Get Rich Education 580: AI Landlords: Are Robots Managing Rentals Better Than Humans?
Keith discusses the evolving role of AI in real estate, highlighting its impact on property management and tenant interactions.
He contrasts traditional AI, which excels in IQ tasks but lacks emotional intelligence (EQ), with agentic AI, which can perform autonomous actions.
Dana Dunford, CEO of Hemlane, explains how their platform uses AI to streamline repair requests, leasing, and tenant communication. She emphasizes the importance of human oversight for tasks requiring EQ.
Looking ahead, Dana predicts increased standardization and remote-first investing, with technology playing a crucial role in enhancing real estate management efficiency.
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Complete episode transcript:
Keith Weinhold 0:01
Keith, welcome to GRE. I'm your host. Keith Weinhold, what will real estate look like in five years as AI keeps making inroads into our lives, learn how people have begun using it to manage their rental properties and doing it more cost effectively than humans can. It's a forward looking episode today on get rich education.
Speaker 1 0:26
Since 2014 the powerful get rich education podcast has created more passive income for people than nearly any other show in the world. This show teaches you how to earn strong returns from passive real estate investing in the best markets without losing your time being a flipper or landlord. Show Host Keith Weinhold writes for both Forbes and Rich Dad advisors, and delivers a new show every week since 2014 there's been millions of listener downloads of 188 world nations. He has a list show guests include top selling personal finance author Robert Kiyosaki. Get rich education can be heard on every podcast platform, plus it has its own dedicated Apple and Android listener phone apps build wealth on the go with the get rich education podcast. Sign up now for the get rich education podcast, or visit get rich education.com
Corey Coates 1:11
You're listening to the show that has created more financial freedom than nearly any show in the world. This is get rich education.
Keith Weinhold 1:27
Welcome to GRE from Long Island's Hamptons to Hampton Roads, Virginia and across 188 nations worldwide. I'm Keith Weinhold, and you are listening to get rich education way back in the year 2010 when someone said AI, that could only mean one thing they were talking about, Alan Iverson today, it means artificial intelligence, because chatgpt debuted three years ago this month, and gosh, that changed a lot. It changed how you search for answers to everyday questions. We'll get into applying AI to real estate and property management shortly. But more broadly, look, here's what's interesting, the very premise of a chat bot, like just hearing that word, it sounds really cold and impersonal, yet think about it, Google was way less personal. When you Google something a decade ago, say list the three best paints for drywall, you'd get a list of links, and then you had to dig in and synthesize things and often interpolate to find your answer, or maybe you wouldn't even get the right answer. Instead, today, a chatbot on chatgpt or Gemini gives you the answer in nice, friendly sentences. Maybe they'll list some acrylic and latex paint varieties, and then after the answer, they come back and ask you a good follow up question. If you'd like to dig in for a deeper answer, they'll bring up something that you hadn't considered before, perhaps like it'll turn around and ask you if you want them to refine their answer to just the best latexes and acrylics specifically for rentals. And then it will ask, Would you like me to do that for you? And when you see that, you quickly feel like it's more friendly than that old list of links from a Google search. Yeah, that's a friendly Chatbot. And you can start to see what I mean here. It's not so cold and impersonal. Understand that these platforms ask you a friendly follow up question, because they want to keep you on that platform, just like anywhere else, does you already hear less about hallucinations than you used to when it would just cough up these weird errors? I feel like it's giving better answers than it did just a year or two ago. In my experience, one place where you need to be careful is that these platforms are being so nice to you at times they seem a little too agreeable. One way to break that is to tell the AI challenge my thinking, just those three words can give you a more complete answer. Challenge my thinking, as we already know, one danger about AI is everyone is quickly becoming really reliant on it, and this could be especially harmful to kids that haven't developed independent skills yet. Now I heard from a young teacher who quit her job. A lot of kids don't know how to read today. Why would they when they can just hit a button and it reads it out loud for them, between third and fourth grade, that's when children should transition from learning to read over to reading to learn. Kids have aI right in their hand now, not every kid, but increasingly, they aren't writing a full essay by hand with their own thoughts that they conjured up. Of course, chatgpt does that for them. Now it's probably good to teach chatgpt to kids in older grades, that is, if they don't already know it better than the teachers do, but you've increasingly got teens and young adults that say don't know how to write a cover letter for a resume because it's done for them. Now, much of what I've been talking about so far is called generative AI, and all that means is that it creates new content in response to your prompt. Today, we'll also talk about agentic AI in real estate that is spelled like agent and with IC at the end. How agentic AI is different from Oh, the chat GPT or Gemini prompts that I was talking about is that it acts on its own to perform a series of actions to reach a goal. So agentic AI gets kind of autonomous.
Keith Weinhold 6:06
Before we bring in a great guest to talk more about AI and property management. If you're looking for another episode on how to use AI more broadly in your life and broadly in real estate, check out episode 543 of the get rich education podcast that was a great episode from back in March again, that was episode 543 titled How to use AI for real estate.
Keith Weinhold 6:34
Now let's pull back and humanize things a little before we talk about bots. I just caught myself doing something kind of funny. Now, the other day, I used the hand ergometer at the gym. If you don't know what that is, while you're oftentimes standing up, you basically use your hands to crank this device's pedals in much the same way that bicycle pedals move. It exercises your biceps, triceps, forearm muscles. I have never seen anyone use this device at the gym before, not one person, but I wanted to try them, right? It seems like I often want to try something different from everyone else, and it looks just slightly odd to use this hand ergometer machine. Well, that's not the funny part. The next day, I was throwing a football around with a friend, and I couldn't figure out why throwing a spiral was so difficult for me and why my throwing accuracy was dreadful. Later, when I got home, my forearm started feeling sore. Oh, and I realized it was from using that hand ergometer. You know, this is such a typical guy thing to do, I made sure to DM that friend immediately to tell him that my football throws were lousy only because I had used a hand ergometer at the gym the day before. And he basically replied, yeah, your throws were really bad. It's funny that I felt so compelled to DM him like, hey, I really don't want ed thinking that I can't throw a football like that is so important or something. I could have done anything else with that two minutes of my life, but I cannot go about the rest of my day if Ed thinks I've got a bad football spiral like so important, like, my flight to Paris leaves in 30 minutes, but I'll put that whole trip in doubt, because I can't forget to tell ed I can usually throw a spiral on a football better than what he's thinking. Because, admit it, everybody has an ego. Some are just bigger than others. Well, I am bursting at the seams with a lot of broad real estate investing techniques and developments for you, but I'm putting that on hold until after today's show.
Keith Weinhold 8:45
We're talking with the CEO and co founder of property management platform, hemlane. It's spelled H, E, M, L, A, N, E, hemlane. I'll ask her where real estate will be within five years. She's a really intelligent woman and fully aware that your tenants don't want a bot to handle all of their maintenance requests. It's a lot like how you don't want to say representative to an automated phone system. It's hard to be nice when you're trying to clearly articulate it for the third time representative. Let's meet this week's guest.
Keith Weinhold 9:33
This week's guest is the CEO and co founder of hemlane. They're a property management platform with over 28,000 rentals and a billion dollars in payments process, just like we have been since day one here at GRE She is a strong advocate of purchasing properties anywhere. So that's often going to be outside your home state, because if best investments typically aren't right in your backyard, and why would you limit yourself? She supports real estate investors in setting up the most intelligent process to manage rentals from a distance, in case you want to self manage and do that. She's been named one of the top 20 women leaders and influencers in real estate tech. She has a distinguished resume previously working at Apple, and she received her MBA from Harvard Business School. She's an interesting person too. In her free time, she's an avid equestrian, paraglider and skier, so like me, she sort of has this substantial life outside of real estate too. Come on. You need to do that for your sanity. Well, we've been talking for almost a year now, but this is your first time on the show. Hey, welcome. It is the GRE debut of Dana Dunford.
Dana Dunford 10:44
Thanks so much Keith for having me. I'm so excited to be on your show and have been following it for a long time. So huge fan.
Keith Weinhold 10:52
Appreciate that Dunford is spelled D, u n, f, O, R, D, for listeners in the audio only. And this is a rather forward looking episode streamlining how to use AI in real estate and as a property management solution, putting that in your hands so that you could do that yourself. And before we're done, Dana is going to tell us what real estate investing will look like in five years, and if it's a good time to invest now. But first, Dana, I know you're an expert in leading having autonomous agents handle the tenant relations, things like communication and repair orders to a unit and rent collection. But I think a lot of people aren't really sure what an autonomous agent is. They're like, Hmm, is that somewhere between an autonomous car and a Roomba or something? So what is an autonomous agent?
Dana Dunford 11:42
Yeah, so there's two different types of AI, and where we are right now is with traditional AI. There's also agentic AI, where essentially AI will just take over, be proactive, think about things in advance, know exactly how to solve and make decisions. But Keith, to your point, very many out there here, AI, it's very much of a buzzword, and so I love some sort of parallels, just like you had mentioned with like the robot vacuum. I think a really good parallel would be self driving cars, because that's something that's applicable. We can all relate to. You know, you have Tesla, I have one, and it can drive me to and from work at any time, fully on that autonomous but there will be occasionally times in San Francisco where it will require me to take over the wheel because it's too foggy. There's something that goes on that's too complex of a situation. That is where I would say AI is today that traditional, where it's like it can follow exactly a process, but if the process messes up, like there's something in its way, it can't make a decision. It beeps at you and says, take over, whereas if you look at something like Waymo on the self driving car side, that is fully autonomous. There's no one there. There's no one making decisions. But it's very limited on where it can go, what it can do. Now the technology is better, and that's for another conversation, but it's just slower to go to market. And so with traditional AI, and what we're seeing now, it's fast to market. Everyone can use it, but you can't rely on it 100% you can't say it takes the wheel 100% of the time. And I don't have to think about it. And so that is where we are. I think a lot of experts in the space will say 2030, is when we will see this agentic AI. Will see it completely take over, but we're just not there today.
Keith Weinhold 13:47
All right, we're talking about the transition from traditional AI, which is in place today, to agentic AI, perhaps the Advent or popularity of that in five years, when I think about autonomous agent a lot of times, I like to look at etymology. Just what does that specifically mean? So we're talking about for another AI or a bot, if you will, to have autonomy over decision making. And when we think about autonomous agency with property management, how can we think of that application?
Dana Dunford 14:20
Yeah, I think that you need to break it down into what AI does very well right now, and what you could have aI fully take over, and where you might have some problems. And let me back up to if everyone remembers Watson, who beat Jeopardy, this was a while ago. The reason was, was actually because AI is very good at IQ. It can look up a ton of facts, or it can solve a really complex math problem. So anything on like the IQ side, AI is great to solve, but it's EQ that AI. Lacks, yeah, and EQ is me picking up the phone and saying, you know, Keith, I'm so sorry I messed up on, you know, whatever it was for you. If you're my boss, I'm so sorry here. So I'm going to make it right. Blah, blah, blah, blah, blah. And so that's where AI is not as good. And so when I think about any kind of system with real estate, you know, putting together your pro forma and looking at the cash flow and all of that, like AI can actually do it well, if you set up these are all the prompts that I would need, or take everything from insurance to interest rates and come up with the pro forma. But where AI will fail is a lot of times on the tenant communication side. And the reason for that is, let's just say, Keith, you have a apartment complex and there is the heat out. Well, if someone has a screaming baby in the background when you pick up the phone, you are going to answer that question, or you're going to talk to that tenant a lot differently if you're human versus if you're AI, you're going to say, oh my gosh, you have a four month old baby. You know, I also have kids. I know exactly what you're going through. And just so you know that HVAC technician is coming out right away, I will be here for you. I'm going to call you in five minutes. And so I always say, especially in real estate, because real estate is a people business, you really need to what, what you're trying to automate, or what you're trying to use, AI into four quadrants, and one axis, the horizontal axis, is IQ. Anything along that access it does well, but the vertical axis is EQ. And so the higher up you go on EQ, where you need relationships, the less likely it is, or my recommendation, would be, put a human in there. And so when we think about AI, it's like, if you're calling someone to confirm an appointment and remind them that, like an electrician is going to be there in an hour, you don't really need a human to do that. That's something that AI can do, and someone's going to have a delightful experience, right? But if it's something that requires that, EQ, that's where you're still going to have to have humans there.
Keith Weinhold 17:11
One thing that I often think about is, some years ago, popular email providers like Gmail, when someone would send you an email message asking you a question, Gmail basically started reading that email for you and giving you three little bubbles to click on the bottom, basically where you can click a yes answer, no answer or a follow up for more information, does that help give some relativity to what We're talking about here in property management and those tenant relations.
Dana Dunford 17:43
Yeah. I mean, I think that the Gmail with like, yes, no or No, thank you, or you get it also on LinkedIn that almost has zero EQ, because it's really just answering a question. It's not saying, Keith, I hope you had a wonderful weekend. You know, on your run, blah, blah, blah, blah, blah. It's not doing any of that. And so I think that is very much of a case of like, it's responding exactly to the email. I do think AI is getting better, where it's having that human touch involved in it when it responds to things. So now in Gmail, where you can have it draft you a response, but at the same time, it's not quite there unless it has enough context. And what I mean by context, and Gmail is such a good example, let's just say Keith today, if you look at Gmail and it's responding to an email, it is literally only responding based on the context it has in that email, right? But let's just say Keith, that you could increase context. So I gave you two axes, like EQ and IQ, high and low on both. Imagine if I could add a third axis on there, so it's almost like 3d and it's context. Now imagine that email you just mentioned came in, and it also could look at my messages, Keith with you on, let's just say Facebook, it also could look at the last shows that you had out there. It also just looked online at things, and maybe it could look at other, you know, information that you might have posted on LinkedIn. And maybe you posted on LinkedIn about your run this weekend. Now I can respond with a lot more context. Hey, Keith, saw on LinkedIn. You had this that is actually adding EQ to it, where it's making it much more personalized. And I think that is where the future of technology is going, and that's why data is such a big play here, because the more context you have, the better you are. And you know, we see that personally as a tech company, we wanted to control more of the data. We don't want to have a ton of APIs with other companies running maybe self guided tours for us, or running the maintenance coordination, because we need that all in our system. Because if we don't have access to the lease agreement to know specifically, do they have an occupant under one years old in the place it makes it. Lot more difficult for us to respond in a very eloquent way and help solve that EQ problem that a lot of AI has today.
Keith Weinhold 20:09
Talk to us more about how today autonomous agents are helping with property management, whether that's handling tenant requests for repair issues or helping virtual showing. So tell us more about how it's really helping investors today, and then what to watch out for.
Dana Dunford 20:27
Yeah, definitely. So the autonomous agents, or at least the AI agents, that we have always draft things up. Well we use them for like, some of the best places to use them are things like troubleshooting repair requests. Okay, 7% of repair requests that come into our system. And I'm sure with any of your guys' portfolios, you'll see the same thing, 7% we can get the tenant to solve without liability. However, we have to train the AI, so we have to say, Listen, we can have zero liability with this. So if the ceiling is over 10 feet tall, do not put a tenant on a ladder and tell them to change a light bulb. You need to know exactly like you know when a tenant says, My light bulbs out and it checks out. They moved in a year ago. That's their responsibility. Like you are not going to put them on a ladder unless you have more of that context. And so on the troubleshooting side, that is a great way where AI can respond and fully come up with here's a summary of everything we've done. And here, this request was either closed or actually, we need to pass this over to human that is a great way to use AI. You just need to make sure the data you're using is right and it's trained in the right way. Because if you don't have all of those additional specific, intricate type of examples that I mentioned for residential property management, you can get in a lot of trouble this same for an autonomous agent would be on the leasing side. It's very easy to do it early on when you get the tenant inquiries coming in, because now what you're trying to do is just qualify them. Is this person qualified for a tour, and if they are, what time do they want to see the property? Right? And how do I get them in as quickly as possible? With that, though, you have to train it. So, for example, I live in California. I live in San Francisco. You can't just say the credit score requirement is 650 because if the person is on Section eight, which you are required to accept in California, you have to give an alternative to credit in order to let them qualify. And so that's where these models to get, these autonomous AI agents. It becomes really important to be a subject matter expert in the space and be able to run this and have it train and know exactly what it should be saying in those cases. Now, Keith, I always say kind of as a rule of thumb, the farther down you get on something, the more challenging it is for it to be fully autonomous. And that's where you need a human involved. So for example, for us, once you're talking to service professional and communicating between them and a tenant, you very much need a human to be there to help with that. And same thing on the leasing side, there is no way, actually, if you know anyone, Keith, I would love to talk to them, but there is no way a tenant is going to go ahead and talk to an AI agent all the way to signing a lease and handing over the keys, especially if you're doing something like self guided tours, they're going to want someone on the phone talking to them. Hey, I'm here for you again. That EQ those quadrants I mentioned, really bringing that into play. So I found a lot of things with property management. At the beginning, you can use AI, but there's a certain point where you get to something where you say, I actually need a human to be calling or messaging, because you need that additional touch.
Keith Weinhold 23:47
That makes sense. This is not buying a weed eater. This is actually a rather intimate transaction. We're talking about where you and your family are going to live and thrive and eat and sleep every day we're talking with hemlane, CEO and co founder, Dana Dunford, about applying AI in real estate and property management more when we come back with Dana, I'm your host. Keith Weinhold
Keith Weinhold 24:12
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Keith Weinhold 26:13
Welcome back to get rich education. We're talking with Dana Dunford in a rather forward looking episode, applying AI to real estate investing and property management and Dana, I think I would wonder about if AI has much reasoning ability, as far as, why don't we say prioritization with a tenant repair request? If a tenant has a repair request because their kitchen cabinet doors are squeaky, that's probably something that needs to be handled differently and is going to be lower on the priority chain than if a sink just flooded all over the bathroom floor, and it's going to ruin the subfloor in a few hours if it's not addressed. So where are we at with AI's reasoning ability there?
Dana Dunford 26:57
It's actually pretty good at prioritization, so it can tell our team where things are from a priority list, however, where we found that we've had to train it more, and this is us putting logic into it from a large language model, is it hasn't picked up certain things. And let me give you an example. Keith, my toilets not working, right? Okay, well, the biggest question to ask is, how many toilets do you have in the house? How many are in the property? Because if there is one, that is definitely an emergency, if there are two, not so much of an emergency. And so that's where there's additional contacts that comes in, go search under the marketing description, how many toilets are in this house, right? And then confirm with the tenant the other one is still functioning. And so there's certain things like that that we've found we've had to personally train to get it to respond in the right way. But overall, like generally, it's pretty good at helping to de escalate things, turning off valves saying, hey, mop up. You would be surprised how many tenants don't just like mop up the water on the floor. They're like, Oh, I wanted to keep it so you could see what it looked like. It's like, no, no, no, you need to mop it up. And by the way, we need fans in there. And there's a point where you just get a remediation specialist there. It's one of the most expensive trades, because usually insurance is called if you're calling a remediation group, but really understanding the extent of it and stuff like that, AI is actually pretty good at that. And the reason why is that is an IQ thing, where it's something easily searchable on the internet that is applicable to all homes, right? And so it's much easier for them to be able to do the prioritization of repairs.
Keith Weinhold 28:39
Okay? So an investor can basically buy or leverage the hemlane software and tell me, is there an AI integration with it? And like, how does that interface actually look and how much does the investor need to use it? What's already built in? Tell us more there.
Dana Dunford 28:58
Yeah. So we have a repair coordination. So when we build features, we build features to solve problems, not to like call it a feature, right? And so there's one feature we have called repair coordination, and that is to end to end, coordinate your repair all the way from troubleshooting to confirming work is completed and paying the service professional on your behalf. How we get that done. We don't think the owner really cares, as long as it's a five star experience for them and a five star experience for the tenant. And so what we've done in our approach has been, you always have humans that you start with, and these are people who are trained specifically in all of these things we've been talking about. Then what you do is you add AI in, and it's not quite yet a co pilot, a co pilot, is actually helping, like, make those decisions, but it's making the humans faster. And then the humans can come back to us, our repair coordinators, and say, Hey, listen, this is where the AI fails a bit. This is where I had to replace something in the AI before I clicked send. And. That is a really good way to do it, because I've seen out there, and I'm even though I'm in Silicon Valley, I'm in San Francisco, like aI Mecca, I'm probably more conservative on using it in part because of tenant landlord law and just what can go wrong. And so for me personally, it's like, I see sometimes out there where people's like, use our AI repair coordinator and it's fully AI. And it's like, yeah, but we've seen cases where the AI fails, just like I mentioned, where my car asks me to take over the wheel and and that's where I think that we're just not quite there yet, and we need to give it more time, you need to make sure you're using the right technology for it, but that's where I feel like it's almost more like an assistant to me versus an actual replacement or a co pilot yet, but it will soon get there.
Keith Weinhold 30:55
Well, a lot of times the producer or I guess, landlord, in this case, they want to use AI, but consumers don't really want to consume AI content. You can imagine, if a tenant had a problem, they don't want to feel like an AI was used all the way through the process and was never involved. So tell us more about that. I mean, how do the tenants take it?
Dana Dunford 31:17
Keith, I love that question so much. Because one I think sometimes technology companies are not transparent of what is AI and what is not AI. Yeah, I think the first thing you need to do is be transparent that it's aI talking to you. If you don't do that, you've suddenly lost trust, right? Sometimes they'll brand it as a person, but it's really not. So that's the first thing I would say. The second thing I would say is, if the AI solves what they need, we have found in a very delightful way. We have found that they don't care if it's AI, if they're chatting and it's so fast and the answer is their question, then they don't care that it's aI doing it, or human they just care about, what is my problem, and how do I get that solved? Right as quickly as possible. I think if AI was slow, they would care, like, they're like, Oh, it's a slow support agent, because they're too cheap to, like, invest in support. But no, they actually get their questions resolved. We have occasionally had tenants who have said, Hey, this didn't help me. You know, connect me with an agent, and then we connect them right away with an agent. But what's interesting in those cases is the AI actually had the right answer, so it gave them exactly the answer. But the person was like, I just don't want to talk to AI. Then the question is, how do you actually change it to make them want to talk to AI? And a lot of it has to do with that. EQ, how do you add it to make it such a delightful experience for them, where you're adding so much more in? And how you say, like, Does that help answer your question? I'm happy to like say it in a different way, if that is helpful. So I think a lot of times when someone says, oh, the AI answers that, but people just want to talk to human. It's really more that the AI didn't answer it how they wanted it to be answered, or it asked too many obnoxious questions, where the person's like, just let me talk to human. You're asking me the wrong questions. This is not applicable, and that's really where you need to have a better level of where your technology should be when you're responding to someone
Keith Weinhold 33:20
just quickly. Dana, how is it integrated with dispatch, with that sink flooded all over the floor? Example, would the AI know to contact a plumber versus just a handyman that works at a lower rate? So how does it work with dispatching?
Dana Dunford 33:35
They would before anything is dispatched, because it's another human involved. We do have, at this moment, we still have humans involved checking it, but it would know because of a couple of things we have. One is preferred service professionals. So who do you want to go out? First, second, third, fourth. Then of those service professionals, what do they do? Is it just septic, you know? Do they do full plumbing, whatever it may be, and then also, what that person's hours are like, if it's a weekend and it's an emergency and someone doesn't work weekends, you're not going to call that service professional. You're going to call the next one in line who is available. So all of that is built into it, but we still always have humans look it over to say, is that the right category? Are they dispatching the right service professional? All of that, eventually that can just take over with AI doing it. But at this moment, we still put humans involved, because most services have a service call, and we need a person to say, Yes, I made that decision to send that person out, just because, you know, could be $89 and for everything service calls add up, so we want humans to make that better for you?
Keith Weinhold 34:40
Yeah. All right, so we still have a good level of human involvement. Well, Dana, before I ask how our listeners can learn more about hemlane, what does investing in real estate look like in five years? Since you are rather forward looking there
Dana Dunford 34:56
yeah, So I think there's a couple of things right now. Keith, we had spoke. And right before this show started about how challenging it is. It's a slow real estate market. Yeah, it is. I still think people will regret if they don't purchase now versus in five years. You know, I still think you should be looking for those great deals where someone has to sell and the price doesn't matter as much and you don't have as much competition. So when you look five years out, it has to become easier to invest and manage Real Estate. Today, to me, it's still a broken process. It's still so challenging to get anything done, it's still so manual to get everything done, and it's also you're dealing with people, and people get exhausted by that, like the drama and stuff like that. So I think in five years, you'll have less of that, there will be much more standardization. And an example I would give is, like, with the taxi industry and Uber Right? Like, a very consistent quality, you know what you're going to get, you're going to get from point A to point B. We need the same thing for real estate, with what you're investing in? How that happens? There's a lot of great technology companies out there doing things exciting. Things are like fractional ownership and tokenization. I think that is something that online, being a little bit more passive is going to be a lot easier. I think remote first investing is going to be the way to go, people are going to feel so much more comfortable investing not in their backyard, which I know Keith, you and I are huge proponents of. And then I also just think that in the case of how many people are going to be focused on who's their tech partner versus just who's their local partner? I think that is going to be another thing, because of all of this we mentioned with AI and those who are using more technology, even just to source the deals. I'm not talking about management. I'm talking about straight from the start, or how you finance it. Anyone who is using more technology and better technology is definitely going to win in this space.
Keith Weinhold 37:02
Yeah, investing out of state continues to grow in popularity, and platforms like hemlane, with the right AI integrations can help reduce that friction in still a pretty high friction industry over the next five years. Well, Dana, I think you really going to get the wheels turning for a lot of listeners here, if they want to learn more about hemlane, what's the best way for them to do that?
Dana Dunford 37:26
Yeah, you can go to www.hemlane.com We've everything from free packages to manage your properties to much more full service, comprehensive with that repair coordination we spoke about just please do mention this interview slash podcast, specifically Keith and GRE and you will get 20% off your first year there. So please do make sure to mention it.
Keith Weinhold 37:50
Oh, thank you for doing that for our listeners. Dana Dunford, it's been valuable as I knew it would be. Thanks so much for coming onto the show.
Dana Dunford 37:57
Great. Thanks so much for having me.
Keith Weinhold 38:02
You Brenda, how much does it cost for an investor to use hemlane? Well, there's a free software package where you don't have to leave a credit card or anything like Dana mentioned. Their website will show you that monthly. There are a few packages and fee schedules, but they all have 14 day free trials too. Now, if you use a professional manager, it's less likely that hemlane can help you. If you self manage, you can book a free demo right there from the top of their homepage. It's really easy to find. They can help you with tenant screening, background and credit checks, listing, syndication, online rent collection, tracking rent payments, late fees, and they've got dashboards for lease and tenant status, also everything to do with streamlining maintenance requests, work orders and some of the logistics of your repair coordination, H, E, M, L, A, N, E, hemlane.com, you might like the demo. You can mention GRE for 20% off your first year. That is kind of Dana to do that for us until next week, when I'll be back to help you build your wealth. I'm your host. Keith Weinhold, don't quit your Daydream.
Speaker 2 39:20
Nothing on this show should be considered specific, personal or professional advice. Please consult an appropriate tax, legal, real estate, financial or business professional for individualized advice. Opinions of guests are their own. Information is not guaranteed. All investment strategies have the potential for profit or loss. The host is operating on behalf of get rich Education LLC, exclusively
Speaker 3 39:40
The preceding program was brought to you by your home for wealth building, get richeducation.com
Transcribed by https://otter.ai