Saving Lives with AI in Healthcare, and Why Most Startups Fail, with Sailesh Pattnaik

What if AI could save lives—not someday, but right now?

In this powerful episode of Unapologetic Leadership, Sailesh Pattnaik shares the deeply personal story that led him to build a healthcare AI company after experiencing a tragic loss during COVID that exposed critical gaps in hospital systems. From doctors overwhelmed with administrative work to life-saving patient data trapped in disconnected systems, this conversation uncovers how AI can transform healthcare by delivering speed, accuracy, and real-time insights when it matters most. But this episode goes far beyond technology—it’s a raw and honest look at entrepreneurship, highlighting the failures, rejection, and tough lessons that come with building something meaningful. Sailesh reveals why most startups fail, the costly mistake of chasing funding too early, and why true success comes from solving real-world problems instead of focusing on profit first. You’ll also learn how resilience, purpose, and long-term vision are the real drivers behind impactful innovation, and why now is the best time in history to build something that truly matters. If you’re an entrepreneur, innovator, or leader ready to think bigger, move faster, and create real impact, this episode will challenge how you see business, AI, and leadership.

About Sailesh Pattnaik

Sailesh Pattnaik is the Founder & CEO of RxGPT Health, a healthcare AI company building enterprise agentic AI platforms to transform hospital workflows. He is also a Fractional CMO and GTM leader for AI startups, specializing in scaling companies from pilot to Series A. With over 20 years of experience across MarTech, digital marketing, and enterprise transformation, Sailesh has led global growth initiatives across APAC, USA, EU, and MENA regions. At RxGPT Health, he is developing LLM-powered systems, RAG architectures, and AI agents designed to improve clinical efficiency and patient outcomes, supported by a global team and a roadmap toward HIPAA/FDA compliance and Series A funding. His work sits at the intersection of AI, healthcare, and scalable growth systems—focused on solving real problems that impact lives.

Connect with Sailesh:
LinkedIn: https://www.linkedin.com/in/saileshpattnaik/
Website: http://saileshpattnaik.digital/

Transcript

SPEAKER_00 0:01

Welcome to Unapologetic Leadership. If you felt stressed, overwhelmed, wrestling with the imposter syndrome, wondering if you're just not good enough, then this podcast is for you. So here's your host, Corey Dunham.

SPEAKER_01 0:21

Welcome to this episode of Unapologetic Leadership, where I have Sal, who is the founder and CEO of RX GPT Health. Welcome, Sal.

SPEAKER_03 0:33

Welcome, welcome, Corey. It's great to be part of your podcast. My pleasure, my honor. I'm really honored to be here.

SPEAKER_01 0:40

Awesome. Yeah, I appreciate that. So tell us, what do you do and how do you serve the world?

SPEAKER_03 0:46

Right. So just to tell you in a concise way, I own this company, founded this and lead this company called RX Equity Health. It's a healthcare AI startup that's in California. That's right. And what we do is that not every hospital today has the same individual crisis. Like doctors and nurses spending 30 to 40% of their time on paperwork instead of patients, revenue teams uh drowning in 20 to 20 layer of hotel system that cannot talk to each other, right? So that's no kind of wasting a lot of time. Also, doctors and hospitals are not able to save lives, right? Now, as the patient who still you know fill in the same form five to six times. So we at RCPT, we fix that, not on the like other charge board. We are an intelligent AI operating system that automates the hospital operations so that doctors can focus on patients and all the admin work, operation work can be done by us. So just to summarize in one line, we make hospitals smarter so that doctors can focus on what really matters, which is patients.

SPEAKER_01 1:54

Yeah, no, I think that's it's extremely important, especially as tech it gets bigger and bigger and gets more prevalent. Now there's new systems to understand and new different systems that need to communicate, like you were saying, that you allow them to connect so that they're more productive, they're more efficient, and they're doing most importantly, what they're there for as medical professionals. So that's a great thing. So you told me too that you work in, while we're offline, that you work in many different countries or you've gotten data from many different countries. Can you share some about that?

SPEAKER_03 2:27

Absolutely. RXGPT is kind of we have like targets across four countries, like US, UK, Africa, also India, and because of ongoing war, it's kind of altered in GCC, countries like UAE and all. But we are operating launching this product across four countries right now. We have we are already active in Nigeria, a couple of hospital clinics in Africa. We're launching in UK and also then India, and then it's going to be US wide. Now, the challenge I'll tell you in summarizing that a lot of compliances. For example, hospital healthcare is a regulatory industry, right? So GDPR compliances, DeFi compliances, right? That is the way getting the data in healthcare is very, very difficult. We can go to Chart GPT, get the generic data about politics, about what's happening in the world, but to get the hospital data, we cannot do that, right? Very difficult to get the data. So unless we have the model, no, I would say there is an NDA in place, unless the hospital is agreeing to share the data. We cannot train the model on public data. That is where right now the focus for us is to train the entire LLM model by launching as a pilot across all the hospitals so that no doctors, the nurses, hospital admin, the staff members, the more they use it, the more the LLM will learn, right? Unlike any other, no other let's say any other industries where the data is publicly available, healthcare is not. Also, there are a lot of projects. So right now the team's goal is to not just as a pilot across all these hospitals, let the doctors use it, let the LLM learn from the usage. And the more it learns, more it improves the accuracy, right? So that's the kind of thing we are working on right now.

SPEAKER_01 4:15

And then share, how did you get into healthcare? Uh, why healthcare?

SPEAKER_03 4:20

Yeah, yeah, that's a great question. It started from the I would say many, many founders or the users start with a vision with an entire strategy business plan. Mine was entirely different. It was a personal calling, right? I'll tell you, in COVID, during COVID 2020 or 20, 2021, when the Delta Wave started, me, my brother, my wife, all of us were severely affected. We are quarantined, we are in the same hospital, right? And now the next day, I think we spent around three to four days, and the next day when I woke up, I didn't see my brother. So we lost him, right? Now, when I went bad after you know, when I got everything was fine. Now, when I wanted to find the root cause, you know, they said that there was no medicines available, there was no medication, there was nothing available, his data was not there, all these things were missing. So the primary cause, it might be because of the all these things. The primary cause was that there was no nothing, the hospitals were not well equipped or well well thing to like take care of all, right? So it became like a personal vision for me, right? How can I if if there's a hospital like that having a positive problem? So how can I stop it using AI, right? Can I use AI to make sure that hospitals have all the data, all the information, everything? Because during COVID, everything was QD. They were just getting admitted, but no one knew that about anything. Nothing was known in a proper structured way, right? And I thought, well, can I use AI? Can I use the skills I have gained to solve this root-level problem? So that's how our journey started in healthcare. Although I worked in the healthcare sector for a couple of years, but that was more into like being a corporate employee, not as an entrepreneur. And then I started searching all these things, no, taking the hospitals. That's why when a patient is in a need, nobody's prohibiting to save him. So they said that we don't have data. All these prescriptions, this manual, on written on paper, so we are not able to see his past records and everything. So when the systems collapse, that is like a COVID or worse, no one has the data, right? All these files, everything is gone, right? So they said no, the primary reason why healthcare is failing in this industry, in this uh kind of area, or maybe countries or success is that because we don't have access to information, access to data, access to structured data in a proper way. So I thought, can I solve it using AI? And let's say a patient comes in suddenly any in any kind of emergency, right? And the admin is trying to figure out his work group, his past health records, asking his family members to WhatsApp me, send me his health record. Whereas imagine there is something, no, system that has stored, say, the data from last 10 years, right? And you just go to that chat to type in Mr. Curry is in hospital and I want to see his last 10 years record. Now that system sends you everything with one prompt. Now, see, during the emergency, how it can save life, right? Whereas in this, in the first case, just trying to ask your family relatives to send the records to see all the data. Whereas in this case, everything is there on your one from right. So one prompt can save a lot of lives. So I thought instead of you solving big tech problems, can I solve this big healthcare problem, right? So that's how my journey started with that. It was a personal calling, but from there I picked up now, they are here almost for everybody to be rolled out to improve all these clinics.

SPEAKER_01 7:50

Yeah, yeah, and I find that with probably a lot of entrepreneurs these days, and they have something that personally affects them, that goes very deep. And when in your case, like a family member, and that's when it really settles in to say, oh, there's a huge problem here, and we weren't able to get answers immediately with things going on. So how can we improve this? Hopefully, while our loved one is still here, but if not, many people still continue on to say, hey, if this is going to help somebody else, then we definitely want to pursue and move this so nobody else, nobody else's family members have to experience this type of we don't have an answer. We don't have an answer.

SPEAKER_03 8:32

Right, right. I mean you'll get shocked. All these hospitals are highly tech hospitals, highly tech, you know, they have all the equipment, but they don't have access to data. They don't know who is the patient is coming in. They're the they are you know they are kind of clueless what is happening during the admission, during the discharge, during claim processing. No one knows what's happening, right? That's and especially during the crisis, no, where is no when the patient is in the kind of emergency state, it's difficult for the hospitals to gather all information in one minute, right? And imagine that the system that it can get you all the data, everything with one front, it can save so many lives, right? And we are using AI to trading, you are using AI in Word, Cloud is being used in Word. So why not using AI to save lives? So that's the primary purpose of no of this IXP. That how can we use AI to save lives, right? Not about, no, no, no, it's not about of course the company always wants to make money, that's a tertiary goal. The primary goal, no, the purpose is that how can we use AI to save lives? That's why RXPD always starts from a started from a personal aspiration, but now it has become a quite a region for us in that company.

SPEAKER_01 9:53

I think that's amazing too, because recently at our home, some of our insurance has j I think it's Blue Cross Blue Care Network, has just said that they uh potentially may not be in partnership with the U of University of Michigan hospital because U of University of Michigan wants to make sure that their doctors, their staff, their nursing, all of them are getting paid appropriately rather than being reduced in payment from Blue Cross Blue Shield. So if they're still talking, but they say potentially in the next two, three months, it may be that Blue Cross Blue Shield no longer covers U of M, so they're giving people some alternative hospital systems to go to if this disruption happens. And I can see as a part of this, when you're talking about saving lives and improving those rates because of the speed of accurate information, this can be huge in the viability of why, if let's say University of Michigan has this technology, why would you want to take them out of the system and pay them less when they're actually doing a greater value to society? So, yeah.

SPEAKER_03 11:02

Absolutely. It has many use cases, not just claim lab report. Let's say no lab report, right? Now very difficult for a doctor for a hospital. No, no, I mean seeing his lab report from last one year, two years, very difficult for them to diagnose the entire thing, right? Now, with this system, no, we have a RAG system where all these lab reports are uploaded, right? When you just write in one query, show me this this patient's lab report from the last ten years or one year or five years, let me know what the issue he's facing, right? So this AI can check this database to kind of use the RAG system to check all the lab reports, then check with all this new all this open LLMs or DM LMs, and tell the doctor this is like that he might be facing. So imagine that the kind of you know time the doctor would need to conclude or at least derive to the conclusion to go through all these things. Now he can at least get some idea about it within five five minutes, two minutes, right? Or even one minute, right? So that's kind of speed and the kind of things they are bringing to the hospital, the doctor, helping them to diagnose the disease, a kind of thing that that's really not fantastic. Imagine now, medical imagining, right? Now, if you say the cancer cell, right? No, if you print one cancer cell, if you just print it, it will be the size of maybe 10-story building in an on an on a paper, right? Yeah. That is why the diagnosing cancer is very difficult because no, the sand is so huge. When you're trying to diagnose it, it will take so many years. Now, medical AI, imagining, we can see, not possible to diagnose 100%, but at least you would be able to see figure out where the issue is, right? So it can save so many lives, right? So it has a lot many applications, not just uh booking, claims, lab reports, diagnostic, no cure disease, right? So it's a no well uh thought like strategic thing that they are doing. No, both helpful to patients or doctors in the same lives, and then improving the speed and efficiency of healthcare.

SPEAKER_01 13:05

Yeah, no, I think that's great because I think like in stroke cases, like with my mom had a stroke and passed away from that 12 years ago. And yeah, and it's all about the speed. It's like, okay, when did this happen when did this stroke happen? When did they fall ill? And then how quickly can we start the procedures if there's enough time before the body cells die or whatever the technical terms are, but speed is of the essence, and once again, with accurate, good data that's structured, that can give you some really good potential solutions and next steps, next steps, the most important ones. Yeah.

SPEAKER_03 13:42

Data is everything. Data is understanding healthcare data is everything, right? And we're washing no wearing Apple watch. Why? Just to track data, right? So I'm imagining they do like that, can analyze data and give you at least not reality, honestly, in medical nothing is accurate. It's not possible to accurate because doctors know everything, but at least can give you some information that can be helpful for you to derive to the conclusion, right? So we are helping doctors that kind of information so that they can so that it's helpful for them to take a decision, right? So we're not no, we're not taking a decision, right? Because no LLM or health care, to be honest, cannot predict the way doctors can do because it always comes from SPM, right? But actually it's the kind of information they need to take it by helping them with that. So that kind of really, you know, expertise speeds up the you know, you know, kind of pure process. So that's what we think we are doing. Yeah.

SPEAKER_01 14:38

Yeah, no, that's great. And I would assume as you are developing this technology for the healthcare system, you've come across some challenges. So are there things you yeah, many challenges. Can you share some? Can you share how you kind of stay aligned with your vision on accomplishing what you're trying to do? How do you stay aligned when you have challenges? Yeah.

SPEAKER_03 15:01

Right, right. I'll tell you the first challenge was data. Because hospital data is confidential. You go to any small clinic, any hospital, especially in the US, you know, know all this regulation, everything, so compliance, right? And without a data, it's difficult to train the models, right? Difficult to train the models. Even if you take some public random data, it won't be able to train the models, no, to those fine tuning of LLMs properly, right? You need the proper data, right? First challenge that we face that it's an STI, it entirely relies on the LLM also, how we use it, all the data, right? So first challenge was always getting the data, right? So, and now how we overcome that? We went to the hospitals, the clinic, we showed them our models. We told them you use the tool for your cost, although we are burning money on tokens because tokens are expensive. That's why Charge GPT, open AI are kind of raising valuation, so raising money because tokens are expensive, right? Every token you use on OpenAI or GCP or any token you use is super expensive. So we told that we're gonna we are going to make laws, no issues, use it, let your team use it. So that's how initially the challenge was first getting the data. We kind of set this to free of cost to them. Let them use that, and then no, that data we use to train our model. So first was getting the data. So we kind of know when your vision is clear, you don't think of profits, right? You think of whether I'm making a loss, it doesn't matter. But no, the vision should not be compromised, right? So that is why what we tell you about two performance, we've made so many losses, but we went on uh with that, and that kind of helped us to overcome that no that MVP to version one to version two to the front. So, number one learning never think of profits from the table. Never think of profit because because if you are always money oriented, profit-oriented, then you will not be able to achieve the larger vision. See, Amazon, right? It was not profitable from initial for 10 years, right? Now it's a big company, right? Likewise, if you're aspiring a big vision, you should never be, you know, like uh money-oriented or making your profit or from day one, right? Always try to focus on the vision. That will guide you in the right direction. That's what my father I would say in terms of challenges from that.

SPEAKER_01 17:25

Yeah, that's huge, because I know a lot of people, as they've started way more businesses since the pandemic, people want to have that profit. I want to make a ton of money, I know I can make a ton of money, but in that case, they may be focusing a little too much on that rather than the long-term vision, as you said, which guides all of our choices and decision making and really reaching that goal of serving people. Because if you're not ultimately serving people or there's no value to it, it's not going to be a long-term business anyway.

SPEAKER_03 17:55

Right, right, right. Because those long-term business, no, when you want to make an impact on the society, you have to compromise on all these things. Like you cannot simply think that no, if like that from the day one itself I should be making a profit, then you cannot make an impact. You are always doing a short-term business, maybe some kind of fungy scheme, make some money, then just disappear. But if you want to serve the community, make a big impact, you have to think towards your vision, overall purpose, and not towards no just like that. I should be making money profitable from David. So that's the kind of learning I have. But yeah, I understand other businesses might have different perspectives, but that's my learning that instead of being instead of money, think of the purpose and impact, and I'm sure you would go on and on go a long way.

SPEAKER_01 18:44

Yeah, yeah, no, that's great. And do you feel like there's any point in time where you've made a big move where maybe you weren't quite certain? And what else did you learn from that?

SPEAKER_03 18:57

So initially, no, when we reheld, right? So the big move was in between, you know, when we're almost, I would say around six to seven months there initially. I thought like I should start raising funds. I mean to be honest, it's the first time for me that being an entrepreneur, a full kind of professional entrepreneur previously. I was working, I was doing five hours, but never was like focusing as an entrepreneur. So I thought the big move should be like into VC. I mean even before making a product, making a MVP, I thought I should go and go and know approach a VC to raise money, right? Now when I did that, right, that kind of taught me a big lesson, right? When I approached many VCs. Because I'm known them, many of them in colour network, vicinity, I've known them for a long time. When I approached them, right, they told me one thing, right? Right now, your product is not ready. You have not even one customer. You are not even one, I would say, one validation, right? The least thing you should be thinking is to approach a PC. So that was the biggest wrong decision I make, right? I made I spent three to four months just to keep my phone. No, where I should building, no, I'm building my product, you know, sending it to hospitals, getting some testimonials, getting some client validation, right? I spent big, no, chunk of my time now on raising money, raising feet deck, approaching some network, telling them to prepare my peace deck, pitching them. So in that time, I also lost a lot of focus on my tech. So I lost a lot of the employees who were there in the beginning. No, because since the focus was not one, so in between many of them were disengaged from the vision. And then after two to three months, I realized that that's the biggest, like one of the biggest growth decisions I have made in my career, right? Instead of focusing on product, I focused on PC pitching or raising money. So then I had a setback, then I kind of thought about it, then and then I then it took me again three to four months to get back to the track, right? I had to, you know, talk to my team. I mean, no, like keep them aligned to every region, hire some new members. And when you hire some new members, members they they kind of take time to settle down, right? So that kind of pushed me back by six months. One big decision, you know, that kind of pushed me back by six months. So I will tell you that was the turning point. No. That when I when I took a better decision and I had policy. And also it's a learning. So we all learn from my mistakes. Right now, I have my and I have kind of launching this product, getting my customers, and we'll think up. We'll see if not down.

SPEAKER_01 21:37

Yeah, no, I I think that's a great story because the whole idea of if you're going anywhere, and I also have a private pilot's license, so I've flown for fun for over 30 years. And just the whole idea of course correcting. When you're on this journey journey, you may not know what obstacles you face or what challenges, but just uh have the determination to be willing. To course correct and be adaptable. So that's what I'm hearing out of this, instead of just giving up, you know. And have there been times where you felt like you wanted to give up, or you're like, no, I've got this vision and I'm holding strong to it.

SPEAKER_03 22:12

Right, right, right. Because entrepreneurship is going to be a roller coaster, right? Sometimes you go up, sometimes you go down, right? But persistence is the key. How you face, how you do not give up, how when the chips are down, when you motivate yourself, there's no one to motivate you. People are there, there to just there won't be anyone. Entrepreneurship is a lonely journey. Right. Tell you honestly. If you and your co-founder and maybe some of your team, but everyone has their own priorities, right? You are the only one who are driving it, right? So it's not an easy journey. So you have to go up, come down, right? It's also learning for you, right? You learn how to how to build an aeroplane driving off the cliff, right? So it's like that, right? Yeah. Not that being a corporate employee, it was just like going to an airport, booking a ticket, and flying on a business class. Yes. Entrepreneurs, if you go to the cliff and they take a jump from that cliff and build the airplane, right? Yeah, figure it out. That's a kind of that's a different approach. Entirely different approach. It's not meant for a thinking of being a no being a risk, you know, risk-free life, safety, safety net, or some kind of every month you're getting some salary, then you should not be an entrepreneur. It's a different, yeah, different world out together.

SPEAKER_01 23:30

Yeah. And when I when I've I've heard that analogy before, entrepreneurs jump off the cliff and they build an airplane on the way down. I've heard that before. And I was thinking, that sounds so crazy, but I'm like, it's actually brilliant in a way because you've got, in one way, you've kind of shut all back doors or all options, which has helped you to really clearly think, okay, I don't have a lot of options here. I'm still heading down. How can I create a solution before I hit the ground? In other words, I've got a timeline, I've got urgency, and I'm very clear on what I've got to do. Everything else is a distraction. Yeah, so I do love that analogy, and I understand it more now, but yeah, but you're right. There's a certain level of risk tolerance that you have to have in order to do something like that, because that security, like you said, if you're an employee in a corporate situation, then you don't have as much security on that income. But then again, if working at a corporate office or business, working in corporate does give some security, but as a lot of people have found out over the last 10, 20, 30 years, that's not even secure because you can't guarantee you're gonna have that opportunity. Maybe for today, but at a moment's notice they can stop that and say, hey, we're no longer need you at this organization. So in many ways, entrepreneurs who love entrepreneurship look at working as an employee as not security. I was gonna say insecurity, but yeah, but it's not very secure. So yeah, really just depends on.

SPEAKER_03 25:05

Especially these, right? These days, no, it's not even secure. Every day you hear a news, any company, MS, everyone is laying off, right? Yeah. So even jobs have become so insecure that you have you gotta try. And I always tell now, tell this, no, I kind of mentor many issues, many college grads. I tell them that don't look for jobs. Build something. It is a waste time to build something. Because you have AI, you have all these things, just become one idea, become one problem that really people want to solve. Become a larger problem, a larger audience, larger market, don't go to niche. And then you just start building it. That's it. Then I don't think that you need a degree to exist at all. All those factory-like degrees are outdated. You just build. And if you can build something, I think your life is secure. So that would I kind of do right.

SPEAKER_01 25:56

Yeah, no, I think that's great. And I I also came up with the just the thought that entrepreneurial ship, the security is in the opportunities that you're able to see. And just like you're saying, building and creating something is where it's at. Whereas maybe if you're working in a W-2 situation as an employee, it's not so much you creating things, but it's you supporting what they've already got going on there. Right. So yeah, I like that idea of building things, and especially at this time and age, because the access we have to knowledge, tools, tech, AI, all of that. We didn't have this 10 years ago.

SPEAKER_03 26:33

Absolutely.

SPEAKER_01 26:35

Yeah, we didn't have this.

SPEAKER_03 26:36

Until especially the barriers to deck is broken, right? You go to Cloud and you type something, it can build you an app, it can build you the entire architecture within 30 minutes, right? So the barrier to take, that was huge being an entrepreneur, that was entirely broken, right? Yeah. Now, this is the right time for everyone to at least try their I won't say luck, try their life here. Because it's not luck. I'll tell you honestly, entrepreneurship is 99% hard work, 1% luck. Maybe the timing is right, so your startup kicks off, but that timing comes once in a blue moon. But 99% is all about rejection failure. I'll tell you honestly, the kind of rejections I received in the last one year, I am not receiving my entire case. Because I'm not used to that, right? I go into an interview, I have two offers, then I have negotiate with one, then I join. So I never had to face rejection, right? Maybe at work sometimes there are some brainstormings, some kind of thing that your plan needs some update, but there is not a rejection, right? Being an entrepreneur tells you how to live with rejection. Every day there is some rejection. Every day. The 10 emails you send to a client, 10 to a CEO, 10 to a hospital, nine gets rejected. No, right, right. So that kind of tells you how to be resilient, right? So yeah, yeah, yeah. That kind of makes you a thick skin. I mean, how to survive, right? So try it. I think with the kind of things that are happening right now, I think everyone should try their own entrepreneur setup. That's what I feel.

SPEAKER_01 28:12

Yeah, no, this is great. This has been great. Well, thank you, thank you so much, Cell, for being on my podcast and for both your app that you're creating some great solutions for healthcare and also to some of the journey and some of the learning lessons. So thank you so much for being on.

SPEAKER_03 28:28

My pleasure, my pleasure, Cory. My pleasure. And yeah, if anyone wants to be connected to me, you can just send me an email to Cel H at the red rcpthealth.com. You can just go to my LinkedIn there, DM me. I'm always available to connect, to mentor, to share my knowledge, right? The more you share, the more you grow. It's the sharing is learning, sharing is growing, right?

SPEAKER_01 28:46

Yeah, right.

SPEAKER_03 28:48

So feel free to connect to me. I'll have to, I'd love to help you out.

SPEAKER_01 28:51

Awesome. Thank you.

unknown 28:53

Thank you.

SPEAKER_01 28:53

And I want to, you're welcome, you're welcome. And I want to thank you for listening to this episode with Sal and myself and just all the great information he shared about unapologetic leadership. And some of the things he mentioned were it's important to be an entrepreneur today, to build and create things. And you're gonna learn so many lessons by jumping off that clip and building that, so to speak, airplane on the way down, especially the learning lessons through rejection. That is huge, not to take things personally, but to realize those are opportunities for you to create a better widget or tech or business or opportunity to save lives like he's doing in the healthcare system. And also too, remember that many times we get conviction when things happen personally to us or our family member or something happens. But to use that in a healthy way where it becomes a calling like it did for Sal. And focus on the value that you create for people. And remember, when you're creating an app or anything, don't just focus on the pitch deck and what you're gonna share, but focus on getting real true validations that prove what you're doing is valuable. So thank you again for being here, and we'll see you on the next episode.

SPEAKER_03 30:15

Thank you, Greg.

SPEAKER_01 30:17

You're welcome.

SPEAKER_00 30:21

So that's it for today's episode of Unapologetic Leadership. Head on over to wherever you listen to podcasts and subscribe to the show. One lucky listener every single week that posts a review on Apple Podcasts or iTunes will win a chance the grand prize drawing to win a twenty-five thousand dollar private VIP day with Corey Dunham himself. So head on over to Unapologetic Leadership Podcast dot com and pick up a free copy of Corey's gift and join us on the next episode.