Discover Fiona: Your New 24/7 AI Front Desk Team Member | Miles Beckett | MME

Feb 3, 2025

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Did you know that up to 40% of calls could be going unanswered even during working hours in your practice?

In this Monday Morning Episode, I chat with Miles Beckett from Flossy, whose challenging the status quo with an audacious question—should you fire your staff to make way for cutting-edge AI technology? We explore the persistent staffing hurdles in dental offices and unveil how AI can redefine efficiency and service quality. Miles introduces us to Flossy's AI receptionist, Fiona, who skillfully handles appointment scheduling and patient inquiries while significantly reducing no-show rates. This conversation promises a riveting insight into the practical and financial advantages of incorporating AI into dental practices.

We examine how incorporating AI like Fiona not only economizes but also enriches team dynamics, fostering a more cohesive and productive work environment. With Miles’ expert insights, we tackle the looming question all dental entrepreneurs grapple with: How can AI propel my practice forward while maintaining high standards of human interaction? As we explore the potential future developments in AI, Miles provides a visionary roadmap that could very well be the blueprint for modernizing your practice. Get ready to rethink your staffing strategy, elevate your service offerings, and embrace the future of dentistry with open arms.

What You'll Learn in This Episode:

The rationale behind considering AI technology in dental staffing.
Challenges faced by dental practices regarding staffing and scheduling.
Insights into Fiona, Flossy's AI receptionist, and her functionalities.
Strategies for integrating AI to enhance team dynamics.
Potential future developments of AI in dental operations.

Tune in now to discover how AI could augment your dental practice operations!

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You can reach out to Miles Beckett here:

Website: Flossy.com

Twitter/X: x.com/mbeckett

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Episode Transcript (Auto-Generated - Please Excuse Errors)

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Michael: Hey Miles, so talk to us. What's one piece of advice you can give us this Monday morning?

Miles: Thanks for having me, Michael. My piece of advice that's controversial is fire your staff.

Michael: Interesting. Fire your staff. Why so?

Miles: I'm obviously being a little bit facetious, but I think you should raise your bar.

I know that one of the biggest issues in dental right now is staffing challenges, both finding good staff, retaining staff, dealing with churn. And you know, it's oftentimes a rotating door at dental practices. And the way we think about things at Flossie is that we can help bring AI workers to help you out.

And those AI workers really make you reassess How good is this person doing? Do I really need them on this task? Maybe I can have them do something else instead.

Michael: So then what was the specific problem that you saw in practices that inspired you to create? I guess or the suite of it, right? Like Fiona and how does AI solve challenges that traditional front desk systems can't?

Miles: the new technology around generative AI, which is really the most recent type of AI that we're seeing out there. We've had things like machine vision and learn machine learning and stuff for a while now. It's created voice technology that allows you to build these agents that really sound like you're talking to a human.

So I would say over the last year the technology has improved dramatically such that a year ago we were looking at some of this stuff and it didn't really work. But within the last six months or so, all of a sudden, you could really build these agents that you could talk to that sound like you're talking to a human.

So we were kind of playing around with this technology. We had already built out a dental discount network that was kind of our core business before. so we were looking at it for some of our own uses. And we sort of had this aha moment where so many of the dentists that we work with were complaining again about this rotating door, particularly with the front desk.

And we were like, wow, actually, we could build a receptionist that would sound and function basically like a human. And so that was the first pain point that we really wanted to solve. And it's kind of shocking the amount of calls that go unanswered. not just nights and weekends where typically people are just getting a voicemail that kind of just goes nowhere.

But also during the day, about 30 to 40 percent of the calls coming into a dental practice during the day actually go unanswered.

Michael: Really interesting, yeah. That's a good, stat right there. Now when it comes to that, did you kind of see, okay, hey, these calls that are being unanswered, the nights and weekends and everything, it can kind of cover all this?

Or was there hiccups, problems with that? I mean, I would assume there's like a ton of questions that AI has to be prepared for, right? That a human can do, but I mean, how did you kind of overcome that?

Miles: it already works for nights, weekends, overflow. We have practices that, are starting to use it to fully replace the voice reception duties and to be able to have that staff focus on people that are actually in office.

And oftentimes front desk workers aren't just answering the phones. They're usually doing a ton of other things. So, I mean, the short answer is that there's an approach in AI development called rag, which basically allows you to marry, Specific proprietary technology databases to the LLMs that are already out there.

So things like chat, GPT or Gemini, for this new model that China released deep seek, these are all generic models. And then there's other. Companies that have built specifically models that generate voice for the conversational aspect of the call. But obviously they don't know anything about dentistry.

They don't know anything about your specific practice. and they certainly don't know anything about scheduling or scheduling software. So a lot of what we've built is leveraging those generic LLMs. And then adding in dental specific knowledge that comes from, hundreds of thousands of data points that we have from patient visits and patient interactions with dentists over the years.

And then also with the practice, ingesting their data to fine tune it even further to their practice. Both in terms of taking, like all their call log data and actually use that as part of the training for the model, and then also basically taking their rules around scheduling and their rules and information about the practice when they're open, when they're not, when the dentist is there.

And all of that is loaded into a database that is available to the AI in real time as a person is talking to

Michael: them. Have you seen any. Like hesitation on this as far as people taking it on were you kind of hesitant a little bit as far as taking it on And then like it, blew your mind out of the water kind of a thing

Miles: Yeah, I think definitely there's a lot of interest.

So, you know, we immediately had people signing up for the product right off the bat. However, in the initial conversation, for sure, there's a lot of skepticism. Part of that is because the technology is so new that if I were to tell you what I'm telling you now, that There's an AI you can talk to, and it knows everything about your dental practice and can book you.

Sounds a little bit science fiction. And then second, there are, you know, a lot of people broadly in the industry saying, Ah, we have an AI receptionist for this vertical or that vertical, for dentists, for doctors, for plumbers, blah, blah, blah. And frankly, a lot of that technology is not very good, so if people have had some prior experience, they've maybe had sort of a negative experience.

And the big reason for that, again, is that if you just sort of slap together a receptionist on top of a generic model, it's not going to work very well. You have to train it on the data brought for that industry. And even specific, like, the model that we have for a pediatric practice is different than the one for an orthodontics practice, as an example.

And then again, Providing other data, that is specific to that practice itself. So there's some like initial skepticism, but once they hear it, once they interact with it, once they talk to other customers that have been using it, they're like, Oh, wow, this is pretty awesome. And then once they actually get it live, you know, they're pretty blown away.

Michael: Yeah. So patients now expect, and you've seen this I'm sure, 24 7 communication, right? Right. Whether it's like, but on their time. Like, hey, I need it now, emergencies, whatever. So then, how does Fiona personalize patient interactions to improve that satisfaction of patients? And also, how does it help reduce no shows, or does it do that?

Miles: Yeah, no, for sure. Yeah. So I mean, there's kind of a few ways that she works. So, most calls coming into a dental practice are for scheduling. majority of the calls are about I need to schedule an appointment. So the primary use case for Fiona, In general, but then really specifically for after hours and overflow is There's a huge amount of call volume that dental practices are getting that literally goes unanswered and goes to voicemail. And what is that person doing? They're calling the next dental practice. That's what we all do. You don't get an answer. You go to the next one. You go to the next one. And so it's giving these dentists an opportunity to actually capture that patient and book them for appointment.

Yeah. And she can perfectly book appointments for new patients, answer questions about the practice. Again, it's, uncanny. The second is, as you're saying, no shows. So, people call in a lot and say they're running late or saying they need to reschedule or whatever. typically, that, happens during the day.

It also happens, interestingly, a lot before the practice opens in the morning. So, practices will often see a lot of morning no shows and it's because they didn't, hear from the patient. So, She's also capturing those and rescheduling the patient, and so when the doctor gets in, their calendar is actually correct.

So I would say those are kind of two of the main use cases. And then there's a lot of question answering, right? So there's, in a pediatric setting, there's, know, how's the first visit going to be? Is it going to be painful? What's it going to be like for my child? They've never been before.

If it's a person that has like an immediate issue, can you get me in today? What is your schedule look like? What's the procedure going to be like? I've never had a root canal before. And she can answer all that. So she's actually trained on again a massive clinical data set as well.

In fact, she technically passed the board exam. so she's very knowledgeable about dental information as well.

Michael: Wow, that's incredible, man. So then I can see how this improves the call, right? It also, I'm assuming saves the practice owner, the business, a lot of money. in some many ways. So can you share a quick example of numbers that illustrate how fast practice could see the ROI?

With Fiona.

Miles: Yeah, I mean, the ROI with Fiona, literally, if you get one patient booking that you otherwise would not have gotten, she pays for herself that much. Okay. also to give you another example, Fiona costs about one tenth of What a human employee would cost, okay, to answer the phones.

So we're talking about a massive cost savings. Above and beyond even the alternative that some practices do, which is like outsourcing to other countries. It's less expensive than that as well. So, the ROI is effectively immediate, especially given the are getting such a large percentage of calls going unanswered.

Michael: Interesting, man. So is it like tiers?

So,

Miles: yeah, we, and again, we really think About these A. I. S. As employees as co workers. And so it basically comes down to like hours of utilization effectively. But you know, like the lowest here is basically nights and weekends and overflow coverage. The middle tier is sort of during the day in a copilot capacity.

And then the highest here is just fully taking over all the calls being the first point of contact broadly. That's how we sort of think about it. Yeah. And as we think about all these agents too, I mean, the thing that's kind of cool is that you can interact with them as well. So you can actually have a one on one with Fiona, just like you would with an employee where you can provide her feedback in chat or in talking to her.

And then that feedback that you give actually gets incorporated to how she functions going forward.

Michael: Interesting. I like that. So then how does this, I mean, maybe you might've seen it miles. Maybe you haven't, does it improve like the team dynamics? Is it more like, Hey, this may take over your job and then the team members are iffy about it, you know what I mean?

Miles: Yeah, no, I think it's been fine. I mean, we think of each of these A. I. S. as being co pilot to the workers that are there. And I think the reality is for any practice in particular that's growing or if you're buying other locations, you're constantly hiring more staff. You also, again, there's, a huge amount of churn with dental employees.

So oftentimes you have people quitting and then you're hiring new people. So I think what this really lets you do is have a leaner team, not because you're firing people, but because you don't have to hire quite as many people. And for the staff that's there, they can focus on what they, you know, ultimately got into the business for, which is on patient care.

You know, most of the staff in the practice are dental techs or hygienists. And oftentimes even front desk people like might even have a credential like that, and they're sort of doing double duty. And so now they can really focus on delivering patient care and also the in office interaction.

So talking to the patient that's actually there at the front desk and that you know is getting a treatment, right there in the practice

Michael: Yeah, I can definitely see this also a benefit for the startup practice, right? Like somebody who's on a lean budget starting up and then They just need to have someone in the front right now, kind of covering, maybe somebody last minute didn't show up for work because that happens quite a bit.

They ghosted him, right? Or something like that. Yeah, right. They just show up and this, is a really good, do you feel like this can a hundred percent replaced? The front desk or more like, Hey, no, we're still going to need somebody there.

Miles: I would say that within six months, 99. 9 percent of the phone calls will be able to be handled fully by Fiona.

cause she's already can handle. 80 percent of the use cases right now, because again, most of the calls are scheduling related. There will be some edge cases, of course, and those edge cases will require a person, but it's going to be very few and far between. I think it'll be a question of how the practices want to use her and some may be.

Just want her in an overflow capacity, regardless of her capabilities. And that's fine. And obviously there's very large DSOs that have call centers. I think we're going to see heavy adoption by them. You know, we're talking to all the major DSOs, rapidly. Yeah. And I think as we think about these other agents that we're building, we really think of it as a suite.

Of AI agents for dental practices that all work together. So as a simple example, we'll be launching an insurance verification AI that will automatically verify insurance either through direct connections with insurers, or actually by calling, because sometimes you still can't get the data via their APIs or publicly available sources.

And you actually need to call well, great. We have call technology where that AI can just call. The insurance company and now get the verification. And so you can imagine where a patient calls. They talked to Fiona. They're booking to give their insurance info now behind the scenes. Our insurance AI is verifying that data and providing it to the dentist.

So they now have a package all ready to go for when that patient shows up. And so for each of these different ones, we're thinking about them working together. And I think in different domains, they'll be able to do, you know, more or less of the work. Some things are more complex, the one that we're thinking about for helping you run your practice, which is kind of like, Sort of a business intelligence product.

But again, in the form of like an AI that's actually giving you recommendations, it's not going to be perfect and you're still going to have to run your practice, but it may actually take over the work of, you know, some of the consultants that you use and maybe you can do it a little more efficiently.

Michael: Wow, man. Oh, so you guys got a lot, got a lot going on, which is great. It's exciting. So for practice owners who want to explore this further, where can they learn more about Fiona and Flossie? And do you guys offer any type of like demos or trials?

Miles: Yeah. Yeah. So they can just go to flossie. com F L O S S Y.

com. there's a bunch of info about Fiona on there right now. We offer demos. And we have like Sort of a trial period that we can offer people in, some cases as well.

Michael: Awesome, Miles. I appreciate your time. And if anyone has further questions, you can definitely find them on the Dental Marketer Society Facebook group, or where can they reach out to you directly?

Miles: I am on Twitter or X, I guess it's called. I feel like we'll always call it Twitter. Um, and my handle should be M Beckett on Twitter.

Michael: And so all that's going to be in the show notes below. So definitely check it out. And Miles, thank you for being with me on this Monday morning episode.

Miles: Awesome. Thanks so much, Mike. I really appreciate it.

Discover Fiona: Your New 24/7 AI Front Desk Team Member | Miles Beckett | MME

What You'll Learn in This Episode:

You can reach out to Miles Beckett here:

Other Mentions and Links:

Episode Transcript (Auto-Generated - Please Excuse Errors)