Why AI Won't Fix Your Company: What Owners Should Get Right Before Investing in AI
Every day brings new AI tools that promise higher productivity, better decisions, lower costs, and faster growth. It's easy for business owners to feel they need to jump on board now or be left behind. But AI can't compensate for weak leadership, unclear strategy, poor processes, inconsistent execution, or a dysfunctional culture. In fact, it can magnify those problems and accelerate bad decisions.
That's an ExitReadiness® issue. Buyers want to know whether a business is sustainable: whether it would keep working without the owner, and what they're really buying beyond revenue and technology. Strong leadership, sound decision-making, and well-designed business systems are what make a company valuable and transferable. AI doesn't replace those fundamentals. It amplifies whatever is already there.
In this episode of our AI & Exit Planning Series, Pat Ennis and Walter Deyhle, joined by Corby Megorden, talk with leadership expert and author Jürgen Dauk about why AI won't fix your company. Jürgen explains why company-wide AI rollouts often disappoint, why trusting people with decisions matters more than ever, what buyers look for, and what owners should fix first to get real value from AI.
Key Takeaways
AI is an amplifier. In a well-structured business, AI helps you grow faster. If the underlying setup is weak, AI magnifies that, and a lot of effort goes in without the efficiency gains.
Vague inputs produce vague outputs. If you're clear on your offering, ideal customer profile, and buyer personas, AI can generate strong marketing content quickly. If you rely on AI to guess at those fundamentals, the results won't be good.
Company-wide rollouts rarely pay off on their own. Giving everyone an AI tool overnight produces minimal gains if people keep working the same way. Small teams tackling specific problems or processes see big gains quickly.
Trust your people with decisions. People make major decisions in their personal lives, like marrying or buying a house, yet many businesses won't trust them with a $50 decision. Distributing decision-making makes both people and AI more effective.
Watch for the cost-cutting trap. When leaders spend heavily on AI, don't see the savings, and then cut staff to save money, they put the company under enormous stress.
Buyers buy people, not tools. Acquirers increasingly ask whether a company is a healthy system they could leave alone and still see it work. If it were just the tools, they could build it themselves; what they're buying is the innovation power of your people.
Leadership is shifting to enabling teams. The old model of reporting up and passing orders down is fading. Great people with better tools should produce great results, so build teams that can solve problems and experiment.
Empowerment isn't disengagement. When you pass decision power down, be clear about expectations and guardrails, stay in close communication, and address the fear that drives leaders back toward control.
Where to Start: Fix These Before You Invest Heavily in AI
Change how decisions are made. Move decision power closer to where the work gets done, and educate people so they can make decisions and use AI well.
Get the basics right. Be sharp on your ideal customer profile, your buyer personas, and how customers gain value from what you offer. Distributed teams can help do this work.
Find your leaders inside the company. If you don't want to lead this yourself, talk to your people. There's a good chance some of them want to step up, which also helps the company thrive after you exit.
About Jürgen Dauk
Jürgen Dauk is a leadership expert, author, and keynote speaker who helps senior leaders and boards redesign how organizations operate by improving decision-making, distributing ownership, and strengthening execution as companies scale. With decades of executive leadership experience at global technology companies including Oracle and Avaya, he has led international sales, operations, and business transformation initiatives throughout Europe. Today, he advises organizations on building modern Leadership Operating Systems that enable faster decisions, distributed leadership, and outcome-driven execution. His book, The Leadership Operating System, is available on Amazon.
Connect with Jürgen: LinkedIn
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Full Episode Transcript
This transcript was generated automatically and lightly edited for readability. It may contain minor errors.
Hey there, this is Pat Ennis of ENNIS Legacy Partners. Welcome to the ExitReadiness® PODCAST. I'm here with co-host Walter Deyhle as well as business partner Corby Megorden. Our mission on the podcast is to provide you, the business owner, with subject matter expertise on topics pertaining to building sellable or transferable business value, and then helping you plan that eventual and inevitable exit from the business. We want to help you build a business that is indeed transferable and then help you plan a successful exit with no regrets.
Today in this episode, we continue our AI and exit planning series, where we're exploring how artificial intelligence is changing the way businesses operate, compete, and ultimately create and accelerate value, and how it can be used in planning that eventual exit. AI is one of the most significant business developments, I think we'd all agree, that we've seen in maybe our lifetime. And every day we hear about new tools that promise to increase productivity, improve decision-making, reduce cost, and accelerate growth. But here's an important question we think we should all be asking along the way: can AI actually fix a struggling business? A business that's already struggling: can AI be the answer to fix it?
Can it compensate for weak leadership, for example, or poor processes, unclear strategy, inconsistent execution, or perhaps a dysfunctional culture? Well, we don't think so. We think the answer is not likely. In many ways, AI is powerful, and we will all agree with this too: I think it's a powerful amplifier. It can make a well-managed business even better. It can help great teams become more productive and better informed.
But it can also expose inefficiencies, magnify poor processes, which I think we're going to talk about today, and accelerate bad decisions if the underlying business isn't healthy to begin with. And so that's why we've titled today's episode Why AI Won't Fix Your Company. We're going to explore where AI does deliver tremendous value or can, where owners should be cautious about unrealistic expectations, and why strong leadership, disciplined management, and well-designed business systems remain foundational to every valuable, sellable, transferable business. AI doesn't replace great leadership. It amplifies it.
AI doesn't create great businesses; it accelerates the ones that already have strong fundamentals. And joining us today, we're excited to have with us our guest Jürgen Dauk. Jürgen is coming to us from Germany. He helps senior leaders and boards redesign how their organizations actually work, especially how decisions are made, how ownership is distributed, and how execution happens as companies scale. He has decades of executive experience in global tech companies, including Oracle and Avaya.
Jürgen has led international sales. He's led international operations and business transformation initiatives across Europe. And today he advises companies on building modern leadership operating systems that enable faster decision-making, which we all want, distributed leadership, and outcome-driven execution. So Jürgen, welcome. Thanks for getting up, I think, pretty early over there.
Or is it late over there? It's late. No, it's late, right? Six hours later. Okay. So you're wide awake.
Well, welcome to the podcast. It's great to have you here with us. And I think Walter's got our first question for you today, per usual. Hey, Jürgen. Nice to see you.
Let me start off with a personal question. I've always been told that my name is German, D-E-Y-H-L-E. But then I had a client from Germany who said he's never seen that name. I think I've seen that name in Germany, but I'm not 100% sure. Okay. Might be.
Well, you guys have the same haircut, so. Yes, it may be. Well, haircut is a bit of a big word, right? But Jürgen's working at five o'clock. I'm always off by then. That's true. You are.
So, Jürgen, let me start us off. A viewer seeing this topic could think that you're negative on AI, but I think the thesis here is that, like Pat kind of alluded to, AI can be a very useful tool, but owners have to realize that if they have underlying structural problems in their business, AI is not necessarily going to solve those. So, is that the correct thesis? And if it is, can you go ahead and expand upon that some, please?
Yeah, great question. I think, as Pat said, it amplifies what's there already. If you have a really well-structured business, AI can really help you accelerate and grow faster. The efficiency gains are great. But if the underlying system or the setup of your company is weak, it amplifies that, and a lot of effort will go into AI without seeing the efficiency gains.
Take just a small example. If you want to build better marketing inside your company, want to improve on customer acquisition, want to bring down customer acquisition cost: if you have been really good at defining your offering, if you're very detailed on your ideal customer profile and buyer personas, and you feed that into an AI, you'll be able to generate good content much quicker than before, right? But if you are vague on the inputs, the outputs will not be great. And what I've seen a lot is that the fundamentals are not great, and if you're relying on AI just to speculate on those foundational things, I think you're lost.
What I'm also seeing is, if you run a company and all functions are operating separately, and you tell your centralized IT department to implement an AI solution companywide, they go off, do their research, get offers on the table, and make a final decision on which AI to take. They roll it out companywide. So now, the next day, everybody in the company has got, let's say, Microsoft Copilot appearing in their Office applications. So what level of efficiency gains would you expect coming from that? I would say very minimal.
Hey, Jürgen, explain why. Explain why you think very minimal. Because if people continue to work as they've worked before, without a clear goal, without help on how to utilize it best, there's not much happening. And this is what I'm seeing a lot. Well, if you have smaller teams that work on really specific issues they're trying to solve, or have very specific processes that they want to improve on, and they have an external specialist coming in and saying, okay, we can optimize that with AI, you're seeing huge efficiency gains very quickly.
But this global and broad "we get AI," in whatever solution that is, and then expecting something great coming out doesn't work, from my experience. Yeah. Jürgen, you entitled your book The Leadership Operating System, and how does that concept influence what you're talking about? Because we often think mechanics when we think operating systems, but can you pull on that thread? Yeah, more than happy to, because it's a valid question, right?
I started writing that book when AI was just in its infancy. So I asked myself, would I write it differently? And what I was looking at was really the fundamentals of a business. How is a good leadership team structured? Are we clear on our ideal customer? It's not the customer we wish for, but the customer that is getting the biggest value from what we are offering.
Do we understand how a buying process works? Do we understand what kind of people we need, what skills we need for specific roles? So it's really the fundamentals in different areas of the business, and I think that's still valid. So it's not an operating system in the form of a prescription machine, like a fixed system, but rather the elements that you would need to shape your specific company into a well-oiled machine that will withstand the next change episode that is coming, and that would survive if you are exiting as the current owner and CEO. So really building the foundation for a sustainable company.
Yeah. So what I hear you saying is that, unlike some operating systems where there's a tool to implement the thing, like you said, there is a subjectivity when you get people in the mix, and that the fundamentals of people knowing what people are doing, and inputs and outputs, human inputs and outputs, really are key to implementing AI effectively. Yeah, absolutely. I think if you tap into the potential of the people you have, and if you trust your people more, you can be much better. You can make decisions quicker, and the inputs to AI and the working together of humans and AI become much more efficient.
And I sometimes find it funny how little we trust our people in middle management or frontline roles, right? In private, people are making big decisions. They marry, they buy a house. They make big investment decisions and big long-term decisions. And in business, we don't trust them to make a $50 decision, right?
So I think more trust in people, empowerment of people, and distributed decision-making really help, rather than concentrating everything onto one, two, or 10 people. Where are you seeing, Jürgen, in the work that you're doing with businesses, business owners most often expecting AI to solve problems like leadership or process or even cultural issues? Or maybe you're not? Well, I'm seeing a lot of senior leaders and CEOs with the big hope that AI will massively transform their company. And I think only those CEOs that are already looking into modern ways of running a company, which is more decentralized than completely hierarchical and command and control, are seeing benefits, and they know exactly what they can expect, because they know they have strong people who can uncover the potential of AI.
So there's a lot of trust. And then I see the more traditional leaders, who also have high hopes of gaining efficiencies, but are more skeptical, and they quickly realize things are not materializing as quickly as they wanted. They spend a lot of time and effort on AI. And what I'm seeing a lot in those cases is there's then enormous pressure to save cost. And since AI isn't delivering the cost savings in those cases, they need to fire people, right? And this is like fuel to the fire.
So they've spent the money and time and effort on AI, they're not seeing the efficiency gains, and then they're losing people. So they're putting the company under enormous stress. Yeah. It's been really interesting. A lot of that has been playing out right before our eyes.
There was, I think, Ford laid off thousands of employees thinking they could replace them with AI, and now they're hiring them back. I think the latest survey from businesses said they're going to be cutting back their AI spending in the next quarter, because I think a lot of them were in exactly the situation you're describing, where they thought they could just buy this software and it would get implemented and be transformational. And what they're realizing is it's not quite that simple, and it's expensive, so it's hurting their bottom line right now. And you can do amazing things with AI, right? It's more a matter of whether you have teams that are empowered to experiment with AI; they can see value.
But if it's prescribed, and, as you said, you're adding AI into a very rigid system, it's difficult to see the benefits that quickly. From an exit planning perspective, of course, that's the perspective that we always have in view: how do you think buyers of a business distinguish, or how should they distinguish, between a company that's using AI strategically and one that's simply, as you described, chasing the latest shiny object in regard to technology? So from my experience, buyers would always look at how sustainable the business is. If I bought that company, could I leave it alone and it would work? What is the potential over the next three to five years?
And I think in the past, companies were buying more the technology. I think today, more and more companies are looking at: is it a healthy system? How are the people? What am I actually buying next to the technology? So that will always be the question, then: buy or build. What am I really buying?
How innovative is the company? I think those things are becoming more and more important, and companies that are looking to acquire are looking much more into those details than in the past. So it's not just revenue or technology they're buying. So, Jürgen, are you saying that in a way this new technology can almost send a message that the human interaction is less critical, so we don't need to invest so much in them? I'm almost hearing you say no, leadership really needs to ensure they're investing in their, quote, human capital, so that the power of the tool is actually more effective and more efficient.
Absolutely. Absolutely. If it's just the tools, you can do it yourself, right? It's really around this human capital, this richness of people with their creativity and their experience. That's key, 100%.
So you're buying the innovation power of the people and not the tools. Yeah. And so, hey Jürgen, in regard to that leadership that Corby just mentioned, what skills and aptitudes are leaders and managers going to have to have going forward? Because we're all going to be using and leveraging AI, or we're not going to be competitive; we're going to be left behind. So there needs to be leadership, there needs to be management, we've established that.
What kind of skill sets do those leaders and managers have to have going forward that maybe they haven't had to have in the past? Well, it's much more about real people leadership. The simple "I do reporting, I report back to higher management, and I give my orders downstream" doesn't exist anymore. That will be a thing of the past. So I think modern leadership is really understanding how to enable people, how to form teams that can solve problems and that are able to experiment and find new ways.
And I really loved a recent interview with Jensen Huang at NVIDIA, where he basically said that if he hears CEOs thinking about cost savings and firing people because of AI, those CEOs have lost imagination. Because just imagine you have great people, and then you give them better tools. Great people with better tools should be able to produce really great results. But if you're trying to get rid of all the people and just take the technology, who's doing great things with that? That's right.
Okay. So, we like to give listeners one, two, or three practical steps they can take to address the topic that we're talking about. From your perspective, if an owner wants to leverage AI successfully over the next two or three years, what do you think they should look to fix first, before maybe even considering implementing AI? I would say number one is really how decisions are made in the company. If you're moving decision power closer to where work gets done, you will enable the people to find the best solution, including AI, to solve problems. So that is the first thing I would really look at, and educating the people to be able to make decisions and to be able to use AI.
That would be my number one. Number two is really getting the basics right. But this can, of course, be done in distributed teams, like I mentioned earlier. Really being sharp on who your ICP is, who your buyer persona is, and how your customers are gaining value from whatever solutions or services you're offering. But the first step is really enabling your people in decision-making.
Very good. And most of the businesses that we work with, Jürgen, as you know, are up to $40 million or so in revenue, and a lot of them are founder-led, either baby boomers or next gen, or Gen X. Is that what comes after baby boomers? It is, right? I think yes, but I'm not 100% sure. Yeah, that's right.
And maybe they don't see themselves as leading in this, for whatever reason. Maybe they just don't want to. How would you tell them to identify or put leadership in place if they're really wrestling with that? We need leadership for this, I don't want to do it, how do I figure out who's going to do it? I think the easiest way is to talk to people, right?
There's a good chance you have great people around you and inside your company who would like to step up and help shape that. And the more you do it, the less you have to worry about doing it all on your own, and the less you have to worry about whether the company survives after you step down or exit. Hey Jürgen, could you put an asterisk on that thought, though? I think at times owners, to Pat's question, can go, "Okay, well, I'm going to assign that to Sally, and she's going to take care of it," and disengage themselves. How critical is it that senior leadership remains engaged, so it's clear this is companywide?
Yeah. Right, not a project. I think clarity in communication is super important. If you are passing decision power further down the org chart, it has to be 100% clear what is expected, what the guardrails are, and how you want to communicate. So it's not about being disengaged; it's about "I don't have to make all the decisions myself."
So, this is what I want you to decide, those are the guardrails, and let's be in very close communication. If you are unsure of what is expected, let me know. Or if I'm seeing this maybe going in the wrong direction, let's recalibrate. So it doesn't mean disengagement, but empowerment. And I think this open and transparent communication is key for this change in decision-making power.
Yeah. I hear you almost emphasizing Kotter's classic: leadership change requires communication, communication, communication, and then empowerment, building a coalition. Yeah. And let's not forget, a lot of leadership is fear-driven, right? And to tackle that, you try to control.
So if you want to let go of control, you have to address the fear behind it. What could go wrong? What if? You have to address that. If you're not addressing that with proper communication and really in dialogue, then you'll amplify the fear, and people will have the tendency to flip back to control.
Yeah. Very good. Very helpful. Well, excellent conversation, Jürgen. Any final thoughts as we wrap up? We're going to ask you if there's something you want to promote, and if you want to share contact information, but before we do that, any final thoughts on what we've been talking about today?
Are there any questions that we should have asked you that we didn't? For example. So, a final thought would be: build people-centric organizations, right? Tap into the creativity and power of the people. That would be my most important message, I would say. And yeah, I would be interested in what you are seeing when you're helping companies on their journey to exiting.
What do you see behind the scenes? Walter, Corby, you want to go first, or you want me to? I'll just share a thought. Right now I think there's just uncertainty. There's that fear of missing out, to say, "Oh my goodness, that train is leaving and it's moving fast. I'd better jump on it."
But it's kind of reactionary. And so that either leads to running after something totally, or just going, "Ah, never mind, I'm going to ignore it." And I think, with that learning curve, people are coming down the learning curve, but it's probably confusion and uncertainty for now, because they don't know. Yeah, I think that's well said, Corby. There's uncertainty, but certainty too: certain that it's here, it's here to stay, and we've got to get on board.
The train's left the station, but it's reactionary. We're seeing that, where historically business owners that we work with might buy new software thinking it's going to be the solution, only for the software to not be implemented at all, or not implemented effectively, because there was no strategy, or the processes that were foundational to the software remained bad. So there was no strategy to it. It was, like Corby said, reactionary. So that's a concern we have, because the business owners we work with take action.
That's why they've been successful in building a business. They're action people. And so: the train's left the station, we've got to get on it, let's take action, you get on that, let's make something happen, let's put it in place. Rather than taking a step back, looking at the big picture, slowing it down a little bit, and creating a strategy like what you have put forth here today. I think that would be our perspective at this point.
Thanks for asking the question. Appreciate it. Walter, did you have anything to add to any of that? Yeah. So, Jürgen, what do you want to promote today?
You wrote a book. You want to promote that? You want to promote other stuff? What do you want to promote? Yeah, definitely. I want to promote my book, and not so much because I think I'll earn a fortune with the book, right?
I'm really passionate about building better businesses, and I tried to contribute to that. The book is called The Leadership Operating System and can be found on Amazon. And there is a corresponding website, and if you go there, you can find a ton of free-of-charge templates that you can use to do some self-assessment on where things go wrong in your company. So it might be worth downloading. The website is theleadership-os.com, and you simply leave your email and you can download a few really, I think, helpful assessment sheets.
Excellent. And if they want to contact you, they would contact you through the website? Either the website, or I can be found on LinkedIn, where I have a following. So, Jürgen Dauk on LinkedIn; it would be nice to connect. I would also like to hear your feedback. What do you think? Where do you see things differently?
I'm always happy to hear your feedback. Excellent. Very good. Thank you, Jürgen. Thank you for joining us. Thank you for working past five o'clock today. Not all of us do that.
And listeners, if you'd like help creating value, accelerating value, making that business of yours more transferable and sellable, or getting ready: a plan is the easy part. Frankly, you can get a plan in a minute on ChatGPT, but we can help you get ready with accountability, execution, and judgment. You can reach us at email@ennislp.com. And if you'd prefer to move through a planning process, at least at the beginning, at your own pace, take a look at our ExitReadiness® DIY™ platform at exitreadiness.com. There are a few different levels there, and you might find that very helpful.
Thanks for listening. As always, if you found today's conversation helpful, please consider liking it, sharing it on social media, and then subscribing. We'd appreciate that. So, until next time on the ExitReadiness® PODCAST, this is Pat Ennis with Walter Deyhle and Corby Megorden signing off. Thank you.
