The RevOps AI Trap: Why Automating Ambiguity Kills Scale | Casey Cease

 

Brendon Dennewill sits down with Casey Cease, Founder of scalingbusiness.ai and serial entrepreneur across branding, publishing, and emerging technology, to explore what it actually takes to scale a business with AI before operational chaos forces your hand. Casey brings a grounded, systems-first perspective built across decades of working with founders, franchise networks, and growth-stage leadership teams, and his message is clear: every scaling company is already an AI company, whether they are ready for it or not. Most organizations are not held back by a lack of tools. They are held back by automating ambiguity and mistaking motion for strategy.

The conversation takes a sharp turn into the hidden costs of tool-first thinking as Casey unpacks why deploying AI without a documented workflow is one of the most expensive mistakes a leadership team can make. He and Brendon explore the tension between the pressure to move fast and the discipline required to build systems that actually hold at scale, while examining how the "significance trap" quietly prevents even the most capable leaders from letting go of what got them here. Moving from diagnosis to execution, Casey details how businesses can build people-first AI frameworks that amplify high performers, reduce decision fatigue, and create compounding operational advantage.

This episode is essential listening for RevOps leaders, franchise executives, and operators who want to close the gap between AI potential and AI performance and build a growth infrastructure that scales without breaking the people inside it.

Read the full transcript.

What You'll Learn

  • Why strategy always comes before tools
  • The three components of every AI agent
  • Systems that protect people, not just processes
  • When to trust AI with a decision (and when not to)
  • The hidden reason leaders resist necessary change
  • What separates high performers in an AI-enabled team
  • Franchising's "rule of threes and tens" explained
  • AI as rocket fuel, not a replacement

Resources Mentioned

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About the Guest

Casey Cease - Guest Photo

 

Casey Cease is a Founder, strategic advisor, and investor with over 20 years of experience building businesses, developing leaders, and designing scalable systems that help entrepreneurs grow with clarity and purpose. He is the Founder and CEO of ScalingBusiness.ai, where he helps organizations eliminate operational friction and unlock growth through AI, automation, and intelligent systems design. He also leads Planify Agency, a marketing and automation firm serving service-based companies, and Lucid Books, a partnership publishing company helping thought leaders write and launch high-impact books. Through his coaching and advisory firm, Casey Cease and Company, he works directly with growth-stage founders and leadership teams to bring strategy and structure to the challenge of scaling effectively. Casey invests privately in digital assets and privately held companies, and holds a degree in Psychology from the University of Houston and an M.Div. from Southwestern Baptist Theological Seminary. 

Episode Transcript 

Introduction

Brendon Dennewill: Welcome back. Today I'm joined by Casey Cease, entrepreneur, advisor, investor, and founder of scalingbusiness.ai, where he works with business leaders on growth strategy, AI adoption, and strategic decision making. Casey is also the founder of Casey Cease Company, Planify Agency, and Lucid Books, bringing together experience across branding, publishing, entrepreneurship, and emerging technologies.

Over the course of his career, he has worked with founders, growth-stage companies, and leadership teams on how to scale businesses through clearer positioning, smarter systems, and better strategic execution. In addition to his operating and advisory work, Casey is also active as an investor in AI and blockchain-related technologies, bringing a forward-looking perspective on how innovation is reshaping business models, decision making, and competitive advantage. Casey, welcome to the RevOps Champions Podcast.

Casey Cease: Hey, Brendon, thanks so much for having me. It's an honor to be here and I'm really looking forward to this discussion today.

Brendon Dennewill: Yeah, me too. As I was reading your bio I was looking forward to this conversation.

Casey Cease: Well, it's redeemed ADHD, but it looks much nicer online.

Brendon Dennewill: Yeah, absolutely.

How AI Is Changing the Way Leaders Scale Businesses

Brendon Dennewill: So Casey, you work at the intersection of AI, growth strategy, and decision making. How do you think AI is changing the way leaders scale businesses today?

Casey Cease: I think there's an intended way for it to work, and how it's working right now is causing mass confusion and chaos for some people. For others, there's a lot of timidity. I'm actually shocked, Brendon, by the number of business owners I speak with outside of our circles that want nothing to do with AI. They get the concept, but they're worried about privacy, or they're worried about what it's going to mean. There are a lot of companies I've spoken with that are afraid their employees won't adopt it because the employees are afraid they're going to be replaced, and so they're balking against it.

On the flip side, I think when it's at its best, AI implemented correctly will actually enhance the best performers and human interaction. At least that's my aim, and why I've opted to be proactive and engaging in that space: to really help enhance human performance and to optimize human engagement.

The Origin of scalingbusiness.ai

Brendon Dennewill: Maybe let's go back to what were the two or three things that led to you founding scalingbusiness.ai?

Casey Cease: I learned years ago that I can try to bring something to the market and try to create demand, but that's much tougher than when people start indicating there is demand. There were two things that unfolded with scalingbusiness.ai. Number one, my marketing agency, Planify Agency, is actually a business growth agency, and we had a lot of people asking about AI and different tools.

I actually started working with AI pre-ChatGPT. I've always been somewhat of a private techie. I don't always appear to be a techie, but since I was a kid I was on bulletin boards, BBSes as they call them, back with the dial-up modem as a young teenager. I got in a little trouble as a young teenager, but I won't disclose that online even though the statutes are done. I was always curious with it, and my parents were always encouraging me to learn those things. So I've always loved technology.

Working with AI prior to ChatGPT, I understood the power and what it would be if it actually came together. Then I was at Strategic Coach, and my coach Chad Johnson told me I really needed to go all in on AI. He said, "Name it something people can understand." That's where the name scalingbusiness.ai came from: helping people scale their business leveraging AI.

It's been a great gift to work with business owners and think through all these tools that are out there. What I always tell people is if you don't have a good workflow, you're amplifying something very bad. So we want to first optimize what our workflow and sequencing looks like, find where people are getting stuck, and help them get unstuck and leverage the tools appropriately to free them up to do what they're best at doing. We've been doing that through training, through business audits, and through a free course I created on how to make SOPs leveraging AI. We're really trying to think through how do we build automations and apps that enhance the workflow and don't disrupt it along the way.

Strategic Adoption vs. Surface-Level Experimentation

Brendon Dennewill: So what separates strategic adoption from surface-level experimentation?

Casey Cease: I'm an experimenter, so I love it. But adoption has a few layers to it. Number one, you have to see what's irritating. What am I doing that's causing friction, that's just repetitive over and over again?

The reality is automation is not new. I'm in Texas, so I call it Zapier. Some people call it Zapier. You have Make, you have n8n, you have all these different automation platforms. Automation's not new. What's new is the agentic decision-making process. Before, it was essentially an if-then statement: if this happens, then do this. Now with AI, it's able to make more inferences and decisions based on those tools. So automation's not new; the amplification of that ability is what makes it really compounding.

When you look at scaling a business, you have to think through where is time being eaten up, where are we losing customer satisfaction, where is delivery getting hampered. Everyone's talking about AI agents right now. The reality is an AI agent has three real components: a data source, what language model with prompting is making decisions, and what outputs we want to drive from that agent. I just want to demystify it for people.

Agents can sound like these autonomous, creepy things, and sometimes they can be if you don't have the right gating in place. But ultimately it's thinking through what decisions are not so complex that we can trust AI with them. That's why I always tell people: don't take a tool and implement it in your most critical business path first. Let's build some relationship and trust and understanding of how it works, and then as we build that out and gain some trust, we can start asking what's next.

I always joke with clients and say AI is kind of like getting a tattoo. I've never gotten one because I'm a bit fickle. But from my friends who are into tattoos, they never just get one. So let's find something, automate it, see the power of it, and then always ask: what's next for us?

The challenge is we buy a bunch of tools. I was talking to one of my financial people recently and she said, "Do you realize you have all these recurring subscriptions? Are you even using this anymore?" I had totally forgotten it was there. I think a lot of companies are like that. They have a bunch of tools they aren't really leveraging, but it was the hot new thing at a conference and they subscribed without really onboarding to it.

Where you lose synergy with the team is when you don't reverse engineer from outcomes. What are the desired outcomes, and what are the best tools to get there? The way I've been able to help teams come along is to get agreement over top friction points and say, "Hey, wouldn't it be great if it solved this issue?"

For instance, we have a client that has English and Polish clients in Chicago. Their receptionist would be on a call and another call would go to voicemail. We created an AI agent that speaks both English and Polish, qualifies a lead, and lead scores it. If it's an eight or higher, it immediately texts my client: "You need to call this person right now." It's not to replace the receptionist; it's to enhance the experience of the client calling in.

What Separates Companies That Scale from Those That Don't

Brendon Dennewill: You've built businesses across branding, publishing, and consulting. What patterns have you consistently seen in companies that scale successfully versus those that don't?

Casey Cease: There's a high value in people and a high value in systems. Some people are client-centric but treat their employees poorly. Others are employee-centric but treat their clients poorly. The ones that really scale say, "We take care of people and we create systems and structures that support people, and we enhance the experience of all people."

What business owners forget is you're always selling as a lead person. You're selling to your clients and you're selling to your own team. If you have really talented people, the risk is that they're mistreated or unsatisfied and they go elsewhere. I always think: if a person leaves solely because of finances, then perhaps we haven't created an environment that's somewhere they want to be. And if your employees aren't having a great time, your clients are going to feel it too.

The hardest part about managing people is that it can feel subjective and arbitrary if you don't have documented systems in place. If you have a system and you train your people on it, then the system becomes the issue to address rather than the person. We have this process, we know it works, it produces this outcome. If you're not producing this outcome, you're not following the system. Or if you follow the system to a T and it's not producing the outcome, the problem isn't the person, it's the system. And so we address the system, and it becomes far less stressful.

If you then want to bring AI in and you don't have a clear system, if it's still oral tradition or in your brain, all of a sudden you're automating ambiguity. AI is now good enough that it'll create its own reasoning, but you may not like the outcome. That's why the businesses that scale are really mindful of people and mindful of their systems and structures. And of course their product or service fulfillment needs to be excellent, because that's what's going to generate the buzz and bring more people in.

Franchise Growth, Systems, and the Rule of Threes and Tens

Brendon Dennewill: One of the things that happens as a franchise brand grows from 30 units to 100 units to 300 units, we refer to it as the rule of threes and tens: things break. I love the way you reminded us of the combination of people and systems. If something isn't working, you want to start with: where is the system broken? Is it a process issue? Is it a tool issue? Because as you're growing, your systems and processes obviously need to evolve. The system you built for a 30-unit franchise is very different from a 100-unit or a 300-unit or a 1,000-unit franchise. It's always a leading indicator when things start breaking.

Casey Cease: With franchising especially, you start a new franchise, roll it out, you're regional, then you go national, then international. What you have to understand is the way things operate contextually changes. A system that works in Texas may not work in Oregon, and those are just the basic considerations. It's usually ready, fire, aim with all the franchisors I've worked with that are growing. Unless they're long established and have been doing it many years, they're being confronted reactively with the breakdown of systems when they rely on a certain way of doing things at small scale.

A business's first reaction when something breaks historically was to throw more people at it. The problem is you amplify more people into a process that isn't appropriate for the size you are now. You're just having an amplified problem and more overhead. You're just getting louder. I'm finding the same thing is true with AI.

So what you really have to do is audit: what are the steps? I try to simplify it for people. What are the three primary steps? Where are we getting stuck? Maybe people are trying to sell the franchise as fast as we can bring in new franchisees, and we're struggling to support that. That's a problem. Or maybe franchisees are coming in, killing it in the first six to eighteen months, and then it starts declining. What's broken?

I have the luxury of being an outsider coming in. I'm not feeling the day-to-day stress of it, so I can ask the harder questions. But really, your company gets to a point where it's like that old movie Speed, where the bus has a bomb on it and can't go below 60 miles an hour. You feel that compounding effect especially with franchisees and franchisors as they grow to multi-hundred units.

Brendon Dennewill: It's interesting because we're often brought in when a franchise network is close to or has just passed a hundred units and they've hit that next ceiling. They think implementing a new CRM might be part of the solution, but that's not where the solution starts. To your point, they often haven't put the right people in place so they can elevate the existing team and support bringing in new people to run the new system. Putting in a system without the people to run it isn't going to work.

Casey Cease: That's precisely the point I try to convey: most people are looking for a tactic to solve their problem, but the problem is actually at the strategy level. What are we doing? How are we doing it? Who are we doing it for? What are the expected results and how will they be measured?

Without a strategy, you can throw a CRM in, but what's our strategy with the CRM? What's our rollout strategy? I remember working with one company that shut off one system everybody knew and turned on a new one over the weekend. Everyone came back and was told they could no longer use the old system, but there was no onboarding. It was a free-for-all.

I always go back to strategy first. Who are we going after? What are we doing with them? How are we measuring it? How do we know when it's broken? You can tell strategy is broken when everyone wants tactics. Someone calls me and says "I want more leads." What they're really asking for is: buy ads, do SEO, build a new website, do direct mail. Those tactics are great, but until we know who we're going after and what journey we're going to take them on, and how we're going to measure it, we're always going to be at odds with each other.

I can come in as an expert and do what I know how to do, and you're an expert in knowing what you have to do. But if we don't have an aligned strategy, even if I bring in a ton of leads, if the leads we've been going after stop coming in, we're going to argue tactics. We have to align on strategy first.

Meta ads work great, then they don't. Google search used to be amazing; now it's hit or miss depending on your sphere. If you don't have a strategy, you can't ever properly test new tactics. I can't tell you, Brendon, how many companies doing multiple millions of dollars have a CRM that at best is a spreadsheet, or are using a tool never created to be a CRM, just forced into that role because they don't want to pay a couple thousand dollars for a proper one, yet they're making $200,000 a month. They're missing the opportunity to 3x, 5x, or 10x their business in the next few years with the right tools in place. The absence of strategy often leads to the misuse of tactics.

AI Is a Strategic Leadership Problem, Not a Technology Problem

Brendon Dennewill: I had Geoff Woods on the show last year. He wrote The AI-Driven Leader. His whole point, because he was seeing the same things you and I are seeing, is that AI is not a technology problem, it's a strategic leadership problem. It's about strategy and decision making, and that can only be made by a leadership team.

Casey Cease: Well, I think we want to go back even further and give a nod to Michael Gerber, the E-Myth Revisited author. Most technicians become entrepreneurs, but they're not really entrepreneurs; they're technicians who own a job. They're not thinking through how to actually turn it into a business. It goes from owning a job to owning an asset that produces revenue and is scalable.

You look at Verne Harnish's work with the Rockefeller Habits and Scaling Up. We've been attacking this problem for a long time. I've known some businesses that have grown like rockets with not much structure, and it always ends up in a crash of some sort.

People don't like to slow down and invest in strategy. They want to crush it, and that's what people on social media are saying. The problem is that anybody who's crushing it at scale has also had the wisdom to say: how do we build a structure that's sustainable? Whether it's AI or marketing or sales or franchising, we have to ensure our systems are there.

And then everyone pigeonholes me as a systems guy. I can do it, but it's not my favorite. It's like accounting. I understand way more now than I did 10 years ago, but I really appreciate the work that tax planners and CPAs do, and business attorneys and estate planners, because you have experts coming together and aligning themselves. That's why people like yourself are so important to bring into a business: you have expertise that helps them find the leverage they need much faster. It may not be as cheap, but it's a lot faster.

Why Leaders Resist Change and the Role of Significance

Brendon Dennewill: I think everybody listening intellectually gets the saying "what got us here isn't going to get us there." But somehow it's really hard when we have to decide what needs to change. Going through that yourself versus seeing it from the outside, there's a lot of psychology and head trash that goes into why people hold on to what worked in the past instead of moving to what's next.

Casey Cease: I have a theory on why that happens. Everyone is searching for significance of some sort. I think the fear around change is pronounced, and I don't think the primary fear is "what if this doesn't work?" That's part of it, because if you have something that's at least comfortable and profitable and you make a risk to change it and it hurts, that's a valid fear. But I think for business owners, especially entrepreneurs, when we start something in our search for significance and then do a radical change that frees up a ton of time, if we don't have vision for what's next, we ask: how am I significant? If this thing can run pretty much without me, what do I do?

I've seen that play out a lot. I'm certain the solution will work, and there's still a lot of pushback. As I started digging in, I realized a lot of people are asking, "But then what am I going to do?"

Some people say they'll go play golf more. The fact is there's only so much golf you can play. A lot of people really liked the work when they first started. But as the business grows, their focus needs to shift. Without a vision of what's next, there will be more apprehension. That includes employees too. If we don't have a vision of how they can better spend their time by taking some things off their plate, they're going to hold on because they've associated their value with their current efforts.

Until we provide a vision toward that end, you're always going to hit that resistance. The people I've seen that have been able to scale have acknowledged the truth: "I'm not sure what to do." And I tell them their capacity is at 98 out of 100, so they don't have any breathing room to reimagine.

Here's what we can trust: with the appropriate structure, your imagination will come back. Fortunately, the people who have pushed through that, I've seen it come back. Either they've invested in other places or reinvested in other types of businesses. But it is very scary because even if our current situation is uncomfortable, at least it's familiar. The real challenge is how do we push through that familiarity and comfort to something new. As we age, especially, that gets hard.

Brendon Dennewill: I guess some people call it purpose. That's also why so many people struggle when they're in this rhythm of thinking they need to retire because their parents and grandparents retired. We all know that if you don't have significance or purpose to move toward...

Casey Cease: I've had very close loved ones who retired and died within 10 years because the meaning, purpose, and significance weren't there. There wasn't a vision for what was next. That's something that always stays with me. I know very few people who've retired well. The ones I know who have are the busiest retired people I know, because they're not working for money anymore, but they're still pursuing a purpose.

Brendon Dennewill: I just played golf with a friend a few days ago, and he shared that four of his five best friends died within one year of retiring. The most recent one was last week, which was obviously very sad.

Casey Cease: I have a family member who's 74 and still works full-time. She's healthier now than she was 10 years ago. She was telling me she goes to jazzercise, even with a sore knee and a knee brace. She's still getting after it. I tell her: work as long as you can, and when you can't do that job anymore, find something else, because you're healthier now than you were 10 years ago, in many ways, mentally and physically.

Is the work meaningful? That's the question. Technology rightly applied can create more opportunity for meaningful work and meaningful interactions, not less. I get the fantasy of wanting to retire; sometimes it just means you need a vacation. I'm also for sabbaticals. I had an entrepreneur I was coaching several years ago and I told him to take 30 days off. He wasn't sure he could. I said, "Look, you have enough cash in the bank that if everything falls apart, you could still rebuild it from scratch when you get back. So don't call it a cash issue. Take the next 60 days and build your most crucial SOPs and make sure your people are trained on them." Now he does a 30-day sabbatical every year and takes the month of July completely off.

Because there comes a point where you have enough money. There's always more money to be had, but really we all want to graduate to not having to work for money. When we're aligned with our purpose, money typically follows. It's an easy metric to measure, but I don't think it should be the only metric because it's not going to be the satisfying one long term. It's like counting gas cans in my garage. How many gas cans? I have six for my rider. Okay, great, but what am I doing with the fuel?

Where Leadership Teams Struggle as Operational Complexity Grows

Brendon Dennewill: Let's bring it back to the folks who still get to be in a position where they can solve problems as part of a leadership team. Where do you see leadership teams struggle when growth starts increasing operational complexity?

Casey Cease: If leaders are unwilling to grow, the business tends to outgrow them, and then you have a tough situation on your hands. The number one failure I've seen in franchising and everywhere else is a lack of leadership development and growth.

I think appropriate communication structures are critical, and what I mean by structures is not just platforms to communicate, but rhythms of communication. There's that book Death by Meetings. I was with one franchisor where they would have meetings for meetings for meetings, but never with real action steps. We'd come out of them feeling like we were playing hot potato: this is the problem, pass it off, and now it's siloed. Marketing has a problem, or ops has a problem, or this franchisee has a problem. That's their problem, rather than coming as a team and saying the purpose of a meeting really should be to defend a decision or brainstorm solutions to a problem, then come up with a decision and act on it.

Leadership teams need to continually position themselves for growth and be open to the fact that what got them here isn't going to get them there. Les McKeown wrote Predictable Success, and he talks about the life stages of a business. You're in the Fun stage where you're growing, everything's going well, and then when your systems start collapsing, you get into Whitewater. At that point, people have a decision to make: fight through Whitewater and put new system structures, strategies, and tactics in place, or damage themselves enough to fall back into Fun, which means you backtrack.

When Whitewater comes, you're either going to paddle into it or get overtaken by it. A lot of people really like the Fun part. Things are working, it's growing, it's messy, but you have a ping-pong table and some snacks, and it's cool. Then things get crazy. You're either going to double down on developing structure and invite leaders to either rise up and grow or find another place to get started. Those are tough decisions.

I've been with certain organizations that fired people way too quickly. They would miss the forest for the trees. "You're not performing well these last two weeks, you're gone." And I think they lost some really great people by not having a proper approach of coming alongside people, amplifying what they're doing, and solving problems together. I get it: in a fast-paced environment where there are fires burning in different departments, it's hard to do. But the more we're able to come back to valuing people and the systems that support people, the more we're able to recalibrate.

Brendon Dennewill: And that example of firing someone too fast is often a sign that you didn't set them up for success in the first place. Patrick Lencioni talks about the pyramid and what makes for a successful, healthy leadership team. Without a solid leadership team, everything downstream is going to be really hard.

Casey Cease: The bottom of that pyramid is trust. If you've lost trust and it's not rebuilt, conflict is never going to go well. Commitment will never happen, accountability will feel like retribution, and you'll never get the results you're looking for. Until you realign on trust and work backwards from results, you're always going to lose it. I love that framework, the Five Dysfunctions of a Team.

Usually trust is diminished not just by poor performance but by poor communication. That's why I think some people take AI too far, not really paying attention to what's actually being said and just dumping everything into the machine. My assistant Mary manages most of my email and brings me the top stuff. I free up that time so I can be more fully present in conversations like this.

Communication is important, and you have to have rhythm with your team. I always tell people: have a basic agenda for what the meeting is going to be, put some time on it, and leverage it. All my teams are remote for all my businesses. I use AI to capture the transcript and process it, and then it pulls out next steps. The team reviews and confirms them, and it connects with ClickUp or TeamGantt depending on the company. Then a human approves and ensures it's moving. I'm able to be in any meeting without taking notes because I'll have the entire transcript. I can fully focus on what's going on and then get a summary and the action steps required and who's doing what. It makes things much more streamlined.

I can actually be more fully present rather than taking notes the entire time and then wondering where my notes are. It frees me up to be fully present and then leverage that tool to continue the process. That's how we've been able to scale: people have clarity and visibility of what's next.

What Ties People and Systems Together

Brendon Dennewill: As you were saying that, I think about this a lot because I also view everything as people and systems. But what ties people and systems together is clarity and communication. Because ultimately, what makes for a good meeting: what is the problem, challenge, or opportunity we have to discuss? What are the potential solutions? But if you're not starting that meeting based on trust and being comfortable with conflict in order to improve the system or support the people, it all takes clarity and it all takes communication. Which makes it seem so simple.

Casey Cease: When you're not on a bus going sixty miles an hour with a bomb strapped to it, it's easy to talk about. There's a lot of sympathy for people in the chaos of growth or the chaos of decline. You're often operating out of your amygdala, out of adrenaline and cortisol. And let's just be honest: there was an adrenaline rush and some dopamine hits when you remembered to follow up with someone just in your brain. I think we kind of get addicted to that, especially early on as an entrepreneur. Then when things start getting repetitive and predictable, for a lot of entrepreneurs that's a tough thing because we start asking, "What's next?" If it's predictable, we get antsy.

If we don't have a system and structure to continue to innovate and grow, well, I have several companies, but they're all serving people and helping people communicate their value, whether through publishing, marketing, or sales training, just to connect with people. I always tell people I'm just a creative connector. That's where I work and how it all expresses. Even with AI, I want to free people up to have more time for real human-to-human connection.

Balancing Speed and Clarity in AI-Accelerated Decision Making

Brendon Dennewill: As we start to wrap up here, as AI accelerates decision making, and a lot of what we're talking about comes down to making decisions. One of my early coaches said to me, "Ninety percent of leadership is decision making." Once you hear that, you can't unhear it, and I realize he was probably correct. How should leaders balance speed with clarity and long-term strategic thinking as AI is accelerating our decision making?

Casey Cease: I think first with some humility that AI is a great exposer of things that maybe we got away with before. It's harder to hide when you're able to measure and track everything.

With decision making, we have to clarify what decisions need to be made. Which decisions are most important, who needs to make them, what are the implications, and how do we measure the rate of decision? With AI, it should be reviewed by a human. It's there to serve us, not the other way around. When I get the notes of a meeting or a decision tree, it's helping me process things and identify things I didn't necessarily see right away. But I'm also able to identify what's actually good or not, because I pay attention. I did marketing before AI. I know what good copywriting is and what isn't. I know how to read the data. AI has helped me create more copy quicker and be more creative faster, and I can read data better and faster, but I also know what it means. It's not going to fully replace that experience, because if I hadn't had the experience I've had, things would not have ended well.

In the decision structure of leaders, as your business grows, you need to be responsible for fewer decisions. But you are responsible for what your decision-making process is, what your values are, what your vision is, what matters to you. Provide some gateways to decision making. If you're able to do that with your humans, you'll be better able to prepare your AI to do the same thing.

How AI Will Reshape Leadership, Operations, and Competitive Advantage

Brendon Dennewill: How do you see AI reshaping leadership, operational systems, and competitive advantage over the next few years?

Casey Cease: If leveraged correctly, I think AI will help leadership by improving communication. Not merely sending and receiving information back and forth, but also as a repository of information. I can't tell you how many times in the past I had a meeting with someone, had handwritten notes somewhere, and had completely forgotten I said I would do something or approve something.

Leveraging AI as a repository of key decisions that were made recently and helping keep those in front of everybody is going to be very important for the future of leadership. And then helping think through market dynamics: the research ability of AI now to do competitive analysis and see where we really fit. But intentionality can't go away, whether or not the tools improve beyond us. We are made to need each other, whether we like it or not. I know how awful I can be. But at the same time, I know that at my best I really bring value to other people. I want the tools to allow that to happen, not bring out my worst.

When it comes to operations, if we're people-centric, how can we improve the life of our customer? How can we improve the life of our employees? That's a framework by which AI can really thrive.

I'm not saying replace people. But if AI clearly can run laps around a task, what I've found in the last couple of years is that high performers who embrace and understand AI see their performance multiply as if you added five of them to the team. What I've found for poor performers is they're typically resistant, and they're exposed very quickly as not having a desire to become relevant. Either coach a person up or you coach them out.

You see these big tech companies cutting their staff by 40% and replacing them with AI. For me, it wasn't just an AI thing: they had a bad system for managing people, structuring people, and getting the best out of people. That was, as I said earlier, a symptom of just throwing people at a problem. And if it's a publicly traded company, we also know that cutting overhead makes shareholders very happy because profitability goes up. So there's a mixture of things we want to blame AI for, but the reality is it still reflects back on leadership.

On competitive advantage: if you're uniquely positioned with an offer or a brand, and your other pieces are in place, your people are in place, your systems are in place, AI is like adding rocket fuel. You're able to replicate and scale like no one else.

Imagine you're a franchise where you have all the SOPs, but your franchisee who's grinding and trying to make it happen has to search for guidance, look around, whatever, as opposed to having a custom bot based on your SOPs that they can immediately pull up, ask a question, put the scenario in, and get complete guidance on how to solve that problem: who to call, what to do, where to order, where to click. Think of the number of support reps you would no longer need. I remember working with one large franchisor and watching the repetitive calls they would get. They were always saying, "Go look at your SOPs." But if AI was deployed in that way, they would actually call because they'd get a better answer. Set up a voice AI that answers their questions.

Being able to deploy it strategically to serve our people and support our structures is the secret sauce that amplifies the growth opportunity. A lot of your competitors aren't doing it yet. They might have Copilot in their Microsoft suite, but they're not deploying actual tools to make powerful exchanges happen.

AI Is Here to Enhance People, Not Replace Them

Brendon Dennewill: One of the biggest breakthroughs I've seen in the last month or so is that mindset shift away from AI being there to replace people. The way you and I are thinking about it is that it's there to enhance our people.

Casey Cease: That's 100% it. Say I have a great carpenter, but he has a little toolbox from Dollar General with a small amateur hammer. You take a great player and give them the right tools, and all of a sudden their production goes up. Why would you want to replace that person? Because you're going to need people to manage the AI anyway. And even if AI could manage itself, is that the society we really want to live in?

There's something endearing about human frailty. That's why my family and I are investing in original art: I think people are going to long for the thing that took months to create out of someone's imagination. AI can probably make more beautiful art in a minute. But if you get something that took people months to create, I think the longing for beauty is going to still need to be there. There's nothing more beautiful than the human being, in the mystery and the clarity around our design.

The more we're able to enhance great players and let them leverage tools in the best way, I think we're going to see a new wave of opportunity and prosperity. I hope it turns toward charity and human enhancement.

One Last Word of Advice

Brendon Dennewill: Casey, as we now wrap up, what is one last word of advice you'd like to share with our audience?

Casey Cease: You can hide from AI and be afraid of it. But it's here, and it's the worst it'll ever be today. So get on, understand it, grow with it. But more importantly, the challenge remains the same. How do we take care of people? How do we create structures that enhance experience for people and really allow AI to be used for good? That good is best defined by the outcomes you desire for your clients and for your staff. Be courageous. Go learn it. Get after it.

Brendon Dennewill: Casey, thanks so much for joining me today. I had a lot of fun and I learned a lot. Thanks for being here.

Casey Cease: Brendon, thank you so much. I love what you're doing. I know you take great care of your clients, and I know the franchisors and franchisees working with you and your team are really fortunate and blessed to have that support. Keep up the great work.

Brendon Dennewill: Thanks, Casey.

 

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