The Group Dentistry Now Show: The Voice of the DSO Industry

Ranked the #1 DSO Podcast!

Welcome to The Group Dentistry Now Show: The Voice of the DSO Industry!

Sam Schwager, Co-founder & CEO, and David Khaydatov, Enterprise Account Executive at SuperDial, sit down with GDN in New York City to discuss dental RCM and the future of AI. The SuperDial team shares their thoughts on:

The founding & development of SuperDial
Merging AI with human expertise in RCM
The future of dental RCM
Much more

To schedule a demo or to learn more about SuperDial’s dental RCM AI solution visit https://www.superdial.com/

You can also reach out to David Khaydatov via email at [email protected] or on Linkedin at https://www.linkedin.com/in/david-khaydatov-857387b8/

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SuperDial RCM AI DSO podcast transcript:

Welcome to the Group Dentistry Now Show, the voice of the DSO industry. Join us as we talk with industry leaders about their challenges, successes, and the future of group dentistry. With over 200 episodes and listeners in over 100 countries, we’re proud to be ranked the number one DSO podcast. For the latest DSO news, analysis, and events, and to subscribe to our DSO Weekly e-newsletter, visit GroupDentistryNow.com. We hope you enjoyed today’s show.

Bill Neumann: Welcome to the Group Dentistry Now Show. We are live in New York City. We’re going to be spending some time… I’m Bill Neumann, by the way. Thank you all for watching us. And if you’re listening, you heard I just said we’re live in New York City, so you’re going to want to come and jump on the videos to go to our YouTube channel or groupdentistrynow.com. You can listen to the podcast, but make sure you actually jump over and watch the video afterward because Superdial has been nice enough to invite us out to their corporate digs here and get to spend some time with the CEO and co-founder and probably one of the gentlemen that you’ll see at a lot of the DSO shows and dental events. So we have David Haidetoff here. He is account executive focused pretty much on DSOs, but you work with a lot of emerging groups and solo practices. So thank you, David. We had a chance to meet Gosh, I guess it was about a month or so ago in San Antonio at Heidi Arendt’s event and had a great conversation about AI and what Superdial is doing when it comes to revenue cycle management. And Sam Schweiger, he is the co-founder and CEO of the company. So it’s great to spend some time with you both. Thanks for having me here, Bill. Let’s start with you, Sam, a little bit about your background, co-founder and CEO of Superdial. Tell me a little bit about how you got here, how you developed Superdial, and you have a background in, you were at Stanford for a while, you got your master’s there.

Sam Schwager: That’s right. I did my undergrad and master’s studies at Stanford. Master’s was in computer science with an AI specialization. So I got to experience some of the smaller versions of these language models that we know and love today, especially here at Superdial. These were kind of models like BERT, still based on the underlying transformer-based architecture, which came out back in 2017 from Google. But really got exposure to the power of these models and kind of some insights as to what was to come. And I teamed up with Harrison Carruthers, co-founder and CTO of Superdial. He was a software engineer at Amazon. I was at McKinsey at the time. And we started building initially in digital mental health and ended up building a kind of tech first RCM company called Superbill that was focused on streamlining insurance reimbursement for specialty services, especially therapy and behavioral health services, as well as dietetics and physical therapy and other services of that kind. So as Superbill, we raised some seed capital and scaled up our operation, but ran into an administrative snafu in the form of needing to call payers incessantly check patient benefits and follow up on claims. So we had a team that was handling that. And the bigger we got, the more of those calls we had to make. So it was later, 2022, we kind of got the idea, given our AI backgrounds, to apply some of the latest and greatest LLMs to automating these calls. We thought, oh, it must be pretty straightforward to do that. It’ll just work out of the box. And to our chagrin, it was not. As you see in processes, we thought it was actually extremely difficult to package them up and actually get through a 30-minute plus call and to end with AI, but it was possible. So we realized pretty quickly it would take full focus. There would need to be a company that was entirely dedicated to automating these phone calls, but it was finally the right time to do that. So we had a bunch of conversations with folks on the medical RCM side, conferences like the Healthcare Financial Management Association, HFMA, conferences, as well as folks in the dental space, in particular the DSO space at events such as DICOM, of course, where we met a lot of luminaries in the space and folks who are really excited about the application of AI to RCM. and interested in what we were doing. So we officially discontinued our billing operation later in 2023 and switched over to fully focusing on Superdial. And we’ve really never looked back and have grown extremely quickly to have forged it. partner with amazing organizations that have already seen enormous benefit automating these phone calls for use cases like benefits, fabrication, claim follow-up, prior auth, credentialing, and enrollment. Just really a critical part of applying AI to RCM and increasing efficiency across the board. So very excited about where we are today.

Bill Neumann: Excellent. You made a big pivot. Yeah. David Hajdatov, you are no stranger to dental. So let’s, again, some people might know you from some of the recent DSO meetings, but you’ve been involved in the industry since you were a kid, technically, right?

David Khaydtov: Yeah, I’ve been lurking about for a little bit in the dental space. So yeah, so my father actually has a dental IT company out in Long Island. So growing up around that, I was no stranger to the greater New York Dental Conference over at the Javits Center. To me, that was like Comic-Con. as a kid, so I knew who Henry Schein was when I was six years old. And then in terms of my career, I’ve been fortunate enough to work not only in the IT space, but also for some of the most respected and well-known startups in dental and in healthcare, like Quip, Evenly, PatientPop, and Deborah. I was actually the top rep for PatientPop in 2023. So background mainly in medical and dental, but I also was, you know, part of a founding team for another voice AI company in 2024. So kind of all that experience bundled together, you know, just made the option to join the mission at Superdial just, you know, very, very clear to me. And it’s been a great, great journey ever since.

Bill Neumann: Yeah, excellent. You talked a little bit about the origin story of Superdial, how it really was born out of another company. Maybe walk us through, again, you went through this transformation as an organization. What feedback did you get from, whether it’s dental or healthcare customers that really made you make this big pivot? I mean, it was a pretty big pivot. A lot of companies would have just said, we’re gonna just stick with the way we’re doing things, or we’re not gonna do it anymore. We’re here to move on to do something else.

Sam Schwager: Yeah, I mean, we were really spurred on by how painful this process was internally for our company. And the conversations that we had at these events with folks, going as far back to Dyke in about 2023, where we met some really interesting folks who were excited about AI and thinking in a very forward-looking way, which was really an incredible aspect of getting into the DSO dental community. Folks like Paul Bernard, who’s chief product officer at Vine Dental. He’s an official advisor to our company, actually. But it was really conversations with people like him that inspired us to really continue pushing forward and building this technology that would have enormous benefit to the industry. We’re happy we did, and I hope our customers are as well. I think all of the hard work and dedication has been paying off, and we’ve been growing a lot and recently raised our Series A, actually, from Secret of Fire. They recently announced a billion-dollar fund focused on vertical AI. We’re one of the first investments out of that fund. And they have very deep roots in healthcare and revenue cycle management as well. So, you know, it really, it means a lot to have, you know, backing from a firm like that. And with this, you know, fresh capital, we’ve been hiring a lot, growing our team and, you know, really doubling down on product engineering.

Bill Neumann: There’s huge focus on revenue cycle management in the DSO space in the dental industry. And again, I can look back two, three, four years. This is a relatively new phenomenon as far as there’s always been revenue cycle management. But the focus on it is, I think, relatively new. And a lot of that is We were early on in the infancy of the DSOs as we scale, and they’ve been around for a while. DSOs have been around for, some have been around for 40 years now. But really the consolidation started to ramp up, I’d say about 10 years ago, and interest rates were low. And so it was very acquisition focused. A lot of these models were built on, hey, we’ve got a great business development team. We’re going to go out there and find the right practices to acquire, money’s cheap, maybe over, spent for some of the practices that they had. They were buying practices that maybe didn’t have the best RCM, right? So they brought them into the organization or maybe they scaled up too quickly and didn’t have a really well-developed RCM department. So I think there’s a great focus on revenue cycle management now. I don’t know if people are executing, people, DSOs are executing on it really, really well. So I think they’re looking for solutions. And your traditional RCM is run by people, right? You’ve got, you have to have, and it could be your own employees, or you maybe are offshoring in some cases where you’re using individuals working for another organization to come in and fill those gaps. So you’re really bringing now AI into the mix. So what part of revenue cycle management are you handling, or Superdial, what are you handling? Or is it different parts? All of it. All of it.

David Khaydtov: The entire revenue cycle. So with one appointment at a dental office, that can be the benefits check, It could be possible pre-auth, prior-auth, and then it could be a series of claim status follow-up calls after the appointment is completed. That could be two and a half hours of just human labor time on the phone. It’s no small number, right? And then you extrapolate that X. thousands of patients, X hundreds of locations, X number of FTEs, and that’s well within millions and millions of dollars being spent just handling on the labor cost side of RCM, not even getting into the actual collections and AR part, and it only goes up from there.

Bill Neumann: Yeah. See, focused on RCM, you saw the opportunity. I think a lot of, and again, this is another thing. So we talked about RCM being a big focus. AI is a big focus with a lot of the people in the audience, the DSOs, the emerging groups. Everybody wants to leverage AI. If we leverage AI, it’s going to It’s going to save us a lot of money. We might have HR issues where we can’t fill spots where AI can possibly come in. But a lot of the AI I see in the industry is not necessarily RCM focused. It’s more taking patient calls, somebody’s calling in for scheduling, things like that. You decided to focus on RCM and it sounds like you’re focusing on the entire revenue cycle. So that’s pretty interesting. I’ve seen some solutions that maybe focus on certain parts of it, but isn’t a complete solution. Talk a little bit about the decision to really focus on healthcare.

Sam Schwager: Certainly. Well, we obviously got our start building in healthcare and it was what we knew, but what inspired us in the first place to get into RCM and the administrative side of healthcare was really just the amount of inefficiency and waste currently. prevalent in the system at this point. 25% of the national health expenditure, which NHE is well beyond $5 trillion, 25% of that ends up being actually past $1.2 trillion. That’s spent on administrative tasks. So RCM is a big part of that. And, you know, the idea that 25 cents on the dollar when you go see the doctor, you know, get a procedure done, you know, at a hospital or health system, the idea, or the office, the idea that 25 cents on the dollar is going to administrative work behind the scenes that’s not part of the care delivery process directly is to us, you know, kind of shocking. And, you know, the idea that, you know, now AI can come in and, you know, handle some of these, you know, more repetitive, tedious tasks to kind of chip away at that number and make the system more efficient and more affordable, especially for patients, is really exciting. It does. And it kind of gets us motivated every day to continue trying to move the ball forward here.

David Khaydtov: I actually have a very fun story from a job I had, which I’m not sure I ever shared with you, Sam, but basically my first job out of college. So my major was in psychology and cognitive science at Buffalo, and I was doing pre-med, pre-psych PhD work. I was at the Rhode Island Hospital affiliated with Brown. And one of my many tasks was I was sitting in a room and I was having to call in on the insurances for patients that were being admitted and get them, I’m guessing, which is now, you know, be obese. And I was thinking at the time, I was like, I can’t wait for this one day to not be like a real process because it was so cumbersome to, like, you know, wait on the phone for hours and hours and, you know, having to coordinate different plans and then get this and that and this. So, you know, 10 years later and it’s like, you know kind of working on you know, solving what was once my you know job after college So it’s yeah, it’s very real.

Bill Neumann: So speaking of solving these these issues for for customers You’re having conversations every day with DSO leaders, but also maybe smaller groups, right? Dr. Own, Dr. Lead Emerging dental groups. What kind of feedback are you getting? What kind of concerns or challenges are they having with RCM right now and how is Superdial really able to help them?

David Khaydtov: Yeah, yeah. I mean, there’s so many challenges, right? I mean, if you look at, let’s say, a high cost of living city, right? Hiring good talent, hiring, you know, affordable, you know, employees to have in the office that are working as part of the admin or the billing team is becoming an almost insurmountable task. So definitely, we’re seeing that pain point, you know, from the DSO level all the way down to the single office level. I can give one sort of context point on a wonderful customer of ours, West Coast Dental and Orthodontics based out of California. They have 60 plus locations. They’ve been using Superdoll for over a year now at this point. And we just did a very incredible case study with them out in California. And they mentioned that they had 70,000 claims sitting in their backlog bill. So 70,000 claims for which they had no idea what the status of what was going on. It was just like, you know, huge, huge, you know, burden. And they were able to get through that using Superdial. And not only did it, you know, shrink their AR days or total AR days significantly, but, you know, it was also something that they would have needed five full-time employees to handle the workload of. Right. So when you can imagine like, you know, you’re giving a solution to these DSOs that are seeing issues from payers, they’re seeing issues from the hiring and labor markets, and we’re kind of solving both at the same time, also reducing costs while also boosting productivity. That’s a pretty warm reception I’m getting from a lot of the DSO people.

Bill Neumann: And this is a case study that you have on your website.

David Khaydtov: Yeah, it’s on our website, LinkedIn, YouTube.

Bill Neumann: Great. We’ll link to it in the show notes so the audience will have access to that. I’m kind of curious, so they have 60 locations, right? So that’s a pretty big group. So what kind of data is Superdial providing back to the DSO at the top level? Because that’s another, they love their data, right? They want to be able to analyze everything and see if one practice is maybe doing something better with RCM than another. Can you talk a little bit about the data that you’re able to provide back to the DSOs so they can get a feel for what’s going on with their RCM?

David Khaydtov: This is a really one of my favorite parts about Superdial. So they do what is called a forward deployed engineering model for integrations. This is like a very popular sort of job title right now in Silicon Valley, the forward deployed model. And it’s made popularized by some massive companies like Palantir, for example, that I’m sure folks have heard of. But essentially what it means is, because every single customer, whether you’re a DSO or not, has a different, what we call an SOP, or a standard operating procedure, and a script that they associate with their claims. Like for one office, you might have one script for how you verify oral surgery appointments, one script for claim statuses, one script for general appointments. So every single data point that we send back is a amalgamation of the custom script that we get from our customers and their SOPs. And then the PMS systems, which by the way, we play well with all of them, like Denicon, Open Dental, Ascend, et cetera. And we do the forward deployed model that makes a custom tie back for each script and use case with the customer’s PMS. So in short, they’re getting whatever data they need that is indicated in a factor of the script that they’re using us to deploy. So whatever data they would get from the phone call that their human agents would type into their PMS, they’re getting the same result and the same experience with Superdial.

Sam Schwager: It’s also worth noting we have a centralized interface, a portal that has aggregated statistics across all of your locations. So if you have a centralized billing team that’s serving all these locations, they can operate out of the same portal to see how many calls have been completed and see against each script what performance has looked like. provide transcripts and things like this as well that help them get into the details of what’s going on on these calls. But yes, in terms of kind of higher level visibility for DSOs into what’s happening in the revenue cycle across locations, our setup is perfect to accommodate that level of transparency. Excellent.

Bill Neumann: A question that I think is important, too, is how easy is it to onboard Superdial? So we may be using people right now, so we’re moving, it could be a big change, right? We’re going from, no, we’re not just replacing a person, we’re replacing a technology. Can you talk a little bit about the transition and how you can help a DSO make that transition?

Sam Schwager: Certainly. Yeah, I think the fact that we have at Superdial our own human fallback team that, you know, again, as an RCM company, we we had a human team making these calls initially. So our goal was really to leverage AI to make that human team as efficient as possible internally. So human agent teaming, we call it, has been built into our DNA since day one. But point being, since we have this, you know, human fallback, and then we also have the AI agent. Once we’ve configured your script under whatever SOP you provide to us, you can give us a Word doc, a PDF, an Excel file with whatever your team currently works off of, we will load that in to the Superdial portal, generate a script or multiple scripts if you’re using Superdial for multiple use cases. The second that that exists in our portal, we are ready to start placing your calls and our AI will just get better as it places more and more of your calls. So it’s not like a training period is required initially in order to start conducting these transactions. We’re good to go from the start. Now that said, many customers want to run some test calls up front. We’re happy to do some free trialing with folks and they can kind of see Superdial in action and get a sense for how the data feels kind of going in and out and what the format looks like and all of that. Yeah, we are able to deliver value from day one, which I think is a big differentiator of our solution and our model.

Bill Neumann: Well, you mentioned this, where you’ve got these calls that you’ve been making, and you store this information, so now you can go back and kind of look back. How many calls has Superdial made over the history of the organization?

Sam Schwager: Oh, gosh, we’re well past a million calls at this point. So it’s pretty amazing the level of scale that we’ve achieved in such a short period of time. you know, there have been a lot of, there’s been a lot of really, you know, incredible engineering in order to accommodate that level of scale. And fortunately we have, you know, folks like one of our, you know, longest standing engineers internally had, you know, over 20 years experience from companies, you know, top tier companies like TripActions, I guess now Navon. So, you know, very, very strong team that’s been able to accommodate this level of scale and volume. And it’s amazing how far we’ve come.

Bill Neumann: Yeah, let’s talk a little bit about that. Certainly technical challenges, there’s a lot of moving parts with what you’re doing. Just tell everybody, you mentioned like the deep bench that you have, right? So that’s certainly encouraging. Talk a little bit about some of the technical challenges and how Superdials overcome them.

Sam Schwager: Sure. So, I mean, scale really is part of it for sure. I mean, you only have so many hours in the day and we have a lot of calls to complete. So, you’re running a great number of calls, many hundreds of calls, if not pushing into the thousands in parallel. So, of course, you know, the distributed system that you need to maintain and build in order to accommodate that level of parallelism is quite complex. And yeah, we have the right team, it turns out, to build against that sort of scale. Even things like, you know, some of the, you know, workflow requirements around these calls, such as phone tree navigation or properly surviving a transfer on one of these calls or getting through a hold time, this is all, you know, very nuanced. You can’t just do something like map the phone tree explicitly once and then profit from that mapping moving forward. One, that makes it hard to add new trees and two, these trees are somewhat dynamic. They do get changed. So, you need a system that’s more generalizable, less brutal. And this is part of why we acquired Major Boost earlier this year. They had built a system to navigate payer phone trees. win on hold and then patch in a human rep. Once a human at the pair connects, we as Superdial, of course, take that a step farther. Our AI conducts the full conversation and only loops into human if required. But their technology was very complementary to what we built. So that’s been quite beneficial to us. And then, yeah, a lot of the really interesting work that we get to do now is, as mentioned, I’ve done well past a million calls at this point. So that’s a great deal of data concentrated across a select few use cases. So again, benefits, prior auth claims, credentialing, enrollment, those are the primary use cases for for Superdial. The fact that we have so many examples of successful calls against those use cases means that we can build a lot of interesting retrieval, augmented generation pipelines, perform dynamic and context learning on calls to make use of this data from previous successes. And now getting into fine-tuning some of these open source models even that really can lead to improved performance and, you know, kind of differentiate our offering even further. Excellent.

Bill Neumann: Let’s talk a little bit about some of the, again, there’s a little bit of AI overload in the industry, everywhere, but in the industry, I think it can be kind of, can be challenging for DSOs and the decision makers of the groups to really kind of figure out, you know, who to use and what makes sense and is the right time for us to use AI. Keith, maybe tell a little bit about your uniqueness and how you compare to some of the other startups that exist in the market.

David Khaydtov: Yeah, I think the fact that the Superdial team comes with such a deep domain expertise in the RCM space really sets them apart from any kind of other solution out there. And just from what I’ve seen, you know, in terms of customer satisfaction and the work that they’ve been able to do, Um, you know, it really is special and going back to the human fallback team, you know, there’s been so many instances and there’s, you know, at this point it’s, it’s been a, you know, something that’s almost hackneyed at this stage. But, you know, my LinkedIn is just filled with folks talking about, you know, how to get enterprises using AI, how to escape, you know, pilot purgatory, because you might come across a, you know, AI tool or, you know, solution. and you get very excited about it, but for whatever reason, it just doesn’t quite cover, you know, the entire spectrum of the task that you’re looking to offset, whether it’s a, you know, a human team that you currently employ that’s doing that task or a previous, you know, non-agentic software solution. And the Superdial, you know, approach is just so elegant in that an enterprise healthcare org can literally have, you know, delivered value on day one of their contract with us, because any of these RCM calls for which they’re entrusting us to handle, right, these outbound, you know, payer calls that we’re making, they will get back guaranteed results on each and every call. Because if for whatever reason, you know, the AI voice agent doesn’t complete the script fully, our human fallback team steps in and gathers the remaining information. So as a DSO, as a mom-and-pop dental shop, whatever the customer is, you’re sleeping well at night because if that crucial mission-critical VOB call for somebody that’s going to be in the chair in two hours, you know, gets triggered with SuperDAO, it’ll be in your PMS before the appointment begins, whether the AI, you know, falters or not. So I think that’s something that, you know, I would say really makes it, you know, as somebody who’s demoing these, you know, DSO people, you know, all day, every day, that’s been a real unique identifier of SuperDAO amongst other solutions I’ve seen in the space.

Bill Neumann: The domain expertise, I think, is super important. I mean, it really is. your team is growing as well, right? So let’s talk a lot about who’s building the product right now. And as AI continues to just, it seems like the speed of AI, everything’s accelerated. Technology just moves faster and faster. So you really have to stay cutting edge. Talk a little bit about the team that you have. And it sounds, I know you’ve been hiring some people as of late.

Sam Schwager: Yes. Product and Eng is led by my co-founder, Superdell CTO, Harrison Crothers. He has an outstanding team of developers, primarily based in the San Francisco Bay Area. We have been really fortunate to attract talent from, again, top-tier organizations like Thinkmon, I mentioned, but also a litany of other organizations that are at the top of the healthcare industry, health tech industry, as well as just some very large technology companies like Amazon, where my co-founder was previously. This team is outstanding and attracted even additional outstanding engineers from other amazing organizations. So we’re quickly growing and fortunately have the capital to bolster that really rapid expansion of our product and engineering functions.

Bill Neumann: We talked about West Coast Dental, great success story, case study there that we will link to, like I mentioned in the show notes, everybody can really dive into that. But Superdental is not just for 60 location groups. There are a lot of solo practitioners, and I would even argue that in some cases, a smaller emerging group that’s doctor-owned and led doesn’t have an RCM team at all, so they have other people you know, the office manager, somebody doing that work that could be doing other things. So do you have some other I mean, it’s not just for large groups, right?

David Khaydtov: That’s definitely definitely not. Yeah. So listen, I mean, if you’re, you know, a one office practice and you’ve got a line of patients right in front of your front desk every morning because you’re, you know, trusted and loyal front desk coordinator is just, you know, on hold with Delta Dental. and can’t check in patients, you should be using Superdial to make those calls to Delta Dental instead. We work with emerging DSOs, some of the world’s largest DSOs. We also work with single location offices because the economy of scale that we’re able to offer down does make a huge impact. And you can repurpose your team to do more impactful work outside of having to wait on hold and navigate these IVR and phone trees. And it could be patient facing work, it could be more back office work, but whatever it is, there doesn’t have to be this meticulous phone tree game anymore.

Bill Neumann: Excellent. All right, crystal ball time. As we get to the end of the podcast, what’s the future look like next couple of years for Superdial?

Sam Schwager: Certainly. I think we’ll, we’ll continue to focus on, you know, delivering the best possible product and experience to the, uh, DSO, um, customers and RCM companies that we are currently working with. Um, and we’ll continue to, you know, work with a great deal of, of new customers in both the medical and dental space with, again, an emphasis on the DSO industry. Cause we’ve been, you know, very pleased with. organizations like West Coast’s ability to really work alongside these AI agents and increase the productivity of their existing billing teams. I think that piece of human agent teaming is one that I would emphasize as being a critical part of the next Few years as well, I think organizations like DSOs that are thinking about AI strategy will really benefit from thinking of AI as a new team member that you can add to your RCM teams, especially to absorb a lot of the repetitive work that people should not be having to undertake anymore. So I think that organizations that do what West Coast has done, bringing in AI agents to work alongside the existing RCM team and then recognizing enormous productivity increases and cost savings as well, that will be something that enables those organizations to excel relative to peers over the coming years. And I think we’re also very excited about working with payer organizations. They similarly have a lot of outbound calls they make, and they’re, of course, fielding the inbound side of these same calls that we’re focused on currently. So payers are actively evaluating AI solutions and looking for ways to increase their efficiencies. So we’re already, you know, working in a pilot capacity with, you know, pair organizations, which is very exciting. And I think we’ll continue to, you know, scale up our, you know, pair facing work. And of course, the, you know, broader vision would be ultimately to have superdial on both sides of these phone calls, such that we’re now facilitating AI to AI interactions that accomplish tasks that used to be repetitive interactions between two people on the phone, in this case, talking about claims or insurance benefits. We’re very excited about the potential of AI to AI communication. Again, maybe first over the phone, but ultimately probably using more traditional programmatic methods of communication like HTTP to make the entire process more efficient. And again, chip at that 25% expenditure on administrative costs that we currently see in the healthcare system.

Bill Neumann: Exciting times. And I think if anybody who’s in the audience that is wondering whether it’s time to embrace AI or I think it’s probably past time to at least explore it, how would somebody in the audience, what’s the best way to reach out and find out more about Superdial?

David Khaydtov: Yeah, they can go on our website at superdell.ai or find Sam or myself via email or LinkedIn. What are your emails? Just in case anybody, like I said, you should be watching, but just in case you’re listening. Yeah, it’s just Sam at superdell.ai or David at superdell.ai are our emails there. We can definitely walk through a demo, show you some example calls, walk you through some case studies. But also, we’re happy to just put the portal up and have you run some free trial test calls and see for yourself, evaluate the data that you get back. And if our agents can get you the same results that your current RCM team is getting, then we think that it’s definitely an option. worth exploring. And also, if you’re on the road, we’ll be at all the dental and DSO shows, probably for the rest of my life.

Bill Neumann: You’ve got DEO, Dykema coming up.

David Khaydtov: You mentioned, I think there was… Dental RCN in Colorado, Greater New York Show. That’s my home. I’ll be there for sure, and definitely will be in New York in December. Excellent.

Bill Neumann: I think it’s a great idea to, but don’t wait for the shows, you know, I think it’s best to reach out by email or schedule a demo. And I love the idea of, you know, actually being able to run a pilot or do some testing and specific to your practice or your DSO just makes a lot of sense. Thank you both. I really appreciate the invitation to New York City. Nice to meet you, Sam. Thank you again. See you again. Yeah, I’ll see you around for sure. And thank you everybody for watching us. Again, love these conversations. We learned so much from thought leaders in the dental industry and specific to technology and AI. Until next time, I’m Bill Neumann, and this is the Group Dentistry Now Show.

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