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Foreign welcome to Coruscant Technologies, home of the Digital Executive Podcast. Welcome to the Digital Executive. Today's guest is Ken Gabronovic. Ken Gabronovic is a seasoned technology executive, global keynote speaker and member of the Thinkers 50 and the Forbes Council, renowned for helping brick and mortar businesses leverage AI and advanced technologies for immediate impactful results. With over three decades of experience, Ken has collaborated with top venture firms guiding over 18 successful exits, 35 mergers and acquisitions and one IPO. Ken's expertise spans iconic brands like Disney World and Seven Eleven, where he implemented technology solutions that improve customer engagement and operational efficiency. As CEO of Product Genius, Ken pioneers AI powered tools that turn real time data into meaningful customer interactions, empowering customer facing businesses to achieve measurable improvements in service and efficiency. His career highlights include founding Interland now Web.com, where he grew the company from 0 to 200 million in revenue in just three years before leading it through a successful IPO. Ken also held executive roles at New Relic and Cox Automotive where he spearheaded digital transformation initiatives that enhance customer engagement and operational performance. Known for identifying and capitalizing on transformative trends, Ken offers invaluable insights for business leaders navigating today's foundation fast paced tech driven landscape. Well, good afternoon Ken. Welcome to the show. Brian.
B
Thank you so much for having me.
A
Absolutely, my friend. I appreciate it. Jumping on a podcast today. You're hailing out of the Atlanta, Georgia Alpharetta area, I guess, and I'm in Kansas City, so we're just an hour apart. But I do appreciate you getting on a podcast with me today. So Ken, jumping into your first question, you've helped over 18 companies exit successfully and led one IPO. What are the core patterns or indicators you look for when evaluating a business readiness for that kind of growth?
B
Good question, Brian. I'd say I think there's probably two parts. The first part is where you are, you're where you're on the cycle. So you're from. You think about it, you want to have the trend to be your friend. You want to have the right people and then the capital to execute. I think that's kind of the first part and I look at that trend and quality of leadership team. The other part, I think that's an interesting thing. A lot of times people go about life and they're like how do I get to my goals? What what I've seen very consistently with people, including myself are able to kind of build that startup to IPO or have those big exits. It starts off with a really crisp vision and this is where it gets a little bit different than most people do. Most people go from vision to how. What I've seen is when people go from vision to why and it's a must. Like that vision of where they want to go, they know why they want to go there and it's a must, not a should. Then the house come automatically and you'll keep pivoting and pivoting and pivoting to get to the right exit. I think that's probably the key thing. And I remember one time I was sitting with a guy named Bill Gurley who funded Uber Benchmark Capital, very, very well, well known vc and I was talking to him about Zillow, which at that point wasn't public and you know, really was kind of nonexistent. I said, you know, just out of curiosity, why'd you guys invest in Zillow? How's it going? And he said, well, it was great because we can get the entire Expedia team. So when you have a team that's aligned to that vision, that why and it's a must, they'll figure out the how. And that's where I've seen that big success.
A
That's awesome. Thank you. And I appreciate you breaking that down for our audience and myself today. Obviously trend be your friend. I like that. Hire the right people and obviously leveraging that capital. But how do you get to your goals was the thing that really stood out for me is having that really crisp vision and having that why it's a must. Obviously if it's not that, then you're not going to get there. Totally get that. But hiring that right team is so, so important. And we all know this. Whether you're in business as an entrepreneur or you working at the corporate job, we've seen it time and time again. So thank you. Ken, at Product Genius, you're using AI to turn real time data into customer interactions. Can you share an example of how this technology has transformed a client's business operations or service delivery?
B
Yeah, I will. And let me just give you a little context on how I think about AI and kind of what's coming if you think about in modern businesses. And I'll talk about some retail and customer interactions you specifically asked about. There's lots of interactions. We've all been in business meetings where there's this report that has a bunch of KPIs. None of them are actionable and just kind of a waste of everybody's time. What I believe with AI is AI is going to allow us to Capture various aspects of our business that before either we couldn't capture or was not actionable. And I can build do that pattern matching to give us those true insights. So now to answer your question with real time data into customer interactions, one of the things that we're doing with Product Genius is really thinking about how do we take AI and bring that to SMBs Enterprise larger companies, they're already embracing it, they're well on their way. Many times you're getting AI from SaaS. But if you think about a typical business that we go into, we walk into the business, we have a good or bad experience. There's reasons why we found that business, located it, we have an experience, we leave and we kind of vote with what we tell our friends or we never come back unless we're really, really upset with that business. And maybe we give them a zero Google review or we give them a five star and that's kind of on the outlier. And so what we've seen, there's a lot of those interactions aren't simply tracked with Product Genius. We've installed QR codes, for example, in retail establishments that allow customers to instantly give feedback, to ask questions so they can, or even if they're on the website, so they can go and say, hey, what's the special? What's, you know, I had a great experience with someone, basically capture a lot of those interactions that otherwise would never be captured in any way. And what's interesting as we've installed this in restaurants we're seeing and the way the system works is it sends a weekly report to the business owner. It says, hey, it looks like you have a staffing issue on Wednesdays from 3 to 5. It looks like the bar's staffed light from 8 to 10. Or maybe someone's not cleaning or maybe you've got a really great hire. Really, you've got a really bad hire. Instead of learning that, you know, typically a business owner will learn that through kind of the word of mouth grapevine. What we're seeing is instead of learning it in three, four, five or maybe even two months, weeks, they get to see it instantly. And so we're seeing them see really the ability to quickly understand what's working, not working on their customers and pivot in real time.
A
That's amazing and I'm glad we're starting to leverage the technology like QR code. You talked about it, we all know about reports to nauseam and they're wrong, no one wants to read them. But with these different interaction points, AI obviously can Capture the right ones and can do much, much more, much faster. Again, back to the QR code. Providing that real time customer feedback will help the business owners obviously improve that business. So I appreciate that. Ken, as someone who's seen multiple waves of digital transformation, how do you evaluate which tech trends are truly transformative versus just hype?
B
I would say probably there's two ways to measure it. One is the if you think about what's the potential value of this transformation, so that's kind of on the pot. And the other one is just look at the market trends. What's the adoption rate? If you want to go way back in the day, when I was in my 20s, I had this crazy little thought that every, every business was going to run their business on the Internet, started a business, took it from 0 to 200 million, took it public, and because it was clear to me that the Internet was going to totally change the way we attract customers, the way we inform customers. And I already saw the traction that was going like the first month in business, we did $40,000. So I think when you see that there's clear traction, that makes a lot of sense. If you think about digital transformation, which I've done a couple years ago, big enterprises, it just made sense from an efficiency perspective. When you looked about kind of the future state versus current state, you could see, you know, with dollars and cents, the efficiency you're going to drive in that organization. And then I'll take it back to AI. I think AI is really interesting. If you look at it, this is the fastest growing adoption of a technology trend in the history of man. I think AI is going to be more transformative to every single aspect, both good and bad ways across the board. You know, again, I think it's what's the adoption rate and what's the potential of perceived value? I think are the two things that I look at from a trend perspective.
A
Thank you, I appreciate that. And I like how you've got lots of experience here. But leaning into the trends that are certainly going to be transformative or are changing things currently, you highlight an important one I think is that AI, which I would agree with, is the fastest adoption of technology that we've seen in the history of the world. So really appreciate your insights, lots of them that we could talk for hours on it, I'm sure. Ken, the last question of the day. Many companies struggle to make AI actionable. What advice would you give leaders looking to implement AI in a way that generates real measurable roi?
B
Brian, Great. And I work with A lot of private equity companies that are really moving fast to AI ify their businesses. I'll give you some specific hints and then I'll give you just a structure that works in businesses. If you really want to totally embrace AI without hiring consultants, then get somebody in your organization who really loves AI, understands AI, have a leadership meeting, bring that person in and explain to the rest of the team the power of AI. The power of it being able to pattern match, the power of it being able to take all of the different aspects of data and then challenge your leadership team to go off into various aspects of their business and, and come back with real actionable areas to implement AI and then actually test it and show the results. You're going to have some wins, you may have some misses, but that continuous improvement, we've kind of, kind of an AI working group, that's what I've seen just move really, really well with private equity funded companies, whether it be 10 million or 200 million or 300 million. And what they're seeing initially is from a benefit. The easiest of course is if you've got developers. If you implement AI correctly, for every three developers you actually get another developer free. In the VELOCITY we're seeing 30 to 40% code output quality. Good. We also see that in QA there's some things you can do in there. So in your engineering team that's a real easy fit from your sales team, there's a lot of opportunities in there. It's really, you know, thinking about how we're creating, you know, new proposals and so contracts, we've seen a lot of benefits in there. So I think contracts, sales contracts, those are huge areas. And then beyond that, certainly customer service service is a key area. Anything that's repeatable, where somebody has to do step A, B, C, D, E, F, G, that's where AI can come in and really revolutionize it. So again it's that cross functional team at the leadership and then go do and focus on specific areas and then you'll start to see tremendous benefits and your team will just start to see the wins and that will amplify the wins.
A
Amazing. I appreciate that. And certainly we should lean into that really the leadership of the company, right? That cross functional team, they can go out and look at their different business lines and see where there are some use cases where we could apply AI. But I like how you highlighted that if you find somebody in your org that's in the technology space, knows AI, maybe loves AI and leans into that a little bit, can certainly help the leadership team with some of those use cases. Also, you mentioned leveraging AI in the sales team and then have customer service, which is huge today. Of course, conversational AI is becoming so good, it's actually replacing people on the phones, which I've seen in action, and it's amazing. So, Ken, I appreciate all your insights today, and it was such a pleasure having you on, and I look forward to talking to you real soon.
B
Thanks for having me, Brian. Have a wonderful day.
A
Bye for now.
Podcast: The Digital Executive
Episode Title: Ken Gavranovic on Leveraging AI to Transform Customer Experience and Drive Business Growth
Air Date: May 18, 2025
Host: Brian Thomas, Coruzant Technologies
Guest: Ken Gavranovic, CEO of Product Genius
This episode features seasoned technology executive Ken Gavranovic, recognized for his expertise in guiding brick-and-mortar businesses through digital transformations, particularly leveraging AI to improve customer experience and operational efficiency. The conversation centers around actionable insights for AI adoption, identifying transformative tech trends, and the organizational mindset required for successful business growth.
Ken Gavranovic communicates with clarity, blending big-picture strategic thinking with concrete, operational examples. The host keeps the conversation focused and engaging, making complex AI and digital transformation concepts relatable for a broad leadership audience.
This episode offers a concise, actionable playbook for modern executives looking to leverage AI’s transformative potential. Ken’s insights underscore the unmatched speed of AI adoption, the need for strong internal leadership around AI, and the potential of real-time data to meaningfully improve both customer experience and operational efficiency. His practical advice and memorable frameworks—vision-to-why, finding internal AI champions, and forming cross-functional AI working groups—make it a must-listen for business leaders navigating rapid technological change.