My “aha” moment with AI didn’t start in the boardroom. It started in my music room.
While I’ve been experimenting with generative AI tools for a few years, when I started exploring how they could help my musical progress, it all clicked for me. Project one was creating visuals to go with music for my brother. I don’t have a coding background, but with AI and a friend’s help, we created a program that could visualize sound for his performance. Next, I created a virtual tutor that helped me accelerate my music production and mastering skills, which I had only recently started exploring.
These personal experiments really changed how I thought about creativity. AI didn’t make me less creative; if anything, it made me a better creator. It didn’t replace my ideas; it amplified them. The speed of learning had me wanting more, rather than getting stuck in place. And that realization sparked something bigger: If AI could unlock that kind of curiosity in me personally, what could it do for my team professionally?
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Curiosity starts at home
When I got back to work, I began encouraging everyone at Agiloft to explore AI in their own lives. Not as a corporate initiative, but as an invitation: Try it out, play with it, see what it can do for you.
I am a firm believer that transformation doesn’t start with technology. It starts with curiosity. You can’t force people to innovate, and you certainly can’t easily train away their fear of new tools. But if they see firsthand how technology can make them more creative—whether that’s in music, writing, or problem solving—they start to approach it with excitement instead of anxiety.
That shift, from fear to curiosity, is what drives real change. AI is ultimately a human story. It doesn’t replace people; it expands what people are capable of. But in order to get there, leaders have to create a culture where experimentation feels safe and curiosity is rewarded.
Building a culture of experimentation
When we started operationalizing AI at Agiloft, we didn’t launch a massive top-down program. We began with what we called an AI Council—a handful of naturally curious employees from across the company who were already tinkering with AI tools. Their goal wasn’t to set policy; it was to learn, share, and inspire.
As interest grew, that council evolved into an AI Opsteam—a dedicated group that helps scale the best ideas across departments. But even as the structure matured, the spirit always stayed the same: Start small, learn fast, and keep the human at the center.
That’s something every leader can take to heart. People don’t usually fear technology itself; they fear being left behind by it. Our job as leaders isn’t just to provide new tools, it’s to help our teams reimagine their work and their potential in an AI-powered world.
Break down the boundaries
AI also forces us to rethink how work happens across an organization. Most companies still operate in silos (marketing, finance, security, legal), and that’s often where friction lives. AI, on the other hand, doesn’t care about these boundary types. It can see across functions, analyze entire workflows, and identify what can be automated or improved upon.
To take advantage of that, employees have to start thinking less about their title and more about their rolein the workflow.
Here’s an example straight from a customer. In their contracting process, multiple teams review every contract, including security. Traditionally, that security step slowed things down by a week (at least) or the contract requestor avoided it. So, they used Agiloft’s prompt lab to build an AI agent that reviews contracts to determine if they even need full security review. And if they do, it pre-redlines them automatically.
The result? Faster turnaround, 100 percent compliance, and happier humans on both sides of the process. When we focus on goals and outcomes versus rigid ownership, AI becomes an ally that helps everyone do their best work.
The human transformation behind the tech
Every CEO today is under pressure to “become AI native.” But the real and persistent challenge isn’t technological—it’s human.
We’re asking people to reimagine how they work, learn new skills, and see their roles differently. That’s much more than a software rollout; it’s a mindset shift. Leaders have to make space for learning, mistakes, and discovery. Because the companies that thrive won’t just be AI-powered—they’ll be human-powered, first and foremost.
In my experience as a leader, I’ve learned that curiosity scales best when it’s supported. Phase one is experimentation; phase two is building systems to make those experiments repeatable. Along the way, we invest in necessary upskilling so that no one feels like AI is happening to them—it’s happening with them.
That’s the balance every leader needs to strike. You can’t lose your humans. The best agents, the smartest models, the fastest tools—they all rely on people who are curious enough to ask the right questions and bold enough to explore the answers.
The same curiosity that helped me become a better musician has made me a better leader. When people are free to explore—whether that’s through sound, code, or business strategy—they uncover possibilities they never knew existed.
That’s how fear turns into curiosity. And that’s how curiosity becomes innovation.
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