On this episode of the Healthcare Success Podcast, Stewart Gandolf speaks with Steve Bilt, CEO and co-founder of Smile Manufacturers, concerning the realities of scaling a big healthcare group in an surroundings formed by workforce challenges, technological disruption, investor expectations, and rising operational complexity.
Steve co-founded Smile Manufacturers 25 years in the past, earlier than dental service organizations had been well known as an business class. As we speak, the group operates greater than 600 areas and serves roughly three million sufferers yearly. Drawing on that have, Steve argues that progress is pushed much less by concepts and extra by the power to execute them constantly throughout a company.
A central theme of the dialog is alignment. As organizations develop, leaders should be sure that regional operators, clinicians, entrepreneurs, HR groups, finance groups, and follow managers perceive not solely what the corporate is making an attempt to attain, however why it issues. With out that shared understanding, even sturdy methods can lose momentum. Steve notes that the problem isn’t producing concepts—it’s operationalizing them within the context of a company’s distinctive individuals, programs, and market circumstances.
The dialogue additionally explores how healthcare organizations ought to method rising applied sciences, notably AI. Whereas improvements akin to radiographic AI and agentic AI provide great alternatives, Steve cautions in opposition to adopting expertise just because it’s new. Leaders should consider whether or not a software matches current workflows, whether or not groups can take up the change, and whether or not it finally creates worth for sufferers and suppliers.
Steve shares a sensible management philosophy: “Preserve your head precisely the place your ft are.” He argues that efficient leaders steadiness ambition with realism, remaining trustworthy about their group’s present capabilities whereas constructing towards future targets. That very same self-discipline applies to acquisitions, partnerships, and strategic planning. Success relies on understanding the place a company can genuinely add worth—and the place it may’t.
The dialog concludes with a dialogue of tradition and management. Steve compares tradition to bodily health: it’s not constructed by slogans or mission statements, however by constant repetition of behaviors, selections, and priorities over time. For healthcare leaders, the lesson is evident: sustainable progress comes from readability of objective, disciplined execution, trustworthy self-assessment, and relentless alignment round what issues most.
• Why group alignment is important for scaling multi-location healthcare organizations
• How DSO and healthcare leaders can steadiness innovation with operational self-discipline
• Why expertise adoption, together with AI, have to be grounded in workflow and readiness
• How tradition is constructed by repetition, consistency, and genuine management
• What healthcare executives ought to think about earlier than pursuing acquisitions or fast growth
Observe: The next AI-generated transcript is supplied as a further useful resource for many who want to not take heed to the podcast recording. It has been frivolously edited and reviewed for readability and accuracy.
Stewart Gandolf (Healthcare Success): Howdy once more, and welcome to the Healthcare Success Podcast. As we speak, I’ve a really particular podcast. We’re going to talk about content material and AI, that includes two of my favourite individuals, who occur to work with me as properly, Mary Hayes and Melanie Wilson. Welcome, guys.
Melanie Wilson (Healthcare Success): Thanks. Joyful to be right here.
Stewart Gandolf (Healthcare Success): Yeah, I am glad to have each you guys. So I needed to beg them, threaten them, persuade them… You guys aren’t used to being in entrance of the digital camera, so in the present day, you guys are gonna do nice, I simply understand it. So we’ll lead you thru.
Melanie and Mary are each key members of our group, and guys, simply, I need you to take a second to introduce your self and what you do round right here at Healthcare Success, and I will lead you from there.
Mary Hayes (Healthcare Success): Positive, I will begin. Hello, I am Mary Hayes, I am the Senior Content material Strategist right here at Healthcare Success. I have been right here for a couple of 12 months and a half, however I’ve many, a few years of promoting and healthcare expertise.
To explain what I do, I’d say I spend my days determining the right way to get the fitting content material in entrance of the fitting individuals. And, recently, quite a lot of that work has been involving or ensuring that AI helps us do this higher, and never simply sooner.
Stewart Gandolf (Healthcare Success): Wonderful. And Melanie, what’s your title, and what do you do?
Melanie Wilson (Healthcare Success): Director of Model and Storytelling right here. I have been right here for about 5 years. I do two important issues, primarily managing our group of writers and the manufacturing of the content material. In addition to I assist with our model technique tasks, because it pertains to model messaging toolkits. I assist develop these for our shoppers.
Stewart Gandolf (Healthcare Success): Wonderful. So, in the present day, let’s, once more, we’ll speak about content material advertising, and that is within the information. In case you’ve been doing something associated to healthcare advertising, or content material of any type, this has definitely been within the information because the very starting, and there is quite a lot of concern on the market.
And I will set this up a bit bit, guys, and we’ll simply bounce straight into the podcast. However initially, there’s the concern that we’re all going to be taken over by robots, which in all probability has some validity. I perceive that, so I do not wish to be naive to that.
However extra to the purpose for in the present day, there are fears of writers being displaced solely. What is going on to occur to writers? Ought to I not be a author? What are we going to do? What is going on to occur to my job?
And once more, these are all legitimate fears. We’ll be speaking about a few of these issues in the present day. There’s additionally the concern of misinformation, or errors, or hallucinations in healthcare. And that is an enormous concern as properly. There are fears that if I rent somebody to do writing for me, are they actually going to jot down, or are they only going to make use of AI?
So there’s rather a lot happening as of late, and I definitely perceive that. So in the present day, we’ll let you know what truly occurs at what we like to think about as a state-of-the-art company that also makes use of very skilled human writers, but additionally makes use of AI appropriately.
So we’ll get into all of that. However first, I will throw out one thing that’s newsworthy. There are rumors—and there are literally state legal guidelines in numerous levels—and we’ll see the place this goes. However something with healthcare is exclusive, as you guys know. We’ll in all probability speak about your cash or your life and E-E-A-T in a bit bit. Healthcare is especially necessary, and so there may be, for instance, I’ve heard of a legislation in Texas the place something AI-driven goes to require some form of disclaimer that it was written by AI.
And that is an attention-grabbing dilemma. When this primary got here to our consideration internally, in case you’re utilizing Grammarly, that is a type of AI, proper? So the place are these strains going to be drawn? Who’s going to be the arbiter of these items? How’s this all going to shake out?
However in the meantime, my group jogged my memory that this little tiny group a few of our listeners could have heard of has a coverage on this. That will occur to be Mayo Clinic. So Melanie and Mary, I might love you to speak—let’s begin there. We have plenty of questions, however let’s simply speak about that characteristic, then we’ll dive into the remaining.
Melanie Wilson (Healthcare Success): Yeah, I believe the concept that now we have to be clear with how we use AI is an effective idea. It is one thing that we ought to be proactive about as a substitute of reactive.
As you talked about, the Mayo Clinic is a very good instance of how they do this. They’ve a web page on their web site known as the Well being Info Coverage web page. It is buried in there, however I like the web page. It primarily outlines their course of for writing and producing copy and well being data. They go into element concerning the writing course of, analysis, assessment—all the things is there.
Along with that, they’ve a boilerplate paragraph about how they use AI. It is quite simple, it is clear. From a perspective of LLMs understanding and studying your web site, it’s gold. It truly is what LLMs want to grasp what the well being data is that you’ve, and the way you’re being moral and accountable with the best way that you simply produce it.
So that may be an instance of how to do this proper.
Stewart Gandolf (Healthcare Success): Wonderful. Mary, some other feedback earlier than we pivot?
Mary Hayes (Healthcare Success): I agree with that, and I believe it is also necessary to have that assertion someplace in your web site in case you are utilizing AI, simply as a manner of being trustworthy and open concerning the expertise.
The reality is that nearly everyone is utilizing AI now, and so I like the best way Mayo Clinic lays it out. It highlights that it is human-first, however they do use AI, they usually clarify the particular methods they do this.
Stewart Gandolf (Healthcare Success): So I’d similar to so as to add one form of shade commentary. Mayo Clinic is a type of organizations that simply views themselves as a frontrunner, and I like that about them.
And for individuals newer to our business, it’s possible you’ll or could not bear in mind Lee Aase, who was the pinnacle of communications at Mayo. I’ve truly interviewed him on this podcast a number of occasions. He was sort of the innovator of social media in healthcare. He helped lay down insurance policies and get Mayo concerned early.
So the primary query I’ve is: why not use AI for all the things?
Mary Hayes (Healthcare Success): I’ll go first. I’d say the easy reply is that AI simply isn’t there but. It may well’t deal with the total cycle of technique, manufacturing, optimization, and iteration.
And to be trustworthy, I’m not mad about that—I’m not able to retire but. However truly, I believe AI is genuinely wonderful at sure issues, akin to analysis, synthesizing giant volumes of data, analyzing information, and writing code.
It handles these issues very well, however actually good isn’t the identical as achieved. It nonetheless wants a human within the loop, as we wish to say, to catch errors and apply judgment. As a result of AI does make errors. It hallucinates, which suggests it’ll actually simply make stuff up.
In order that’s why I don’t use it for all the things.
Melanie Wilson (Healthcare Success): Yeah, I agree. Every thing Mary mentioned. I believe with regards to simply the writing, for that very same purpose, I wouldn’t be snug simply letting it go from starting to finish, particularly with healthcare or medical data.
Primarily as a result of, as Mary mentioned, it does hallucinate. It additionally has factual inaccuracies—made-up statistics, made-up quotes. There are quite a lot of issues like that. And it finally ends up taking extra time to assessment and repair these issues than it could be to jot down a correct first draft.
Mary Hayes (Healthcare Success): Yeah, and I’d simply add that publishing an inaccurate declare isn’t simply embarrassing—it may truly hurt your sufferers. Making errors or hallucinating might be annoying in most industries, however in healthcare, it’s an actual drawback.
Stewart Gandolf (Healthcare Success): Yeah, it may hurt them, it may trigger lawsuits, it may kill manufacturers, it may trigger you to cease displaying up. So there’s quite a lot of draw back to this. Clearly, the affected person first is crucial factor.
I’d say, to take a counterpoint right here, the opposite factor I hear is: why would I exploit AI in any respect?
And I’ll reply that. I’ve youngsters which are Gen Z, they’re very anxious about this, I don’t blame them. They’re each graduating from faculty quickly, and that is undoubtedly impacting entry-level people. However to say “I’m not going to make use of AI in any respect,” I believe that’s naive.
The metaphor I exploit rather a lot is: if I consider that, possibly I ought to return to pad and paper. Or a typewriter. Or simply keep on with a pc. AI is the following iteration.
In case you select to not use AI, that’s wonderful—however you’re opting out of the arms race. You’re working on foot whereas others are on more and more quick horses. You’re at an enormous aggressive drawback. And I’d argue that in lots of circumstances, your content material gained’t be pretty much as good, as a result of AI lets you iterate and enhance sooner.
It’s like sharpening a sword—every iteration will get stronger in case you’re utilizing the instruments appropriately.
So then let’s speak about the way you truly use AI. Mary, do you wish to begin?
Mary Hayes (Healthcare Success): Positive. I’d say I exploit it for nearly all the things—however I ought to say up entrance that our search engine marketing division, led by Brandon Schakola, has actually been the one within the trenches doing AI testing. We’ve been constructing, breaking, and refining workflows as a group for some time now. So by the point one thing lands in my day-to-day, it’s been by its paces.
I don’t wish to faux I do know all the things, however I can converse to how I’ve been making use of it and what’s truly working. On any given day, I is likely to be working in Claude or ChatGPT. We additionally use platforms like Weike and AirOps, which assist us produce content material at scale and observe how we’re performing in LLMs.
A concrete instance: after we convey on a brand new healthcare shopper, they hand us a mountain of supplies—web site content material, persona decks, messaging pointers, gross sales collateral, questionnaires, aggressive intel. It used to take days to soak up all of that.
Now I can feed it into Claude, and it synthesizes it right into a complete overview that informs the technique I construct. For search engine marketing and AEO technique, I’ll pull experiences from Ahrefs or Google Search Console, add these to Claude together with technical audits, and ask Claude to cross-reference all the things and run a content material hole evaluation. It helps floor alternatives.
Then I assessment the findings and apply my search engine marketing and AEO experience to make remaining selections. I map all the things to viewers, funnel stage, key phrases, content material kind, URLs, publish dates. That’s how I exploit it—only one instance.
Melanie Wilson (Healthcare Success): Superb. And simply to repeat what Mary mentioned, I’m actually happy with the search engine marketing group and the way they’re bringing this into the company.
From a writing perspective, I exploit it in two important methods. First, I don’t begin with AI for first drafts with regards to healthcare data. However I do love utilizing it to shine—enhancing readability, shortening sentences and paragraphs, simplifying language.
Second, I exploit it to repurpose content material. For instance, I’ll take a human-written weblog publish and switch it right into a paid search touchdown web page. That requires a shift from informative to benefit-driven, direct-response copy. It saves time and does an important job as a result of the bottom content material is already correct.
The opposite factor I like is creating customized GPT instruments. I constructed one for model messaging audits. It’s primarily 20 years of my data became a software, and it saves me 8–10 hours. For shoppers with out the price range for full model messaging improvement, I can provide them a report on what their web site is definitely speaking.
Stewart Gandolf (Healthcare Success): So I’d simply add a pair factors. One concern individuals have is: “I’m going to rent an company, they usually’re simply going to throw all the things into AI and go on trip.” That’s not what’s occurring. AI truly permits us to ship extra worth, not much less.
There are such a lot of shifting components in artistic work—can we wish to spend time on busywork, or high-value considering? AI helps us get rid of the mind-numbing components—like constructing schema, which is crucial however tedious—and concentrate on technique and creativity. So we will ship extra, sooner, and higher.
One other concern is information safety. Individuals fear: “Are you feeding my enterprise information into AI?” You want safeguards in place. We’re not utilizing public instruments that prepare on shopper information. That’s crucial in healthcare.
So Mary, what are you listening to from shoppers about AI and well being content material?
Mary Hayes (Healthcare Success): Yeah, I’d say there are two important issues that I’m listening to, and what’s attention-grabbing is that they sort of contradict one another. On one finish, now we have shoppers who’re satisfied that we use AI to jot down all of their content material, such as you mentioned, they usually’ll flag issues like utilizing em dashes as proof. However I wish to be clear—and Melanie can converse to this as properly—now we have actual, wonderful, skilled human writers who’ve spent a long time in healthcare advertising, and an em sprint isn’t a smoking gun. Individuals who know the right way to write use em dashes—that’s simply how it’s.
On the opposite finish, I’ve shoppers who really feel like possibly we’re not shifting quick sufficient or not producing sufficient quantity. It’s as in the event that they hear the phrase AI and assume it means we will crank out twice the work in half the time at no cost. And the reality is, sure, AI does save time—I’ve seen it lower particular workflows considerably—however that effectivity doesn’t get rid of the human layer, it compresses it. AI is superb at digesting and synthesizing data, but it surely doesn’t have judgment, it doesn’t perceive tone the best way a human does, and it doesn’t catch nuance the best way somebody with 20+ years of healthcare advertising expertise does.
Stewart Gandolf (Healthcare Success): Yeah, for certain. And I can speak about {that a} bit as properly, however Melanie, I’d love to listen to from you—you are Director of Content material and Storytelling—let’s discuss concerning the artistic aspect of healthcare content material.
Melanie Wilson (Healthcare Success): Yeah, so I believe it’s useful to outline what we imply by the artistic aspect of healthcare. I think about something that’s not purely informational to be artistic—so something designed to steer, differentiate, or emotionally join. That features headlines, taglines, advert copy, paid social copy.
And the rationale that issues is as a result of in healthcare, now we have the toughest job: now we have to be artistic, however we additionally need to be medically correct. We have now to be persuasive, however we will’t go in opposition to compliance. We have now to have a robust model voice, whereas sustaining credibility. I do suppose AI might be good at artistic output, however in healthcare, that steadiness is crucial, and that’s the place human intervention is important. If the objective is to transform, we nonetheless have to make sure the content material is reliable and compliant, and that’s the place the human layer actually is available in.
Stewart Gandolf (Healthcare Success): Yeah, and I’d simply say that individuals who know me know I began as a author earlier in my profession. I nonetheless write on a regular basis, and I can write fairly properly by most requirements—however I exploit AI continually now. A number of occasions it’s utilizing issues I’ve taught it. I’ve skilled it on my voice, fed it chapters of my guide, weblog posts I’ve written, so it understands how I believe. And for instance, if I’m writing a touchdown web page, it’ll remind me to incorporate issues I would in any other case neglect—like a proof part. So used appropriately, it may truly improve creativity. There are additionally sensible makes use of—like making ready interview questions for podcasts. As a substitute of ready for visitors to offer them, I can generate a robust place to begin, refine it, and get higher participation. There are all these little methods to make use of AI that enhance outcomes with out changing the human position.
So Mary, when a shopper says, “Why don’t we simply use AI ourselves?” what do you say?
Mary Hayes (Healthcare Success): That undoubtedly comes up, and I perceive the logic—AI is accessible, it’s quick, it produces textual content, so why pay an company? However the actuality is that a few of our greatest shoppers got here to us after working with businesses that relied too closely on AI, and it confirmed. The content material had a generic tone, inaccurate claims, and it didn’t carry out. That’s the real-world model of “we’ll simply do it ourselves,” and it’s not a small mistake.
First, there’s technique—AI doesn’t know your online business targets, your aggressive panorama, or the right way to prioritize content material. With out that, you’re simply producing content material with out intent, and in healthcare, that’s a waste of price range.
Stewart Gandolf (Healthcare Success): I’d add that past accuracy, there’s model voice. You’ll be able to feed model pointers into AI, however that essence will get misplaced shortly over a number of iterations. You must hold pulling it again. And the opposite situation is uniqueness. AI is extremely highly effective for good, hardworking individuals—however for lazy individuals, it’s a race to the underside. You’ll be able to generate a full web site in a couple of hours, but it surely’s generic content material that exists all over the place. That hurts your search engine marketing and your credibility. In a world the place AI and search engines like google are in search of experience, generic content material tells them you don’t have anything distinctive to supply. That may take years to get better from.
Melanie Wilson (Healthcare Success): And to construct on that, I believe an enormous a part of the disconnect is that folks assume AI can simply write, however they might not have the experience to judge the output. Knowledgeable author understands what beauty like and the right way to information the software. Model voice is strategic—it ought to be documented, developed, and intentional. After you have that, AI could be a useful gizmo for checking consistency, however it may’t outline it for you. The identical goes for storytelling—it’s strategic, not one thing that occurs after the very fact. So long as the human effort goes into defining these parts, AI can assist assist and refine them.
Stewart Gandolf (Healthcare Success): Yeah, and I’ll add that even in case you haven’t outlined your model voice, you continue to have one—you simply don’t know what it’s. That may result in inconsistency or weak messaging. Small deviations compound over time. In case you’re even barely off in route, over a protracted distance, you find yourself manner off beam. So these foundational steps actually matter.
So Mary, let’s return to expectations—how does the hole between velocity and high quality present up?
Mary Hayes (Healthcare Success): The most important manner is quantity. Purchasers hear we use AI and assume we will produce 10x extra content material for a similar price. However every bit nonetheless must be strategically deliberate, briefed, reviewed, fact-checked, edited, and optimized. AI compresses some steps, but it surely doesn’t get rid of them. One other situation is turnaround time—shoppers see opponents publishing shortly and assume it’s only one immediate. What they don’t see is the analysis, briefing, enhancing, and SME assessment behind it. And essentially the most harmful model is when shoppers are keen to sacrifice high quality for quantity. I had a case the place management modified mid-engagement and the content material route shifted. As a result of we had sturdy model guardrails, we had been capable of adapt—however with out these, we’d have revealed content material that contradicted the brand new route. These guardrails aren’t overhead—they defend the shopper. In the end, AI is a strong accelerant, not autopilot.
Stewart Gandolf (Healthcare Success): So what’s the fee from a storytelling perspective in case you rely solely on AI?
Melanie Wilson (Healthcare Success): Once we take into consideration storytelling, we take into consideration that emotional connection—the piece that provides you goosebumps. That “magic” is definitely the results of deliberate craft developed by skilled writers. AI can doubtlessly be taught that method, however the components nonetheless come from people. With out that human enter, you lose the depth and which means that makes storytelling efficient.
Stewart Gandolf (Healthcare Success): Mary, anything you want shoppers understood?
Mary Hayes (Healthcare Success): Sure—healthcare is a uniquely high-stakes content material surroundings, and AI doesn’t inherently perceive that. In search engine marketing, we speak about YMYL—your cash or your life—and healthcare sits on the prime of that. A mistaken statistic or outdated guideline isn’t simply embarrassing—it may harm credibility, set off regulatory points, or mislead sufferers making necessary selections. We work on subjects like lymphoma, dialysis, infusion therapies—areas the place accuracy is crucial. Sufferers depend on this data, and that accountability can’t be automated.
Stewart Gandolf (Healthcare Success): Melanie, you talked about this earlier, however let’s make clear—after we speak about healthcare content material, what all does that embody?
Melanie Wilson (Healthcare Success): Yeah, at our company, since we’re full-service, content material actually spans a variety. However for a typical healthcare web site, it’s primarily service pages, situation pages, and therapy pages—that’s the majority of what most healthcare manufacturers have. That’s additionally why we’re so protecting of it. Sure, we would like model and storytelling and all of the artistic parts, however on the finish of the day, it must be correct. It must be proper. Past that, it extends into social media, paid media, and even conventional channels like radio and billboards.
Stewart Gandolf (Healthcare Success): Nice. In order we wrap up right here, I’d love each of you to weigh in. Mary, let’s begin with you—what does good human-AI collaboration truly seem like in your day-to-day workflow?
Mary Hayes (Healthcare Success): The best manner I’d describe it’s that AI handles the heavy lifting, and people deal with the judgment. In follow, meaning I’m not manually studying by a whole lot of pages of analysis or key phrase information anymore—I’m utilizing AI to synthesize that data. What used to take days now takes hours, and I’m working with a richer, extra complete image than I might have assembled by myself. From there, I apply technique. I have a look at what AI surfaced and ask, does this make sense given the shopper’s targets, their aggressive place, and what we’re seeing in search and AI-driven solutions? I make the selections, I course-correct, I add nuance—that’s one thing AI can’t do. It doesn’t have scientific judgment.
Stewart Gandolf (Healthcare Success): Yeah, and that’s an important level. If I provide you with a thousand pages of fabric, do I need you spending weeks simply studying it, or do I need you constructing one thing invaluable? Most shoppers would fairly see progress. And even past that, having the ability to summarize and validate that data shortly is extremely invaluable to them. Melanie, something you’d add?
Melanie Wilson (Healthcare Success): Yeah, I agree with that. As writers, now we have to learn rather a lot to grasp what we’re writing about, so AI helps with that preliminary synthesis. However I all the time apply guide checks—doing my very own stock of what now we have, double-checking what AI produces, and questioning it if one thing appears off. It’s actually about understanding what you’ll be able to and may’t depend on it for. For our writers, we nonetheless do first drafts in-house, however we use AI for editorial assessment—issues like readability and checking in opposition to pointers. In the end, it’s about testing constantly, studying what works, and refining from there.
Stewart Gandolf (Healthcare Success): Mary, any remaining ideas?
Mary Hayes (Healthcare Success): No, I believe we lined rather a lot.
Stewart Gandolf (Healthcare Success): Yeah, I’d simply add yet another factor. I’ve been writing rather a lot recently—blogs, podcasts, webinars—and what I’ve observed is that within the palms of a robust author, AI truly improves high quality. It permits for extra iteration. You’ll be able to sharpen and refine extra shortly. So whilst you might argue you may write one thing sooner with out it, typically the top result’s higher with it since you’ve had extra alternatives to enhance it. We’re not speaking about producing low-quality content material cheaply—we’re speaking about delivering higher work for a similar funding.
So, group, I knew this could be enjoyable. Was this enjoyable for you?
Mary Hayes (Healthcare Success): Sure! That’s certainly one of my favourite subjects!
Stewart Gandolf (Healthcare Success): I instructed you it could be. So thanks for listening. I don’t normally plug the company on these, however in case you’re serious about working with skilled writers who use AI the fitting manner—constructing your model voice, profitable in AI and search engine marketing—that’s what we do. As we speak was only a peek backstage.
Thanks for being on the podcast, and due to everybody for listening.
Mary Hayes (Healthcare Success): Thanks.
Melanie Wilson (Healthcare Success): Thanks a lot.




