How to Leverage a AI Transaction Coordinator to Close More Deals: Listedkit AI

REE #318 Transcript

[00:00:00] ListedKit AI:
We use the big guys, you know, a combination of the most common providers out there. Our specialization is on how we prompt our AI to work with Ava or to become Ava. And that's been through the hundreds of conversations I've had with agents and TCs in the industry to understand not just how the laws and the real estate industry works, but what's the special sauce in being a good TC, a good agent. Yeah. And that's what we give to Ava.

[00:01:00]

Hey, welcome back to the Real Estate Excellence Podcast. It's your host Tracy Hayes. And I want to tell you today's conversation is one that every agent, every transaction coordinator, and every team leader in this business needs to hear. Today's guest came from outside the real estate industry. He looked at the way transaction coordinators were hand keying contracts, manually entering data one field at a time, and said there must be a better way.

[00:01:25] Tracy Hayes:
So he built one. He took an AI assistant they call Ava from concept to working product in under a month. And what she can do will stop you in your tracks. We're talking about reading your real estate contract, including handwritten ones, in under 60 seconds, extracting every deadline, every party, every contingency, and building out your entire transaction timeline automatically. What used to take 35 minutes now takes under five. The platform has processed over 2,100 transactions across 50 states, which I imagine is a little bit more now, was named a 2025 Inman Innovators Award finalist. And the agents and the TCs using it say it's like having a second set of eyes there that never sleeps.

Please welcome to the Real Estate Excellence Podcast, the product lead for ListedKit AI, Koran Kana, to the show. Did I pronounce the last one?

[00:02:21] ListedKit AI:
You got it right. Yeah. Thank you for having me, Tracy. I'm super excited to be here.

[00:02:26] Tracy Hayes:
Right. I appreciate you coming on. I've had a handful of innovators in this space of AI. Obviously, it's a hot topic and, you know, I often explain—and the people who listen to my show regularly—I believe AI is kind of like the moon. You've got to get your arms around it. You know, there's a dark side to the stuff that's going on, and maybe you don't quite understand, but you have to lean into it to learn more.

And I really appreciate you coming on. But tell us a little bit about, you know, just briefly about your background and obviously what led you—what were you doing that led you into seeing what was going on here in the real estate space?

[00:03:05] ListedKit AI:
Yeah, totally. I am a product manager by, I guess by breed, by default. My mind goes to let's talk to people, understand their true needs, and then see if we can come up with some cool software solutions to solve their problems. That's actually what our parent company, Harmony Venture Labs, does every day, and they've kind of trained me over the years to have an eye for problem solving.

And then going and finding the unique solution to the problem. Real estate has been around since before I even actually joined Harmony Venture Labs. It's been going through several iterations, but the key challenge was always how can we create a dynamic system? Because real estate transactions are dynamic.

Every one is unique. You know, everyone has a different buyer, different property. We've tried as an industry to templatize everything with rules and templates and structure, but then often when things go wrong, your whole system falls apart because old school software was kind of fixed in the way it would work, and you'd have to think of every possible outcome before it happened.

But then with the advent of AI and ChatGPT being able to just answer your questions on the fly, we looked at that technology and we saw that's the perfect facilitator of a dynamic system that actually is proactive. It can react smartly to things changing on the fly and also can possess the deep knowledge that real estate agents need as they're on the go closing deals.

And so we just took the problem of all this data that needs to be organized and the solution of the AI world, and we put them together, and now that's kind of how ListedKit and Ava came to be.

[00:04:47] Tracy Hayes:
What was—you said ListedKit was there before you—what was it doing initially? Was it doing this or what was it actually created for?

[00:04:53] ListedKit AI:
That's a good question. So—

[00:04:54] Tracy Hayes:
Doing this or, but what was it? What was it actual—

[00:04:56] ListedKit AI:
Yeah. Actually—

[00:04:56] Tracy Hayes:
Created for—

[00:04:58] ListedKit AI:
I think I'm a little blurry on where it started initially, but I do know the state of ListedKit before I hopped on and we turned it into ListedKit AI.

[00:05:08] Tracy Hayes:
Mm-hmm.

[00:05:08] ListedKit AI:
It was one of your traditional transaction management tools where you set up your templates, your workflows, and then you have to go in and type in your contract data, and then your templates would be there for you. And it would be more of like a checklist where it would tell you what to do on a big task list. Mm-hmm. But it wasn't actually able to start getting the work done.

And that's where we've been really pushing for Ava to actually write that email for you, send that email out, put the calendar in instead of just you do all this work to get a big to-do list.

[00:05:39] Tracy Hayes:
Now you're starting to bring in the project management part now. Okay. Now I'm actually putting that together. Yeah. Somebody, project management company that saw a project that needed to be managed. Mm-hmm. And that was the transaction of real estate. Mm-hmm. Mm-hmm. Wow. Okay. Alright, so now you—you’re coming from out, you're a project manager by trade. You come into this space. What did you initially learn? You know, I imagine you went out and talked to agents and so forth or what their pains were, or transaction coordinators. What are some things you learned about the business, you know, initially kind of feeling this out?

[00:06:12] ListedKit AI:
That's a good question. So for, I guess chronological honesty, we started with independent TCs. Some of my team have been on ListedKit longer than I have, so they gave me that context that if we can solve the problem that an independent TC has to solve, then everybody else kind of gets covered.

Because an independent TC is doing the work for multiple agents across different brokerages, sometimes different states. They have the most complicated workflow. So we started with how does an independent TC manage email communications, contract reading, contract management for 50 agents at a time across different states.

And I think it all boiled down to right now everything lived in their head and they had to basically be on high alert for 14 hours a day. That was the high-level problem. You know, they're checking their inbox constantly. They're checking five different tools. Some brokerages use SkySlope, some use Dotloop, some use, I guess, ZipForms. So just constantly checking everything, checking in on everything.

And it's funny because I see a lot of parallel in my work being someone who has to coordinate with our engineers building the right product and our marketer getting the right messaging out there. I also have a similar—obviously not as intense—but similar role of facilitating our work to move forward. And that's what the TC does as well.

[00:07:34] Tracy Hayes:
Yeah.

[00:07:34] ListedKit AI:
And so we started there, figure it out, okay, these are the core workflows that TCs need help on. And then we compared that story to the agent who doesn't have a TC. And it was one-to-one, just smaller scale of I want to be out there selling and managing my clients and delivering a stellar experience. But I find myself stuck in my office having to read through a bunch of documentation, update a bunch of tools, update a bunch of notes. I just wanna be out there selling.

And then the last piece of this was we spoke to the brokers, the team leads, and they said the same thing. I want my TC to be able to handle 2x the volume she's doing right now at the minimum. And I want my agents to just be outside the office. Is there a reality we can find in with technology today? And that's kind of where we've been building towards, you know, and that's kind of how we uncovered the problem that we're in right now.

[00:08:30] Tracy Hayes:
Whoa. You just, you're making my—I got another conversation that I'm having over here with another AI person. I mentioned Lyman Starr, who I mentioned to you in our call last week. Yep. And some of the stuff they're working on, in branching over from the mortgage space and creating leads. And then, you know, their actual big engine on the backside is actually they wanna feed with the data is follow up, which we know, mm-hmm.

You know, 90 something percent—I guarantee it—I don't know this, you know, I'm not pulling any factual data from some studies, but I've been in the business 20 years. I've been in sales most of my life. Yeah. We know the follow up part is a huge gap as well. Yes. Mm-hmm. So to go back to my experience and people that regularly listen to me, but anyone listening to this the first time, having interviewed over nearly 300 of the top producing agents, primarily locally here in Northeast Florida, but, you know, some remotely.

I'm gonna expand out that with the show. But anyway, their challenge—and they reach this lid where the one agent by themselves has reached this lid—and we were talking a little bit about this pre-show. Now they gotta make this gap jump, a leap of faith. Do they hire a transaction coordinator now to do the talking with their client or more talking with their client where they were doing it before, but to save them more time, to be more forward facing.

And obviously the broker you're talking about, they understand the power of the agent who is more forward facing, that is actually having longer conversations, spending more time with their clients that they're working with at that time. And then obviously being able to come back home or come back to the office and manage the business versus, you know, being in this part of the business, of the operations part.

[00:10:22] ListedKit AI:
Yeah, that's exactly right. Why have an agent who specializes in being extroverted, being out there, creating a great experience for their client, sitting in an office instead of spending time with their family at the end of the day, just burning through paperwork when now an AI can pretty reliably do all of that for you. That's the question we're solving today.

[00:10:47] Tracy Hayes:
Alright, so actually I have these questions, but we're just covering in here, all in natural conversations, which often happens. So I call it rubber meets the road, or oftentimes I use the word Gumpify, following Forrest Gump. Let's make it real simple. Yep. Let's talk through and give some color commentary, if you can. Because I imagine, you know, I think what really sets—or will resonate with the agents—is where you saw the challenge with or with the transaction coordinators that you're talking about who really are similar to a solo agent, you know, working, but they're working many contracts at the same time. Right. Hopefully.

But what pain you saw and then how that—how you've developed the actual process. So when using ListedKit, it really—if I—and correct me if I'm wrong—it really doesn't start until you actually have a contract. Is that correct?

[00:11:43] ListedKit AI:
Correct. That's the first thing we ask you to do after giving us your phone number is upload a purchase agreement or a listing agreement.

[00:11:48] Tracy Hayes:
That's okay. So a listing agreement. Okay. So an actual listing agreement. So either one. Okay. Mm-hmm. Mm-hmm. Because there's a bunch of work to be done on a listing too.

[00:11:56] ListedKit AI:
It may be not as dense within a month. It's expanded over six months.

[00:12:05] Tracy Hayes:
Mm-hmm.

[00:12:05] ListedKit AI:
But our vision for you is you're handling volume that's beyond what you used to. The more context you can give our AI assistant, the better. So let's start tracking your deal all the way from the listing agreement. But yeah, that's the first thing we ask you to do. Upload a contract.

[00:12:22] Tracy Hayes:
That makes perfect sense.

[00:12:23] ListedKit AI:
Because—

[00:12:24] Tracy Hayes:
A buyer really doesn't have anything going on. The listing—you already have the address to the property. Mm-hmm. And you have some things that need to be done, which tell—let's start with, hey, I just got a listing.

[00:12:35] ListedKit AI:
Yeah.

[00:12:35] Tracy Hayes:
So I'm gonna upload the contract. What is ListedKit helping you prior to actually having the purchase agreement?

[00:12:41] ListedKit AI:
That's a good question. So—you upload your contract, Ava will pull the address, the listing dates, you know, when the MLS needs to go live, like when the listing starts, when it expires, and she'll even create a task list for you based on whether you've given us your preferences before or just based on the contract.

Just a simple list of all the work that needs to be done around managing that listing. And then once you're inside ListedKit, you can store any documentation related to your listing. You can upload offers, you can review them with Ava if you need to. We're still cleaning up the offer management flow, but right now you have an AI that knows who you are, knows the property.

You can give us your offers. Ava will go through them and help you work through that if you need to. And then any email communication regarding that listing can be done through ListedKit. If you need to track those deadlines on your calendar, Ava will put them onto your calendar and manage those for you.

Something goes wrong, something gets delayed—you can tell that to Ava and she'll actually help navigate that situation for you, whether it's sending an email to clarify something, moving calendar events around, keeping the listing up to date. All can be done with Ava.

[00:13:51] Tracy Hayes:
Alright, so again, we're trying to keep this really simple, and obviously sometimes it's better to repeat ourselves to the listeners because I hear it the first time. Mm-hmm. But then we're talking—we were—we're going through—I put that listing agreement in there. Obviously, we're gonna have photos done. Obviously I imagine the agent's telling you, hey, we are gonna go live on this day.

[00:14:10] ListedKit AI:
Yeah.

[00:14:11] Tracy Hayes:
The pictures come in. Am I uploading all those pictures into ListedKit as well? Every possible thing? And is it communicating with the MLS—in other words, helping me actually create that listing description, et cetera?

[00:14:26] ListedKit AI:
So at the moment we don't communicate directly with the MLS. That's something we are working on. Takes a little time because we directly have to integrate with them.

[00:14:35] Tracy Hayes:
Yeah.

[00:14:35] ListedKit AI:
But yeah, you can upload the images, you can ask Ava to generate a description and then just copy, paste it into wherever you need to. Yeah. That, I think that's the simplest way to put it.

[00:14:44] Tracy Hayes:
Yeah. Well it is one of the things that, you know, I was telling the other gentleman he was working on, and we started talking about listing descriptions and there are people that are using, you know, ChatGPT or Claude or whatever, mm-hmm., at a very basic level, and they're going in and typing a listing description, having to do it.

But really having AI analyze the pictures and everything as well could really accent your listing. Just a little tip out there—have AI analyze the pictures. It might point out things that you're not verbalizing. It will verbalize for you. You can go in there and, you know, obviously clean it up. I know, I don't want that, but oh my God, that's a great idea.

Because I hear one of the biggest challenges, oddly, is here in Florida pool homes and people actually not mentioning the house has a pool in the listing description.

[00:15:36] ListedKit AI:
That's a very good example. Yeah. You should absolutely be able to just—I mean, and you can—you can just upload all the images and then have Ava take a look at them, draft them, and you could use those images, you know, if you need to send them in an email to have the client review. Like, do these pictures look good? All that can be done within ListedKit.

[00:15:54] Tracy Hayes:
Now you did mention that you have offers come in, you can give Ava these offers.

[00:16:01] ListedKit AI:
Mm-hmm.

[00:16:02] Tracy Hayes:
Explain what is Ava doing with those?

[00:16:04] ListedKit AI:
So you can give offers to Ava, and essentially create a context of all the buyers that you have kind of reviewed. And you can have Ava go through them, analyze what's the best offer, come up with an outreach plan, you know, like we're gonna email the client first and review these options with them. Put that all into an email for you. Once the client confirms which offer they wanna go with, we can then draft an email letting the buyer on the other side know, okay, we're ready to go.

And now we're kind of bleeding into where we're going next. But when we have e-sign come live, which is pretty soon, we wanna have you be able to send that offer for signature directly through ListedKit. So we are starting to step into the future territory. So I'm gonna reel it back in and stop there for now.

[00:16:48] Tracy Hayes:
Right, right. Well, yeah, I mean, I think the things that—like obviously e-sign is a common sense expansion, common sense add-on that you guys are working on and everyone needs to understand this is cutting edge stuff. Yeah. And I've heard, you know, Lofty is, from a compliance standpoint, analyzing their contracts, but to actually start your workflow with the listing agreement, you know, putting those dates in there.

Now when you submit the offer, you know, someone makes an offer, you're uploading it into Ava. Ava looks at it. Is it giving you kind of a really just, alright, here are the key points—they're offering this, they're offering this, they want these contingencies, you know, anything special? So it's bringing those things out to you and putting them, you know, the important things. Because obviously the contract is the contract. There's a lot of words on there, right. And sometimes there's spaces that are small and you might overlook it if you're just browsing it, especially if you're doing it on your phone.

You know, Ava could actually go in there and it's gonna create this really quick report that says, hey, they want to close by here, this is what they're offering, here's their earnest money, they want to use this type of loan, and they want 2% seller concessions.

[00:17:58] ListedKit AI:
Yeah. And like let's say you have a rush of offers come in on a day, you could give all four of them, for example, to Ava and she can cross compare and see which one's the best one and actually pull that analysis out for you in parallel. You know, reading four offers at once is now a thing.

[00:18:13] Tracy Hayes:
Yeah. Well, I mean, obviously during COVID we—I mean, I have an agent, a friend of mine, she literally had 60 offers on one house.

[00:18:21] ListedKit AI:
Oh, wow.

[00:18:22] Tracy Hayes:
Yeah. And to be able to go through those and analyze it and then help you too—maybe you're a new agent—and get Ava to give you some insight of why you would recommend, or obviously create that little report and send it to your seller and say, here are the reports, here's my data. I recommend A, but you know, maybe you want to consider C or D.

[00:18:49] ListedKit AI:
Right.

[00:18:49] Tracy Hayes:
You know, and the offers. Exactly. And then it's on them. They made the choice.

[00:18:53] ListedKit AI:
Yeah, that's perfectly—that's a good way to put it.

[00:18:56] Tracy Hayes:
Yeah, yeah. So you know, not every agent might see great value in it, but obviously you could start to use that data for a lot of different things. I mean, I think people don't realize the things they do. I mean, after 300 episodes of a podcast, I actually—I’ve got my manuscript for a book because I got more content than I can—I can write several books, got different topics, obviously.

Alright, so from a—up to the point of actually agreeing to choosing one of those offers—anything that we want to talk about from the standpoint of uploading the listing agreement, anything you wanna share with the agents of just little things that you've got in there that are gonna help them pre-contract, from the listing agreement to actually getting a contract?

[00:19:42] ListedKit AI:
I think we've covered most of it, where all your email communication, all your deadline tracking, any offer management you want to do up until getting it signed, all can be just easily done in ListedKit. And then as you start doing multiple listings, we keep up with that scale with our task management systems. You could start increasing the number of listings you're accepting and manage all of it through ListedKit quite easily. So I think that's a good place to keep it.

[00:20:09] Tracy Hayes:
I imagine, you know, just like you go in—if you go in like actually jumping over to Claude now—I was using Chat for a while, just opened my Claude account. So you go in there and you're giving it some of the background on you. There's some different settings that you're going in there and doing in this stage of things.

I would imagine, obviously Ava's gonna ask you when do you expect to put this house on, you know, go live, right? And then it starts to set the parameters around it, type of thing. Is it able to talk to pretty much any email platform? Because I imagine—and obviously you—so it's putting it in your calendar and so forth.

[00:20:50] ListedKit AI:
Oh yeah. We integrate with Outlook and Gmail—that covers about 90% of the market. And yeah, you can connect with either, and then Ava will be able to send emails on your behalf—obviously you review them—and update your calendar accordingly.

[00:21:03] Tracy Hayes:
I would imagine, I mean, just some feedback from your clients initially on that part of what ListedKit does even after contract, because you have several dates in there. For instance, I was sending out an email because one of my loans got approved today. That's on their things, right? Loan approval by a certain day.

I would imagine the fact that that's already being fed in there and filling in all those time periods—they're just amazed by watching their calendar fill up. That would’ve took them, you know, five or ten minutes or longer to go through, put all the dates in their calendar manually and so forth. It's automatically putting them in there. I mean, what's some of the initial reaction just on that?

[00:21:45] ListedKit AI:
Oh yeah. I mean, the first thing we built was you upload your contract and you watch Ava read it in front of you and pull all that information out. That itself was a huge aha moment for our users because they were like, oh my God, this is being done for me. This is great.

And then once your transaction is set up after that it's read, you just ask Ava, put the timeline on my calendar. And in a couple of seconds, she's created calendar events for everything with colors and descriptions. And I mean, it used to take—for that level of detail that she's doing—it used to take like 20 to 30 minutes to do, because it's, you know, 10–12 deadlines. In a couple seconds she's gone through and created all of it. You just hit approve and then it goes onto your calendar. Very, very positive response.

And we have a lot of our users using it every single day, putting events onto their calendar. Ava can manage those events moving forward too. You know, closing got delayed, don't worry, I'll update your calendar as well as your ListedKit account. We're trying to keep it almost invisible, but it mirrors what's happening to your calendar inside ListedKit as well.

[00:22:45] Tracy Hayes:
And you are able to actually speak to Ava. In other words, I've uploaded the contract, it's put all those dates in there, but now I got the inspector on the phone and they're saying, okay, we can be over there on Monday. Well, that's not on the contract, right? So am I able to just go, hey Ava, on the contract for 123 Main Street, we're gonna have the home inspector there 10:00 AM on Monday?

[00:23:10] ListedKit AI:
Right. So right now you can go into that property and then click the mic and talk to Ava. The only thing you have to do is click into the deal that you want to give Ava the information for. But again, if we start talking about where we're going, that's exactly where we want to be—that's where we get to—is just you send her a text message or like a simple chat message and she figures out which deal it is and then updates that accordingly.

[00:23:38] Tracy Hayes:
Now here on the loan side, obviously our technology comes in—you know, 99% of the customers are either clicking the link and filling out the app, it's coming in through our origination software. Then it goes into Encompass, one of the most popular products there, but that is automatically talking to our CRM.

So that customer—their date of birth, all the information that is relevant for us—for follow-up, email, date of birth, addresses—that is immediately going to our CRM. Is ListedKit—have you made that connection yet? That is immediately putting those people in the CRM?

[00:24:19] ListedKit AI:
We are connected with Follow Up Boss right now. We're working on expanding that integration list to other CRMs. But with Follow Up Boss, the minute you upload a deal, Ava recognizes, oh, you have these contacts in Follow Up Boss, and automatically pulls in their phone number, email, ready to communicate with them—whether it's in ListedKit or Follow Up Boss.

[00:24:42] Tracy Hayes:
Right.

[00:24:42] ListedKit AI:
We have that set up for one. We want to expand it to—I think there's Lofty and BoldTrail—I think there's a bunch of other CRMs that we want to go after.

[00:24:50] Tracy Hayes:
Yeah, let alone proprietary CRMs that some of them have created. Again, another step that the agent would want to do is adding all these people to their CRM. It's automatically doing it. Yes, it's automatically putting that in there. Because you know, there's a lot of times during the transaction there's somebody's birthday and you don't even know it because you're not really paying attention to it unless something comes up.

But if it's in the CRM, all of a sudden you're getting this, hey, it's so-and-so's birthday two weeks into the transaction—you know, great reason to call them and say hey.

[00:25:32] ListedKit AI:
That's a cool idea actually. I think I'm gonna have my team look into can we have Ava remind our users like this—your client's birthday today or in two weeks? That's a really good idea. I'm gonna note that down.

[00:25:43] Tracy Hayes:
Yeah. It happens probably 50% of the time. There's something that happens during one or two that somebody's got a birthday, and I've seen it come up or even—

[00:26:00] Tracy Hayes:
Shortly after they close or something like that. Anyway. Right. Alright. So that—I think that entering in the CRM is huge because again, talking with other—the data is your net worth, your network is your net worth. That is my—that's the phrase I keep using. And Jonathan Lickstein with Lofty gave me that one.

So obviously getting that information immediately into your CRM is important. Alright. Yes. So we've got the point now—we actually have a contract. We're good with it. You've already had uploaded it. Maybe let's make the play, let's run the scenario. You uploaded three offers, great weekend, got three offers. You chose option A. You tell Ava we're going with A. I assume you don't have to upload it again, it's already in there.

[00:26:42] ListedKit AI:
Right. Yeah, well, I mean, once it's signed, yes, you'll have it in there.

[00:26:45] Tracy Hayes:
Okay.

[00:26:46] ListedKit AI:
And then yeah.

[00:26:47] Tracy Hayes:
You're working to be able to say, hey, we're going with A and send it out for signatures.

[00:26:52] ListedKit AI:
Right, right.

[00:26:53] Tracy Hayes:
Okay, okay.

[00:26:54] ListedKit AI:
So in the meantime, you probably would have to get it signed and then give it to us again if you want to do that. Or you can just say, Ava read the offer and then later we'll have the signed version uploaded to ListedKit. It's up to you how you wanna do it. Typically, our users just get it signed and then give us the final signed version as the one to follow, because also between us wanting to confirm the offer and actually being signed by everybody, a day or two could pass and things change again.

[00:27:19] Tracy Hayes:
I imagine a lot of them are not uploading all their offers.

[00:27:22] ListedKit AI:
That's right.

[00:27:23] Tracy Hayes:
That'll come. They're probably already doing agreement and then they upload it to you so you get the signed agreement.

[00:27:28] ListedKit AI:
Yes.

[00:27:28] Tracy Hayes:
Alright. Scanning in there. Tell us what Ava's doing now.

[00:27:32] ListedKit AI:
Yep. So she'll pull the address, all the parties involved, any phone number, email in the contract, she'll pull that. If you have a CRM—if you have Follow Up Boss connected—she's pulling that information from there. She's building your contract timeline. Then she's mapping out, okay, in order to be compliant, here are all the documents we need. So she's also keeping eyes on compliance for you.

And then lastly, she comes up with a task list, either based on preferences you've given us in the past or based on your contract. So you don't need any setup to use ListedKit, but you can set up and customize Ava over time. So yeah, that all happens in about five minutes. And once those five minutes are done, our deal is ready to go, and you're ready to start communicating, managing your deal as you please.

[00:28:15] Tracy Hayes:
You're putting everybody in there—from the loan officers involved, the title company—everybody just like a transaction coordinator would.

[00:28:24] ListedKit AI:
Correct.

[00:28:24] Tracy Hayes:
You know, one thing I like about the transaction coordinators—or I wish there was—the real estate agents are on the contract, a lot of times the transaction coordinator is not. I just save their last email. I always leave it in my box because that way I can go right to it and say, oh yeah, you know, Brooks is on this thing, I send it, you know, reply to the email and say, hey, it's approved, loan hit a conditional approval.

So I'm always sending it out. This is putting in all that information. So am I able to leap forward here and assume that at any moment I could tell Ava to send an email to any one of the people who we've loaded their information into ListedKit?

[00:29:07] ListedKit AI:
Yes.

[00:29:09] Tracy Hayes:
Yeah.

[00:29:09] ListedKit AI:
Absolutely. And so once the deal is set up, you're in just in a chat with her now and your deal information's on the side. So you can chat with her about your deal. You can ask her to write an email to anybody you want, and she'll draft it. If she doesn't have their email address, she'll just ask you for it in the chat. So it's not even make or break if we have it initially. You can provide information as we go, and then it gets stored in ListedKit as we're learning new information from you about the deal as well.

[00:29:35] Tracy Hayes:
So you could be talking to Ava just like you would ChatGPT or Claude or any of those and say, hey, I need to draft an email. It needs to be professional. I need to explain to them that blah blah blah, and it'll take that transcript and put it into a professional email.

[00:29:53] ListedKit AI:
Yes. And pull any contract info that was needed from before and fill it out into your email as well.

[00:29:59] Tracy Hayes:
Right.

[00:30:00] ListedKit AI:
And then you can customize your signature and hit send directly from ListedKit, and it'll go out from your inbox as if you wrote it yourself manually in Gmail.

[00:30:10] Tracy Hayes:
So agent—they could be out on the road with the phone in their hand and tell Ava, I need to write this email. She'll do it. You look at it, say good, yeah, go ahead and send that Ava, and it's off.

[00:30:22] ListedKit AI:
Yes. I can actually be more confident with that because we have recently mobile optimized our app, so you can easily just go in and have her write it in the chat on your phone as well.

[00:30:34] Tracy Hayes:
Yeah, because that—I mean, go back to what we originally talked about. I mean, this is what these smart brokers are trying to do, is take the load off their agents so they are out prospecting or spending time actually with the client they're working with.

And the best real estate agents out there will tell you the more time they can really spend—I'm gonna share a Kavanaugh, what did she call it? The couch appointment—something like to sit on the couch with the clients. So you go look at a house, sit on the living room couch, and to spend that really quality time and listening to them because they are selling the house hopefully that's why they're sitting on the couch.

But they're also marketing and they're selling themselves as someone who's listening to them, and they're able to actually take their brain off this type of stuff that we're talking about—ListedKit is picking up—and spend that more quality time with it.

Alright. So we've got the timeline. What are some of your solo agents—give us some feedback that you're getting from your solo agents out there? And I imagine many of them are at different levels—some are brand new, some maybe have not done their first transaction yet, some are really busy that they're actually hitting that lid that I was talking about earlier and they're like, oh my God, I gotta do something.

So I imagine you're working with clients all in between those two spaces right there. What kind of feedback are they giving? And then have they actually taught you anything that you went and added here in the last year into ListedKit?

[00:32:06] ListedKit AI:
Yeah, that's a good question. So I think on the solo agent side, we've seen a lot of positive feedback around—obviously the contract reading is great, you know, it's super quick, gets the timeline built. They love the calendar integration because they live by their calendar, right? You put all your deadlines, all your tasks onto your calendar, then you just have Google Calendar open and you're on the go.

Our teams hitting volume have given us a lot of positive feedback on the templatization that we allow. So over time, if you like the work that Ava's doing—whether it's a good email or a task list she comes up with for you—you can ask her to save those as templates. And then over time we're setting up deals even faster where we're just following a simple rule set that obviously if a template has something that doesn't need, then Ava will point it out or remove it.

But we're following a strict list of work, and we're being able to do that across the board, across all 10–12 deals a month really easy, really quickly. So essentially the main thing we're doing as the agent is just uploading documents into ListedKit and then sending emails out. Everything else is being kind of automatically handled by Ava in the background.

[00:33:20] Tracy Hayes:
I'm pulling in everything here. Because it was about a year since Ava’s actually out there working with it. And the second part of the question—what are some of the agents' feedback that they gave you that actually implemented a new—

[00:33:38] ListedKit AI:
Yes, yes, I did. Actually, I skipped over that. So when we started a year ago, we just had the contract here and then you had to do everything yourself.

[00:33:47] Tracy Hayes:
Mm-hmm.

[00:33:47] ListedKit AI:
Right. Ava would read through it, set up a deal for you, but it was just like a task list. So our big push over the last couple of months has been building different tools for her—like drafting emails, doing compliance scans, checking for missing signatures, creating calendar events, a bunch of other stuff.

[00:34:03] ListedKit AI:
Feedback we got from agents, I think, has been across the board. We'll start with the biggest one—when she reads the contract in my state, she needs to follow this convention. Okay, we will update that. For example, in Florida, everything's business days. Just automatically apply that across the board. Don't let Ava use her judgment there. Sure, that's pretty simple.

Then on the writing emails piece and the actual outbound communication, we got some feedback of, Koran, Ava's too formal. She sounds like she's reading a textbook on real estate instead of writing like a human. Cool, updated her prompts to be a bit more human over time.

And also I think we've spent a lot of time curating—well actually improving—how fast the chat is. That was a big thing we heard was like, Koran, it takes very long to respond. That obviously just comes from how the old models used to be slower, and then over time as AI got better, Ava got faster too.

[00:34:57] Tracy Hayes:
Right.

[00:34:57] ListedKit AI:
And I think a big feature that came from our users was the Follow Up Boss CRM integration that even you mentioned. I think that was one of the first things you mentioned in this podcast is I've already given all of my contact information to my CRM. I don't wanna have to keep entering it again in ListedKit.

And then when I'm sending emails here, have to do the double work, because then I have to stop my car, open my computer, open up my CRM and copy-paste my emails and the list. I don't wanna do that. I just want it to automatically happen.

So those are some of—I mean, I think it's hard to pinpoint specifically what's been built on feedback because truly my job as the product manager on ListedKit and the product lead is everything we built comes from the customer. The only caveat is we don't listen necessarily for solution ideas—we go deeper into what problem is really hurting you the most right now. And then we come up with a different set of solutions.

So in a way, everything in our product has been from our users and their feedback. Again, not being in real estate, I really don't have many opinions on what—

[00:36:00] Tracy Hayes:
Well, it helps you prioritize.

[00:36:04] ListedKit AI:
Yes.

[00:36:04] Tracy Hayes:
I would imagine the feedback helps you prioritize where their pains are, and obviously, you know, they say one thing, but the way they're describing it actually means something else.

[00:36:16] ListedKit AI:
Yes, and best example for that is the client portal. People keep asking us for a client portal, and when I say they keep asking us, it's more like on a demo they'll ask me like, do you have a client portal?

And I explain that the old ListedKit had a client portal, but the biggest complaint we got was nobody would sign into that client portal. And we need all these other ways to update our clients.

So I, from that, realized, okay, they're coming asking for a client portal, but the problem they're facing is they want their clients to be up to date. So we built a very proactive emailing system so that Ava can keep emailing our clients on every deadline to keep them up to date.

We built a clean, nice summary of the transaction in a PDF that you can share with your clients so that they have something to physically hold onto. And we're working on the ability to text your clients so that your clients use their phone, they check their text—simple, invisible way to keep them up to date.

And that's kind of how the role has evolved—is we just listen to the feedback, we go deeper into the problem, and then we map out different solutions that we believe are more effective than maybe what we think the industry should be doing right now.

Does that make sense?

[00:37:31] Tracy Hayes:
Yes, it does. And the reason why I was looking down—I had to—an idea came to my head with your client portal.

So from a lending side, we have a company called Encino, and a lot of lenders use it. It's had different names, but Encino is actually the company behind it. So obviously we have compliance on our side, documents have to be sent out at a certain time, clients are uploading documents—you want a secure portal for that.

And you gave me an idea—how could a real estate agent, like with using ListedKit, could they link into the Encino portal? So when the clients are working with that lender, they are going to one portal for their loan stuff and their communication.

Because we communicate through that—if we need a document, we go into Encino, we say, hey, we need an updated bank statement. It sends the customer that email. The customer could just click on that link and upload their bank statement right into that.

[00:38:45] ListedKit AI:
Yeah, right—that would be really cool. I think that's kind of where we want to go too. I think the loan side of things is quite complicated and there's a lot of compliance there, so we've been kind of careful about getting into that experience.

[00:38:58] Tracy Hayes:
Yeah, I can see this from a security standpoint of what data can be seen. But brilliant minds—I think—because my—I say that because I could just see the first complaint going to be, I got a portal for my lender, I have a portal for my realtor.

[00:39:11] ListedKit AI:
Yeah.

[00:39:12] Tracy Hayes:
Yeah.

[00:39:13] ListedKit AI:
So—but that's what I'm saying—if Ava has an email that you can email and a phone number you can text, then your client can just provide all that information to Ava and then she can take the burden of distributing it to the lender, to the agent, to wherever it needs to go.

And I think that's kind of the experience we're trying to create—is an invisible workflow that's really powerful.

[00:39:33] Tracy Hayes:
If someone responds to that email—anyone responds to an email like that Ava creates—while Ava's connected to your emails, is she seeing those replies come in?

[00:39:42] ListedKit AI:
So as of April 7th, 2025, we don't have it live to everybody, but we are testing it with some of our design partner teams. Ava is able to monitor your inbox and pull in emails, pull in documents, and then manage them in ListedKit.

We plan on having that live to the world within the next couple of weeks to a month.

[00:40:09] Tracy Hayes:
So you can manage the specific emails that are going to that specific client. You could see them in your email box, but Ava's actually pulling them and putting them under that client. So you could go back—or even later, who knows if something was to happen—and say, here's all the emails that you and Sally Smith had on that address. They're all right here.

[00:40:29] ListedKit AI:
Yeah.

[00:40:30] Tracy Hayes:
Yeah.

[00:40:31] ListedKit AI:
Yeah, I mean, I think that's the perfect segue to actually the experience we want to be at, and that's what we're pushing for over the next couple of weeks.

We've built the ability for Ava to monitor your inbox. We've actually built form filling and e-sign internally that we're now testing with our users. We've given Ava a phone number so you can text her and she'll be able to text you.

And all of this is being packaged as the next Ava—Ava 2.0—or an agentic Ava. We're still working on the branding and positioning of it, but the idea is now Ava will have all of these tools that you typically are working in, in the back office work.

And we're switching her from how you'd have to chat with ChatGPT every day to move the needle to an automatic AI agent that wakes up every morning, figures out what needs to be done on every deal, and starts running through the work automatically.

[00:41:32] Tracy Hayes:
You said text messaging there for a minute, so let me play the scenario that you put in my head.

So I may be working with a client, maybe sitting at a closing sometimes, you know, we're sitting there—and Ava sends a message that, hey, so-and-so's appraisal's back or something, whatever.

So you wanna send an email out to the customer for whatever information you might have just gotten. You're sitting there, you could just text back, Ava, strike up an email telling the Smiths that their appraisal's back—or whatever the topic is—proof it, give me a sample for me to review. Boom. She texts back what she's gonna say. You say, okay. And boom, it's off.

[00:42:15] ListedKit AI:
That's the plan. That's the vision—text message, yes. That's the vision. The first version is gonna be more around just questions and answers to start.

But yes, that's exactly the vision of being able to review emails that need to go out just on the go really quickly and text Ava—hey, what's that lockbox number again? Wait, what's my next appointment today?

You know, just all of those questions and answers that need to be done, you can just text her. And then we want her to be able to remind you too—you know, 8:00 in the morning you get a text from her saying, here's your plan for the day. Let's start knocking these things out.

[00:42:46] Tracy Hayes:
Yeah.

[00:42:46] ListedKit AI:
All in a cohesive experience.

[00:42:48] Tracy Hayes:
Well, we're driving in our cars and you hit the thing and say, hey, text so-and-so, and you verbally give them the text and it sends it, right? I mean, that's the kind of conversation I imagine you envisioned having with Ava, like you said. Yes. Hey, where's my next appointment this afternoon? Hey, I just left that one. Where's my—you know, that type of having that kind of conversation.

Alright, let's change a little bit. I want to get some feedback. So we talked about solo agents and everything it's doing for them. And when you and I were talking about this and the topics that you brought over, now playing with a brokerage or maybe even a large team of several agents—what leverage it will give you.

And I know one of the challenges in this business—having talked to many agents, agents who have moved—I ask them why. Some brokers are out there trying to add whatever value they can because there's huge competition and the splits and so forth. So the broker's got to show value. That's the biggest thing.

A team leader or a broker—they have to show value why that agent is part of that brokerage or part of that team. And what are you getting—the brokerages that have picked this up or even the team leads that have picked this up—what kind of feedback are you getting from them and how they're leveraging it with their group?

[00:44:06] ListedKit AI:
Yeah, that's a good question. I think we've seen a recent explosion of teams adopting ListedKit. It's been really awesome to see.

The way we've kind of set it up—you can basically put your contract in and have a task list where each task is assigned to a different team member in five minutes, maybe seven minutes. Super quick. Communication is so easy through ListedKit.

Also, when multiple people are working on one deal or they are working across deals, they all each get an instance of Ava that they can chat with. So you're not waiting on somebody else to complete the work. We have easy ways to leave notes for each other and actually, in parallel, push Ava to move the deal forward all together.

And we've even seen a big influx of listing coordinators jumping onto the app. So they'll have a listing coordinator doing the listing side, and when it's time to go under contract, the transaction coordinator or the closing coordinator comes in and takes the deal over—all in just one system.

As we're building up these templates, these preferences across the team over time—

[00:45:10] Tracy Hayes:
You just said template—and actually it makes me go back to the previous question. We were talking about sending an email. Can you set up basically email templates that you've already approved for some of the standard things that you might send an email out to a client during the process just as an update?

Say, hey, Ava send the XYZ email out to the Smiths—and because you've already approved it, it's just putting their names in there and sending it.

[00:45:33] ListedKit AI:
Yeah. You can set up as many templates as you want with fields if you want to set those up. You can tell her which documents to attach. And we even have a “when should Ava use this” field where you just type in when she should use it.

Then when you're on the go, you can just say send EMD template or send EMD email, and she knows which template to use and just fills that out for you. And then it's ready to go. So super simple to set up and use.

[00:46:01] Tracy Hayes:
What have you found from the standpoint of the workload of the transaction coordinators—because going back to the brokerage or team play—they've spent money, they've got probably a lot of people handling many high-level agents.

And what have you seen in these situations—being able to leverage ListedKit and one person being able to do just that much more?

[00:46:32] ListedKit AI:
Yeah, I think we've seen—we have a bunch of case studies on our website about this—we've seen teams double their volume over a span of three to four months, and they do that without expanding the number of people on the team.

We've heard subjective feedback of agents using ListedKit saying clients have been reporting very positive experiences with their email communication as well.

And I know specifically one of our agents has worked with another agent on the other side before—that agent has mentioned, oh my God, your email communication is significantly improved so much, how are you doing it?

[00:47:11] Tracy Hayes:
Right.

[00:47:11] ListedKit AI:
And obviously our users try to keep playing it cool, saying, oh, you know, I'm just more organized now. But it's funny to see—people are sending more emails every single day.

Our metric has actually been very unique at ListedKit because it's not something you would do before in real estate, but the number of people chatting every day with Ava has increased. It was kind of low in the beginning as people were adopting it, and then it spiked where we have hundreds of users just chatting with Ava every single day, moving the needle on their deals.

And so we're seeing increases in adoption, transactions started, deals closed across the board as people are setting Ava up better and then using her more for their deal.

[00:47:59] Tracy Hayes:
Which is like any AI platform out there, right? You've got to dive in, and then when you realize there's this Ava there—and you gotta talk to Ava—and Ava does amazing things for you if you give her some attention.

[00:48:14] ListedKit AI:
Right. True. Because it was funny—our first few users would set up their deal and then they would see the chat and immediately run through the task list because that's what they were comfortable with.

And over time we built in simple systems of Ava reminding you and suggesting stuff in the chat. And then the user would finally get curious and say, okay, let's try it out once.

And then once they start chatting with Ava, they're hooked—and they're working through their deal, they're doing everything. And then we give people the ability to move Ava to the center of your screen.

[00:48:45] Tracy Hayes:
Mm-hmm.

[00:48:45] ListedKit AI:
And I've seen more and more of our users just start moving Ava to the center and just chatting with her every single day instead of doing things manually themselves. So it's been really awesome to see the adoption amongst our own users of Ava over time.

[00:48:58] Tracy Hayes:
Yeah. That is—that—well, I truly believe right now, as much as we see on the news—there was a great meme the other day—where there's a bunch of people in a conference room and they're just going “AI, AI, AI, AI,” right?

And no one really explaining—which is very typical in the real estate industry—they talk at 30,000 feet and not what actually is happening.

So what I call rubber meets the road—in this case, obviously we're talking about the contract and what it's able to do.

And obviously they have the trust, which is the next question that I had. Because you segued me nicely—the trust now just to go to Ava and watch her do all the things.

I'm sure they still keep a corner of the eye—they check to make sure she did it—because we're still amazed by the technology and how fast it's going.

So the trust question—leading into everything I just said—to rely on AI.

Actually, I'm gonna put a little story in here. I'll try to be as quick as possible. I have a lot of transcripts from many episodes and I'm writing a book that I mostly have done through ChatGPT. It's taken over a year because it's gotten better and better.

But I actually sent the manuscript to an author—a guy who has six books—he's well known. I said, hey, will you take a look at this manuscript and tell me what you think?

One of the things he said was, Tracy, you write really good for a C-grade—and I was not an English major.

What it was—it was me leveraging AI to be better. He's a six-million-dollar man—now I can write a book because I have it here and my transcripts and I can spill it into AI and it can help me look good.

[00:51:13] ListedKit AI:
Correct. Yep.

[00:51:14] Tracy Hayes:
Yeah.

[00:51:15] ListedKit AI:
It literally cuts down the time from idea to action. And that's what we've always been about in the professional workforce—we want to be able to go act on our cool ideas. And AI is empowering us to do that.

On the trust piece for ListedKit, I think there's two angles to it. One—can I trust Ava to do what she says she's gonna do? And the other angle is—what about my data?

So we'll talk about the first—yeah, when you first start using ListedKit, Ava's gonna ask you for approval on everything—creating tasks, drafting emails, sending those emails, moving deadlines around.

And the idea is over time, as you start to trust her more, you can adjust your level of approval so she becomes more autonomous.

As of today, she still asks for approval on pretty much everything, so you can trust her to wait and not just go ahead and do something.

We're building in an approval system pretty soon as well.

On the data side—we don't have a model internally that we train our AI on. We use the big guys—a combination of the most common providers.

Our specialization is how we prompt our AI to work with Ava—to become Ava—and that's been through hundreds of conversations with agents and TCs to understand not just how the laws work, but what's the special sauce in being a good TC, a good agent. And that's what we give to Ava.

[00:53:02] Tracy Hayes:
I would record those conversations and give it to her directly—just my advice.

[00:53:08] ListedKit AI:
I mean, we wanna build a transcripting service where you can record your conversations with your clients, but typically—we do ask for permission and then summarize those transcripts to come up with rules on how Ava should behave.

[00:53:26] Tracy Hayes:
Yeah. A couple of people I want to introduce you to—they're doing that—recording conversations to create better marketing and communication.

[00:53:50] ListedKit AI:
Right. But that's actually how we got the “babysitting” word—we got that from a bunch of team leads and brokers saying, oh my God, I'm so tired of having to babysit every deal.

[00:54:00] Tracy Hayes:
Mm-hmm.

[00:54:07] ListedKit AI:
Because the agents are on the go. I'm on the go. The TCs are overwhelmed. I don't wanna have to babysit all these deals. I wish there was a way for something to actually keep that all together.

And so we heard that across a couple of team leads and we were like, okay, let's experiment with that. And then that's kind of how we adjusted our marketing strategy as well.

[00:54:26] Tracy Hayes:
Now, I've never—I don't know, maybe because it's in their existing system—but let's just say for example, I'm a team lead. I've got 30 agents working. So I've got a couple of operations people that are using ListedKit.

Can I, as a team lead, see all the transactions that might be going on at one time in one place in ListedKit? Can I go in and talk to Ava or just get information from Ava?

[00:54:56] ListedKit AI:
We have a dashboard where if you're a team leader or you're the owner of the account, you can see every single deal and where it's at and jump into any one and chat with Ava and ask questions about each deal all in one place.

And that's kind of also a big push we've been making, is to make that even better for our team leads over time. So that's a big priority of ours moving forward.

[00:55:20] Tracy Hayes:
Cool. Cool. Alright, let's—so we've uploaded our—because we want to go back and make sure everyone sees this full picture.

I guess obviously you guys are always improving because you want to—and I don't know if at any point it'll be completely done because we know every transaction changes.

What are some things—some gaps I guess you would say—that you guys are investigating on how to fill right now? Is there anything right now that sticks out to you that happens during a transaction that you haven't quite solved yet, but obviously your team's working on trying to figure out how to—

[00:55:53] ListedKit AI:
Right. Yeah. There's a pretty big gap between where we are and where we want to go, and we're trying to jump directly there by May 1st ideally with Agentic Ava.

The big gap is she doesn't wake up on her own and do work autonomously. So we're gonna switch the engine that powers her so that she can wake up and start—anytime an email comes in, she doesn't just wait for you to approve it—she just takes it, runs with it, updates the transaction, keeps working.

Wakes up in the morning, figures out what needs to be done for every deal, and starts doing it.

We know that forms need to be filled and sent for signature as part of the transaction work. We're giving her those tools as well.

And we want her to be able to text people, because agents on the fly just want to send a quick text or ask a question.

So all of these together will be launched as a new experience called Agentic Ava—ideally live by May 1st if testing goes smoothly—where now you just give her the contract, you train her like you would train an assistant, give her your templates, give her your preferences, and then she just goes.

And then you'll be able to—with the approval system—decide what she stops and asks you about versus what she just handles herself.

[00:57:21] Tracy Hayes:
Well, I guess from a standpoint of the solo agent—this could—because as you know in this industry, we've used virtual assistants.

This is filling that gap. This is having that virtual assistant transaction coordinator working with you. So allowing a solo agent who may have been tapped out at X amount of deals might be able to do 2x deals before maybe now I actually need to hire a human.

So it's gonna extend that timeline—but not to put transaction coordinators out of business.

Are you seeing more transaction coordinators actually grabbing this and leveraging themselves to double their deals?

[00:58:13] ListedKit AI:
Yeah, so there's a big gap where a solo agent starts feeling tapped out but still can't afford a VA or TC.

Let's say it's three deals a month—too much paperwork—but not enough volume to justify hiring someone.

We want to bridge that gap and help you scale to where hiring a TC becomes comfortable.

And maybe you don't need multiple TCs—you just need one overseeing everything.

And on the TC side, they're absolutely killing it. They're setting up templates and doubling—even tripling—their deal volume within weeks.

[00:59:14] Tracy Hayes:
And they're probably hooking onto Ava really fast because they're doing that many more deals.

[00:59:20] ListedKit AI:
Oh yeah.

[00:59:20] Tracy Hayes:
They're going, oh wow—she can do this—let's go.

[00:59:23] ListedKit AI:
Yeah, it makes a TC into a super TC.

We want to see the first TC close 1,000 deals in a month. That would be Guinness Book level.

[00:59:54] Tracy Hayes:
That's a lot of deals.

Before getting—obviously we want to finish up with pricing and how people get started—anything else we should have talked about?

[01:00:13] ListedKit AI:
No, I think we covered it—what Ava does, how easy it is to put a contract in, and the upcoming Agentic Ava.

If you visit our website, you’ll see the current product and can sign up for the waitlist for Agentic Ava.

[01:00:41] Tracy Hayes:
I want—if you could—from the AI world—we hear this term “agentic” all the time. Explain what that means.

[01:00:49] ListedKit AI:
The difference between an agent AI and something like ChatGPT is—you have to keep prompting ChatGPT.

An agent AI wakes up, has tools like e-sign, email drafting, document reading, and just figures out what to do automatically.

It also knows when to stop and ask for help.

[01:01:35] Tracy Hayes:
Just like a human transaction coordinator would.

[01:01:47] ListedKit AI:
Correct. It behaves more human-like—wakes up, figures out what to do, and runs the deals.

[01:01:54] Tracy Hayes:
Alright—anything else before pricing?

[01:02:00]

I hope if you don’t have enough interest right now to go to the website and check this out—I don’t know what to do for you.

Because I will tell you this—if someone just says “AI,” walk away.

If they’re not explaining what it actually does for you—walk away.

[01:02:34] ListedKit AI:
Don't—that's a good idea. In my opinion, we need—everyone likes to take hype words but not figure out what to do. So we've been really trying to make sure when we put AI on our website, we have a clear map of what it does for you.

[01:02:47] Tracy Hayes:
Mm-hmm. Well, that's why I wanted you to define agentic. And when you say, hey, the agent AI version of Ava is coming out—Ava is your virtual transaction coordinator. And now it gets into—obviously the transaction coordinators today, a lot of them are pay-for-play, which, you know, there's several hundreds of dollars, which to me it's still great because they help you grow your business.

And anyone that's grown their business to levels twice of what the average agent's doing all have someone that they're leveraging to take that time away. Ava's here to do that.

Talk to us about pricing. What's this cost per transaction or—I imagine you've got it dialed in. How does it work?

[01:03:29] ListedKit AI:
Yeah. So your first transaction is free. When you upload your contract, you can set up a deal and run through it entirely with Ava's help, and we will not interrupt you at any point.

Then moving forward, you can purchase credits. For a credit, you get an entire deal with that credit, and you get charged upon starting the deal. So our credits basically cover you for all of Ava's help and all of the work you're doing for that entire deal. And it costs $9.99 a credit.

If you start at the listing phase and you do all your listing work and then you go under contract with your purchase agreement or the signed offer, it will be two credits, because we count it as two different deals you're working. So in that case, you would be spending two credits or $19.98.

[01:04:17] Tracy Hayes:
For $10 or $20—I mean—even if it was $50 a credit, I can see—maybe you might not see it right now—but when the agent AI comes out, I guarantee it'd be worth $50 a credit.

[01:04:28] ListedKit AI:
We are planning on restructuring our pricing with the agentic Ava. But if you sign up between today—April 7th, 2026—and whenever agentic Ava releases, this is the pricing you'll see live.

And then also you can buy credits in bulk. And as you buy them in bigger bundles, we discount them all the way up to 60%. And at that, you're getting each credit for $4. And our credits never expire.

So you can just buy a bunch of credits, put it in your bank, and then use them for the year. Nobody's gonna bother you about seat-based pricing or anything like that. We allow you to invite as many people as you want. The only thing we charge is when you're starting a deal—give us a credit.

[01:05:12] Tracy Hayes:
Well, the fact that you're doing the first one for free says a lot. It makes it a no-brainer to try this.

[01:05:21] ListedKit AI:
Yes.

[01:05:22] Tracy Hayes:
Try it out, see what it's like. Obviously it takes a few transactions to really get the groove of how to leverage it.

[01:05:35] ListedKit AI:
Then we want Ava to take the buck and do it for you at that point.

[01:05:40] Tracy Hayes:
I mean, it's a no-brainer. I want to share this with everyone I know. For $10 a transaction—you’re going to leverage a lot of time.

What would you estimate—how many hours does it save an agent on a typical transaction?

[01:06:32] ListedKit AI:
It's hard to say exactly, but anywhere between 10 to 30 hours depending on how complicated the transaction is.

[01:06:39] Tracy Hayes:
Wow—10 to 30 hours.

[01:06:40] ListedKit AI:
Yeah. Reading the contract and setting everything up alone could take an hour or two. And every email takes time—especially complex ones. But now Ava reads everything and puts it into an email instantly.

[01:07:01] Tracy Hayes:
And your communication improves too—because now you're actually sending the emails consistently.

Does Ava remind you to send emails?

[01:07:20] ListedKit AI:
Yeah, she does. She sends email reminders, reminds you in the chat, and can even prepare emails automatically—you just approve and send.

[01:07:30] Tracy Hayes:
That reminder alone is priceless. Especially for agents juggling everything.

[01:08:03] ListedKit AI:
We're focused on building a great solution first. Pricing will evolve as the product evolves.

[01:08:14] Tracy Hayes:
Alright—so people can book demos?

[01:08:18] ListedKit AI:
Yes. Go to listedkit.com—that's L-I-S-T-E-D-K-I-T dot com—and click the big yellow “Book a Demo” button.

[01:08:36] Tracy Hayes:
Yep, I see it right here.

[01:08:44] ListedKit AI:
Also check out the customer stories—real users, agents, TCs, teams. Or just hit “Try Free” and upload a contract.

[01:09:12] Tracy Hayes:
One last thing—compliance. What is Ava checking when scanning contracts?

[01:09:30] ListedKit AI:
Ava identifies the state, reads the contract like a human, and extracts key information.

For compliance, you can give Ava your brokerage checklist. She scans documents for missing signatures, missing info, mismatched values—like EMD discrepancies—and flags issues with suggestions.

And soon, she'll send documents for e-sign directly.

[01:10:55] Tracy Hayes:
What about handwritten or unusual clauses?

[01:11:03] ListedKit AI:
If handwriting is illegible, Ava flags it. But she does not give legal advice—that would be stepping into attorney territory.

[01:11:49] Tracy Hayes:
Right—that still goes to the broker.

[01:12:47] ListedKit AI:
Exactly.

[01:12:47] Tracy Hayes:
This is awesome. I'm excited for you guys.

Everyone—check the link in the show notes: listedkit.com. Try it—it’s free to start.

Run it side-by-side with your process and see how it helps.

[01:13:49] ListedKit AI:
Mm-hmm.

[01:13:50] Tracy Hayes:
Alright, appreciate you coming on.

[01:13:53] ListedKit AI:
Thank you everybody. Thank you Tracy.