[00:08:03] All it is is a bunch of field mapping and an agreement where you could pick whichever
[00:08:08] terms and conditions you need, all that fun stuff, and maybe you do need a little bit
[00:08:12] of guidance.
[00:08:14] And I think the new world, I have two visions of the new world as AI comes on.
[00:08:19] One is an autonomous industry, and two, the preservation side of my brain says, I like
[00:08:27] the fact that there's still brokerages, I like the fact that there's still an industry
[00:08:32] where there's agents who can help out the public, and I believe there's still a need,
[00:08:35] no matter what happens.
[00:08:37] And that's what I want to preserve, and that's why I built it is to be a customer centric
[00:08:42] on brokerage, where we focus on getting customers, not recruiting agents, we're not interested
[00:08:46] in that, we're not interested in acquisition, brokerages, we're not interested in any of
[00:08:51] that.
[00:08:52] We're interested in the customer side, getting the customer like you to the table, where
[00:08:56] you're pretty much ready to buy the property.
[00:08:58] You've already picked, done all the work, and same thing as selling the property.
[00:09:02] And then at the end, when you're ready to be transactionary, then you end up lined up
[00:09:07] with our partners, our strategic partners, who can put everything together, make sure
[00:09:11] all your teas and eyes are dotted and crossed, and the way we go.
[00:09:15] And that way you have the ability to do almost everything you're going to do anyway, because
[00:09:20] as long as you're a consumer with a phone in your hand, you have access to all these
[00:09:24] tools, you have access to find whatever properties you want, but you're absolutely correct.
[00:09:28] That is the way the future is going.
[00:09:30] And the real question is, how do I preserve it and make it so I can keep your transaction
[00:09:34] flowing back to a brokerage?
[00:09:36] How do I keep their purpose?
[00:09:38] And I think on a professional level, that's exactly it.
[00:09:41] No different than if you say, well, what about lawyers?
[00:09:44] I think anyone who has themselves as a client has a fool for a client.
[00:09:48] I think there's a need to have someone human overseeing everything.
[00:09:52] As much as I love AI, I still believe there's this purpose.
[00:09:56] Yeah.
[00:09:57] Well, it's funny.
[00:09:58] I was talking to a lawyer this morning who had built my other podcast, fiduciary alchemy.
[00:10:06] And we talked about AI and how AI was changing law.
[00:10:09] And my comment to her was, it seems like AI should bring down legal costs, but you guys
[00:10:18] should do more volumes of business.
[00:10:20] Ultimately, you should make more money by doing more volumes, but individual transactions
[00:10:25] should come down in costs just because the efficiencies are there.
[00:10:30] And she largely agreed.
[00:10:33] The thing that burns me up, you know, when I sold my house, you know, my agent came
[00:10:40] in and she gave wonderful, wonderful advice.
[00:10:43] She did absolutely help us sell the house.
[00:10:46] But one of the sticking points was she, I drafted the original listing description.
[00:10:54] And she's like, no, you can't say this.
[00:10:56] You can't say this.
[00:10:57] Not for compliance reasons, but because she believed it wouldn't sell the house.
[00:11:02] And she had originally promised we'd sell the house in under two weeks, or we'd be under
[00:11:05] contract in under two weeks.
[00:11:07] Well, we didn't go under contract.
[00:11:10] She convinced us to do a price drop that we probably shouldn't have done and told us that
[00:11:14] that's the only lever to turn.
[00:11:16] You know, well, the only thing we can do is drop price.
[00:11:19] And we went for a solid two months of 100% negative feedback.
[00:11:25] Everybody came, looked at the house 100% of the feedback was negative.
[00:11:28] And after two months of that, I said, I submit, send her an email.
[00:11:32] I said, this is the new listing description.
[00:11:35] Please post it.
[00:11:36] And asked for permission.
[00:11:37] I just said, this is the new listing description.
[00:11:39] Please post it.
[00:11:41] It was like we flipped a light switch.
[00:11:44] We went from 100% negative feedback to 100% positive feedback.
[00:11:48] And you know what, within two weeks, we were under contract.
[00:11:52] And it was, it was things that she had rejected before that I said, no, we're just running
[00:11:57] with us.
[00:11:58] And so the question I have is, is that really worth me paying you, you know, 3% or 6% of
[00:12:05] the value of this, you know, of this house when I'm the one that did the marketing to
[00:12:10] sell the house.
[00:12:13] You are exactly the reason I built Intellitary because I talk to customers every day of the
[00:12:19] week, thousands of times a day, and they all say the same thing.
[00:12:23] The world has changed.
[00:12:25] And let's get real.
[00:12:27] When you're talking about a home that's 600,000, a million, $2 million, when you're talking
[00:12:33] about 5% and 6% commissions, you're talking about a lot of money.
[00:12:38] But ultimately, that's not just money, that's somebody's equity.
[00:12:42] And keep in mind, this has come from a guy I spent years and years and years selling real
[00:12:47] estate.
[00:12:48] And I can tell you, unlike most realtors, I sold thousands of transactions.
[00:12:53] I built a conveyor belt system that landed thousands of people with pens in their hand
[00:12:58] at my desk.
[00:13:00] So I know the industry exceptionally well, this isn't a, not just a software value, built
[00:13:05] a great piece of software.
[00:13:06] I know the industry probably better as well as the best to the best anybody in the country.
[00:13:13] I'm that guy.
[00:13:14] So when I built this, I built it from the customer's perspective, like I said, my job's
[00:13:19] not to eliminate a realtor or eliminate the need for brokerages.
[00:13:23] My job is to enhance it and give you as a customer the best experience.
[00:13:26] So you don't feel well, I'm paying a lot of money and I'm doing all the work.
[00:13:31] I'm building a system.
[00:13:32] So they're going to be there for the transactionary purpose.
[00:13:35] As far as you selling your house, you're absolutely correct.
[00:13:38] You know your house better than the realtor.
[00:13:40] And one of the questions I always got asked was, yeah, but do you think the public's going
[00:13:45] to trust AI, realtor knows this and that, this and how do you get to get the trust?
[00:13:52] Well, the fact of the matter is the AI that we use isn't getting paid at commission at
[00:13:57] all.
[00:13:58] It only knows fact, it only knows details and and that's all it knows.
[00:14:03] It's there to move you from point A to point B in a transaction and get everything completed
[00:14:08] and make sure you're with pre-screened agents.
[00:14:10] I mean, I can write books on the real estate industry and the mortgage industry for that
[00:14:15] matter too.
[00:14:16] But I can tell you, there's some excellent, excellent, excellent realtors and you will
[00:14:20] not go away thinking, oh, gee, I spent a lot of money on this guy and I did all the work.
[00:14:25] There are some excellent realtors and then there's a lot of really, yeah, what I'd say
[00:14:30] probably shouldn't be in the industry, but they are, it's their career choice, whatever,
[00:14:34] but they probably shouldn't because it's, there's some that are almost a disservice
[00:14:38] to the consumer.
[00:14:39] And that's why we have a lot of consumers feeling that way.
[00:14:41] But imagine you're paying a lot of money to have your house listed for sale.
[00:14:45] In some cases, hundreds of thousands of dollars, depending on the price of your home.
[00:14:50] But imagine you find out that your realtor has taken that listing.
[00:14:54] You've agreed to pay him $60,000 in commissions if he sells it and you find out that he's
[00:14:58] not even spending any money on advertising.
[00:15:01] He's not doing any marketing.
[00:15:02] He just stuck the sign on your lawn and he's hoping someone else will sell it and he just
[00:15:06] gets 50% of the nice big fat paycheck.
[00:15:09] He's kind of burning the homeowner and you've said to go, gee, we're sitting, we're not
[00:15:13] getting showings, and to know that people were standing outside your listing wanting
[00:15:17] to see the property and then you find out that this realtor didn't even call you back
[00:15:21] or return the phone call.
[00:15:23] And that's not who I built this system for.
[00:15:26] I built this system to weed out that glut, there's that 90/10 rule that's in the bottom
[00:15:33] of the 90% of agents that don't know how to return phone calls, don't know how to reply
[00:15:40] to messages that just outright give lousy service.
[00:15:44] I eliminated that.
[00:15:45] I want to build a system where if someone's dealing with Intellitary, they know they're
[00:15:49] going to be, their train is going to go smoothly along the tracks and the deal is going to
[00:15:53] close properly.
[00:15:54] It's going to be proper title services.
[00:15:57] Everything from beginning to end, the mortgaging's going to seamlessly interact with the transaction.
[00:16:04] The train just runs down the track and you just know you, A, sold your property, B got
[00:16:08] your new one.
[00:16:09] It's lined up, everything's methodical and you didn't have to do any thinking at all.
[00:16:14] But you know that the players that we're putting in place are all people who are experienced.
[00:16:18] They've all been vetted just the same way Intellitary vets the customer and wants to
[00:16:23] make sure that they're qualified ahead of time, wants to make sure that they're capable
[00:16:26] of buying what they're going to be buying.
[00:16:28] We do the same thing with all our strategic partners.
[00:16:31] We want to make sure that they're going to actually return our customers phone calls and
[00:16:35] treat our customers with white gloves.
[00:16:37] And that's kind of the system, there's two halves of a transaction and it's really involving
[00:16:42] professionals on one side and consumers on the other.
[00:16:45] We just built it backwards and that's the investor side of me when I was building it.
[00:16:49] I said, I'm going to build a system backwards from the customer's perspective and that's
[00:16:53] what Intellitary really is.
[00:16:55] So let's break it down.
[00:16:56] What's it doing?
[00:17:00] So compared to my recent experience of both selling and buying a house, how would the
[00:17:05] experience change if I was using Intellitary?
[00:17:08] Well, it's designed for mass transactions and we built this thing to do in year one,
[00:17:15] 50,000 transactions.
[00:17:17] So when you go to Intellitary, we used something that we built out ourselves.
[00:17:23] It's called AV, which is audio video, two-way technology and it's all AI, of course.
[00:17:30] But you're going to have a meeting on my screen that looks no different than this podcast.
[00:17:35] We're going to be talking to somebody who's as real as myself and have this full-length
[00:17:40] conversation.
[00:17:41] She's going to spend time screening you, figure out who you are, what you want, when you want
[00:17:46] to, whether you have to sell first, no different than an interview of you and I were having
[00:17:52] an interview to figure out, okay, well, let's talk about your host for sell first.
[00:17:56] Is it listed?
[00:17:57] Is it not listed?
[00:17:58] Okay.
[00:17:59] Then we move it along.
[00:18:00] Okay.
[00:18:01] Have you been pre-approved yet?
[00:18:02] Would you smart questions that any agent should be asking the customer?
[00:18:06] She's going to get you to fill out the form.
[00:18:09] You're going to fill out the form.
[00:18:10] She's going to end up on your phone now that you are on her phone, on phone with our AI.
[00:18:16] She could then patch you through to one of our specialists and write down to this.
[00:18:20] So I always say it's kind of like what happened when you put Zillow, Uber, and match in a
[00:18:26] blender.
[00:18:27] Essentially, it screens you, then it matches you, then it dispatches you.
[00:18:31] You know differently then, let's say you want to see a property of 123 Cherry Tree Lane,
[00:18:35] it would dispatch you almost like Uber would dispatch a ride.
[00:18:38] So when you say it matches me, what is it matching me with?
[00:18:42] Geographic location.
[00:18:44] So if you're in Texas in Austin or Dallas or wherever, it's going to find the right agent.
[00:18:51] It's got a matrix that we built that.
[00:18:55] If, for example, you're in a $3 million home and you're going to be selling it, it's going
[00:18:59] to put you in contact with somebody who specializes in your specific neighbor, someone who specializes
[00:19:05] in that caliber home.
[00:19:07] On the other hand, if you're a first-time buyer and you're looking first-time, it's
[00:19:10] going to match you up with people who have different attributes in our system.
[00:19:14] And then of course, we have an ongoing scoring system, which is always going to make sure
[00:19:18] that you're never talking to somebody who's not going to return your calls, not going
[00:19:21] to return your messages, someone who has so-called bad ratings or reviews or bad experiences
[00:19:27] with our customers obviously gets booted off.
[00:19:31] We're only interested in people or professionals.
[00:19:33] People are going to give excellent service because that's ultimately, if you're starting
[00:19:37] off with Intellitary, it's always going to reflect badly on us if we pat you off to somebody
[00:19:41] who doesn't give you good service.
[00:19:44] How would it change?
[00:19:45] How would my experience change if I was selling my house?
[00:19:49] From that perspective, we have different options.
[00:19:52] A, we talk about commissions, well, what most people don't realize is they listen to the
[00:19:58] realtor, "Oh, no, our commissions are 6%, and they tend to believe that that's an industry
[00:20:02] standard."
[00:20:03] There's no such thing as an industry standard because someone can just as easily negotiate
[00:20:07] down to 5% for whatever it is.
[00:20:10] There is no industry standard, and there's not even company standards, very few companies
[00:20:14] will dictate our fees are this.
[00:20:17] So it's really at the realtor's discretion, it's really up to you to negotiate.
[00:20:21] So one of the programs we have is, first of all, we do have an open your own door program
[00:20:25] because exactly what you said, if I have a customer who wants to see the property, I
[00:20:31] could open my own door if I'm going to save $20,000 and let them see if you want us to
[00:20:35] buy it, grade an offer comes in.
[00:20:37] So we do have one of those programs where offers will just come in.
[00:20:40] But the other thing we do is we take your information and what we do is we kind of auction
[00:20:46] off your listing to our subscribed agents, they could all submit your issues always going
[00:20:53] to stem from, "Well, this realtor told me my house is worth this much," but of course
[00:20:57] he did because he just wants the listing and he tells you it's worth more, he's just going
[00:21:00] to come back to you in two weeks and get you to price yours, "Oh, this one told me it was
[00:21:04] worth this much."
[00:21:05] Yeah, because it's way too low, it's going to sell in 5 minutes and you're going to go
[00:21:09] to work the next day bragging about how good your realtor was and how fast he sold your
[00:21:13] house, didn't sell it, he gave your house away for it, you know, but what this is going
[00:21:17] to do, it's going to go to various agents who work here in neighborhood and it's going
[00:21:22] to get them each independently put up, put their numbers on paper also because they know
[00:21:29] that other people are competing for the listing, they're going to give you the best possible
[00:21:33] deal on the commissions and that's kind of the system we built so that it takes a negotiating
[00:21:38] out of it, you just get three different proposals and made from there you can even negotiate
[00:21:45] further, that's entirely up to you, but now it's changed the rule where instead of them
[00:21:50] coming to you and dictating how much realtor fees are, it's you being able to say, "Well,
[00:21:56] here's how much I'm willing to pay and if you want my listing, here it is but this is
[00:22:00] what I'm offering."
[00:22:01] So it kind of puts you in the driver's seat, like I said, we built this from the customer
[00:22:04] centric perspective, at the end of the day they're going to make a lot of money and as
[00:22:10] you said from the, when you're talking to your lawyer friend there, if AI technology
[00:22:15] allows you to do more business as a result of being more efficient, the bottom line if
[00:22:20] you have 10 times more listings than you normally do because we're feeding you listings, at
[00:22:25] the end of the year you're going to make more money and a story but one of the other things
[00:22:29] that most people completely miss over is this, realtors are making more money, it's the broker
[00:22:35] that are making less and that's why I built this for broker from the broker perspective
[00:22:39] as well, the realtors are making more money, not because they've gotten any better, not
[00:22:45] because they figured out a new method, they're only making more money because that $300,000
[00:22:49] home five years ago is now $600,000, so when you take a five and a six percent commission
[00:22:55] and you multiply by the new selling price, it's just more money, it's a higher commission,
[00:22:59] it doesn't mean that anything is changing the industry other than the price is going
[00:23:03] up and as a result their commissions went up too, so at the end of the day there's lots
[00:23:09] of room to negotiate to get a better deal, from a consumer's perspective there's lots
[00:23:15] of negotiating room before you're, before you know you're taking food off of anyone's
[00:23:19] table, they're still going to make good money.
[00:23:23] So and let's wrap up with this, one of the concerns and businesses are starting to learn,
[00:23:29] they're businesses that replace their call center with AI, I'm starting to hear that
[00:23:35] they realize that was a mistake and they're starting to go back and that there was a value
[00:23:40] in the human element, let's project forward 10 years from now, all this is rolled out,
[00:23:48] where does the human element show up in real estate transactions?
[00:23:53] Well, so as far as the AI agents, if they're having a bad experience with them, it's their
[00:24:00] own fault they didn't do it right.
[00:24:03] Our AI agents that you go on to intellitary, she can literally talk to 20,000 people at
[00:24:08] once, I can't talk to 20,000 people at the same time, she is that good and that efficient
[00:24:13] and that human that most people would probably rather speak with Chloe, Chloe AI is what
[00:24:18] we call her and she's efficient.
[00:24:22] Where do I see it in 10 years from?
[00:24:23] I think in the future, if they were using AI agents and they had a bad experience with
[00:24:29] them, they probably just had some bad technology, technology's good and it's bad, it's no different
[00:24:34] than anything else, there's good stuff and there's bad stuff.
[00:24:37] But I believe it will be so humanistic, you should have no idea whether you're talking
[00:24:43] to a human or AI, that's the future.
[00:24:47] In fact, the future you'll prefer as a customer, you will prefer talking to AI because you're
[00:24:53] going to get the answers you want, you're never going to have to second guess, I used
[00:24:57] to say you talk to one person, you get one answer, you hang up, call back, you get a completely
[00:25:02] different answer and we've all encountered that before.
[00:25:05] I think the future, it's just going to get better, the technology is going to get better
[00:25:09] and like I said, everyone says it's going to take our job and it will, but it's also
[00:25:15] going to give you a job, it might be a different job, but for every job it takes, I think it's
[00:25:20] going to create that much more.
[00:25:22] Okay.
[00:25:23] Well, Sheldon, thanks for coming on Leaders and Legacies, how can people get in touch
[00:25:26] with you?
[00:25:28] Best way to track me down is by email and that's Sheldon, S-H-E-L-D-O-N at Intellitary.com.
[00:25:38] And you can find me on LinkedIn, feel free to drop me a message there, add me as you're
[00:25:48] into your network and yeah, I appreciate you having me on the show.
[00:25:55] This is Craig Andrews, I want to thank you for listening to the Leaders and Legacies podcast.
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