What happens when a seasoned technology veteran — someone who spent decades bridging the gap between hard-core developers and everyday business people — decides to go all-in on artificial intelligence? You get Upon AI, a voice agent platform built not by engineers chasing the latest trend, but by entrepreneurs who understand that technology only matters when it solves real human problems.
In a recent episode of the podcast, host Don Finley sat down with Bill McClain, co-founder of Upon AI and a 30-year technology industry veteran, for a wide-ranging conversation about the intersection of humanity and technology. From his early days trying to translate “developer-speak” into plain English, to building a global team on the principle that personality trumps technical skill, Bill’s perspective is as refreshing as it is practical.
The Origin Story: Being the “Go-Between Guy”
Bill’s journey into technology wasn’t driven by a love of code — it was driven by a love of people. Early in his career, he found himself fascinated by the developers in the back room, chain-smoking and building systems no one else understood. Rather than retreat from them, Bill tried to build bridges.
“I always thought that if I ever got the opportunity to be that go-between guy between your everyday person and your super nerd… the humanity piece of it, being empathetic — when someone comes to us with a problem, something catastrophic — don’t be that typical IT guy that’s like, ‘Did you try to reboot?’ Be empathetic of their situation.”
This philosophy was reinforced by his wife, a CPA at a Fortune 50 company, who would come home with IT horror stories that would make Bill shake his head in disbelief. It planted a seed that would define his entire career — and eventually, his company.
Keep It Simple: The Art of Speaking to Mixed Audiences
One of Bill’s most compelling professional skills is his ability to translate complex technology into accessible language — without being condescending.
“What does this AI voice agent do? It answers your phone. That simple. You don’t have to talk about the LLMs and the layers and all of that.”
But he’s quick to acknowledge the nuance: oversimplifying to an expert is just as problematic as overcomplicating things for a novice. In a boardroom with a mixed audience, threading that needle is a genuine art form — one that Bill has spent decades mastering.
Upon AI: From Scratching Their Own Itch to a Global Platform
About four years ago, when the ChatGPT explosion kicked off, Bill recognized something he hadn’t felt in decades: genuine excitement about a technology product. Having lived through the dot-com boom, cloud computing, and the rise of Voice over IP, he knew this was different.
He called his now-partner Jodi — a technically gifted entrepreneur he’d known through the telecom world — and he couldn’t contain his enthusiasm.
“I’m like, ‘I want in.’ And she’s like, ‘Well, I don’t know…’ I’m like, ‘No, I want in.’ And then I called her later that night and said, ‘Sorry, was I too aggressive?’ She goes, ‘No — the fact that you were that excited made me excited.'”
Both had come from difficult prior business partnerships. Both were cautious. But the synergy was undeniable. They began building Upon AI initially as an internal tool — a voice agent platform to solve their own telecommunications problems. When they couldn’t find anything in the marketplace they were happy with, they built it themselves. And when they realized their peers in the telecom reseller space had the same problems, they pivoted to make it a platform.
Upon AI now allows telecom resellers to instantly provide AI voice agents to their clients — without heavy technical lifting, without months of development, and without needing a PhD in machine learning.
Staying Sane in an Exponential World
The AI landscape changes so fast that keeping up can feel like drinking from a fire hose. Don and Bill bonded over this shared challenge — and Bill’s answer is both surprising and wise.
“I don’t need to keep up. I’m a business leader. I know how to put teams together, I know how to work with customers, I know how to handle operations, billing, licensing. That’s what I bring to the table.”
It’s a perspective that relieves a lot of anxiety for business leaders who feel left behind by every new model release or chipset announcement. As Don summarized: “The technology can go as fast as it can go, but the adoption in business is that limiting factor.” You don’t need to be on the exponential curve — you need to solve the customer’s problem. And that problem exists today, tomorrow, and next year, regardless of which LLM is currently trending.
Bill’s advice for keeping up without burning out: build a village. Surround yourself with colleagues and friends who can filter relevant developments for you, so you can make smart decisions about where to invest your attention.
Hiring for Heart: Personality Over Technical Skill
As Upon AI has scaled globally — with team members now in Colombia, Belize, South Africa, and Nepal — Bill has doubled down on his counterintuitive hiring philosophy.
“My number one at the top of my list is personality. Always. Team player, gets along, can interface with customers — because you can’t teach those skills. I can teach them the other stuff.”
In an era where AI is making technical skills increasingly commoditized, this approach may be more prescient than it first appears. Vibe coding, automated scripting, AI-assisted development — these capabilities are now accessible to nearly anyone. But the ability to be genuinely empathetic with a client whose voice agent is down at 2 a.m.? That still requires a human being who cares.
“I’d rather have somebody that’s not quite ready but has a great personality, and we teach them the tech. Maybe it takes a little longer, but then they’re homegrown.”
AI Is Democratizing the Developer Room
One of Bill’s most vivid observations was about how AI has transformed access to technical capability. Remember that back room of developers? The foreign land of cigarettes and code?
“Everybody’s in that room now. Everybody can vibe code, everybody can create applications. But taking it from there to a business product — that’s the skill.”
His partner Jodi exemplifies this new reality. In a single weekend, she fell down a coding rabbit hole and emerged with a fully functional new tool — not through years of programming experience alone, but through AI-augmented development. Bill’s response? “I can sell that.”
This is the new competitive advantage: combining the accessibility of AI with the judgment of experienced business people who know what problems are worth solving, and how to bring those solutions to market sustainably.
The Tortoise Wins Again: Sustainable Business in an Age of Hype
In a landscape full of venture-backed AI startups burning through investor capital, Upon AI stands apart: 100% self-funded, growing deliberately, and focused on recurring revenue over hockey-stick growth.
“Slow and steady wins the race. Can you sleep at night? Can you provide for your family? Can your employees earn? You don’t need to be on the Forbes cover.”
Bill describes this as “the cream rising to the top” — because just because you can do the tech doesn’t mean you can run the business. The graveyard of failed AI startups is full of brilliant engineers who never figured out the other side of the equation.
The lesson: AI is the product of today. But a business is still a business. And the fundamentals — product-market fit, customer relationships, sustainable unit economics, strong team culture — haven’t changed.
Work, Life, and the 85% Rule
The conversation took a meaningful turn when Bill shared a statistic that stopped Don in his tracks.
“By the age of 16, you will have spent 85% of the time you will ever spend with your child.”
At 16, kids get their driver’s license and their independence. Then high school. Then college. Then life. The window is shorter than we think.
Bill has built his company culture around this reality. His employees are explicitly encouraged — expected, even — to go to the soccer games, the dance recitals, the school plays. Nobody should feel guilty for being present in their own life.
“Go. Don’t even hesitate. And I will never fault anybody. The company needs to be able to cover your back — because you’ll do the same for them.”
He frames entrepreneurship not as a burden of pressure on his shoulders, but as leading a larger family — one where everyone chips in, covers for each other, and operates with genuine care.
Doing Work You Love
The episode closed with a piece of wisdom Bill inherited from his own father: “If you’re not doing a job that you love, do something else.”
Bill looks forward to Monday mornings — not despite the challenges his work brings, but because of them. Problem-solving, client relationships, building a team, navigating an industry in flux — these are things he genuinely enjoys. And he wants the same for everyone around him.
“I hope that everyone can, you know, love what they do. Not everybody does.”
Don echoed this with an Alan Watts paraphrase that captures the spirit perfectly: make your work look like play so nobody knows you’ve been working a day in your life.
Final Thoughts
Bill McClain’s story is a reminder that the most enduring competitive advantages in the age of AI aren’t technical — they’re human. Empathy. Experience. Judgment. The ability to simplify complexity, build teams that actually care, and grow a business with intention rather than desperation.
Upon AI is proof that you don’t need to be the loudest voice in the room, the fastest mover in the market, or the most funded startup in the space to build something meaningful. You just need to solve real problems for real people — and treat everyone along the way, including your team and your clients, like family.
