Gaining the Technology Leadership Edge

Whitney Hahn joins GTLE to dismantle one of the most accepted myths in leadership: that being busy means you’re doing something right.

As CEO of Provoke Better, Whitney helps business owners outgrow busyness while still growing healthy, profitable companies. She explains how years of networking events revealed a common pattern—when asked how they’re doing, leaders almost always answer, “I’m busy.” Whitney challenges what that response really signals and why it often masks burnout rather than value.

In this conversation, she introduces the idea of “meconomic drivers,” the personal priorities that shape how leaders want to spend their lives. While economic drivers like revenue and margins keep a business alive, meconomic drivers—relationships, freedom, energy—are what make it worth running. Whitney shares her own drivers, including building a business that can operate without her, so she can step away when she chooses.

The episode also dives into practical execution. Whitney explains how process debt forms, why teams resist reevaluating task stacks, and how mapping workflows can dramatically improve momentum without adding headcount. A real client example shows how process clarity reduced burnout, improved delivery speed, and increased capacity.

This episode is for leaders who want to build companies that scale responsibly—without sacrificing health, relationships, or clarity along the way.

Mike from Focus-Biz joins GTLE to break down what AI actually looks like when it’s used responsibly inside a real business.

Starting from his background running an award-winning wedding DJ company, Mike shares how automation, marketing systems, and AI tools allowed him to work fewer hours while improving output. Today, those same principles guide his work helping small businesses improve lead generation, sales conversion, and customer experience.

Rather than positioning AI as a replacement for people, Mike frames it as a force multiplier. He explains why businesses should automate before hiring, how conversational AI chatbots dramatically increase speed-to-lead, and why every AI-generated asset still needs human review. Practical examples include cutting podcast editing time in half and using AI to assist with marketing strategy, content creation, and customer qualification.

The conversation also addresses misconceptions about AI, ethical concerns around data privacy, and fears about job loss. Mike argues that AI should free employees to focus on higher-value work—not eliminate roles altogether. He draws parallels to past technology shifts and stresses that businesses that ignore AI risk falling behind quickly.

This episode is a grounded look at AI for business owners who want efficiency, better systems, and stronger customer relationships—without sacrificing trust or values.

Peter Voss, founder of IGO.AI and co-originator of the term Artificial General Intelligence, joins the show to explain why today’s AI breakthroughs still fall short of real intelligence—and what technical leaders should understand before betting their organizations on them.

Peter shares his unconventional path from leaving high school at 16 to building and exiting a 400-person software company, then spending five years studying philosophy, cognitive psychology, and intelligence itself. That work led him to a clear conclusion: most AI systems today are powerful but fundamentally limited. They don’t reason, they don’t understand context, and they can’t adapt in real time.

In this conversation, Peter breaks down:

Why Deep Blue and AlphaZero represent different waves of AI—but still aren’t “thinking machines”

How large language models are pre-trained, read-only systems that can’t truly learn during use

Why hallucinations and 95% accuracy fail in multi-step, real-world environments

What went wrong with McDonald’s drive-thru AI (including bacon on ice cream)

How IGO.AI replaced 3,000 seasonal call-center agents at 1-800-Flowers using cognitive AI

This episode challenges common assumptions about AI progress and reframes the conversation around architecture, reasoning, and leadership responsibility—not hype.

Richard Clark, co-founder of SecretSource, joins the show to break down what actually drives employee retention in tech—and why perks, culture slogans, and “being nice” aren’t enough.

After running IT teams in India for five years, Richard believed there had to be a better way to build software. He founded SecretSource on a simple idea: happier teams build better software. But a few years in, an internal survey revealed a hard truth—despite great perks and a positive environment, 50% of the team didn’t see a future at the company just one year out.

In this episode, Richard explains what changed.

You’ll hear how SecretSource moved beyond surface-level happiness and built a real system around:

Psychological safety, including the ability for junior developers to challenge clients

Career progression through a clearly defined skills matrix and six-month development plans

Recognizing that different people want different things—growth, stability, or flexibility

Why prioritizing client happiness at the expense of team wellbeing backfires

Simple but effective practices, like interest-based Slack channels, that rebuilt connections during lockdown

This conversation is a grounded look at leadership, retention, and trust—without platitudes. It’s about building teams that stay, speak up, and deliver better outcomes as a result.

Robert Karloff, founder of Cyber News Live and a cybersecurity leader with experience across Fortune 500 companies and government organizations, joins the show to unpack what’s actually driving today’s cyber risk—and why many organizations are still reacting too late.

Robert shares how he entered IT during the Y2K era, worked his way through help desk and infrastructure roles, and eventually specialized in cyber threat intelligence. Along the way, he helped organizations prepare for major global incidents, including identifying WannaCry hours before it hit mainstream media—enough time to activate war rooms and reduce impact.

In this conversation, Robert explains:

Why phishing remains the number one cyber threat for individuals and businesses

How AI is accelerating attacks and acting as a force multiplier

What the MGM and Caesars ransomware incidents reveal about paying vs. not paying

Why cloud environments introduce massive hidden risk through misconfiguration

The importance of soft skills, especially active listening, in cybersecurity leadership

He also makes the case for greater transparency around breaches, safe-harbor reporting, and clearer communication with non-technical leaders. This episode is a grounded look at cyber risk from someone who’s seen the failures up close—and understands that tools alone won’t save you.

Andrey Kudievsky, founder and CEO of Distillery, joins the show to share hard-earned lessons on scaling a global software services company, developing leaders, and adopting AI without losing focus.

Born and educated in the former Soviet Union, Andrey discovered entrepreneurship early through his father’s small business and technology through his first computer at age eight. After graduating with top honors from a leading technical university, he moved to the United States and built Distillery by connecting underutilized global engineering talent with U.S. companies facing chronic shortages—nearly a million engineers short by his estimate.

In this conversation, Andrey discusses:

Why did Distillery abandon building its own products to focus entirely on client services

The leadership mistake of trying to scale without clarity and focus

How to evaluate whether a team can grow from $5M to $50M

Why continuous education—including his Executive MBA at UCLA—eliminated imposter syndrome

How AI tools are increasing developer productivity by 20–40% when adopted correctly

Why developers won’t lose jobs to AI—but will lose them to developers who use AI better

This episode offers a grounded, operator-level perspective on leadership, talent, and AI adoption—without hype, and with clear tradeoffs explained.

Steven Pope, founder of My Amazon Guy, joins the show to break down what it actually takes to build a profitable Amazon business—and why most sellers fail by chasing shortcuts.

Steven’s path wasn’t linear. After being repeatedly laid off despite driving growth at multiple startups, he hit a breaking point at age 30. Within 48 hours, he built a business plan, signed his first client via LinkedIn, and named the company based on how people already referred to him: “my Amazon guy.” Six years later, the company has grown to $20M in annual revenue and employs more than 500 people globally.

In this conversation, Steven shares:

Why Amazon is not passive income—and never was

How a single logistics mistake cost him $12,000 on a product launch

Why does he give away his best tactics publicly through content

How SOPs enable him to step away from client delivery for years

What it took to hire 100 interns in 21 days to unblock growth

Why Amazon's margins cap around 15% at scale

How to pick the right product by sticking to what you actually know

This episode is a candid look at scaling through systems, content, and disciplined execution—without gurus, gimmicks, or false promises.

Cybersecurity breaks down when it’s imposed instead of coached.

In this episode, Chris Foulon—founder of CPF Coaching LLC and an experienced vCISO—explains why most security programs fail and what leaders can do differently. With a background spanning healthcare, education, and nonprofit work, Chris brings a human-centered approach to security that prioritizes resilience over rigid control.

Chris shares how his early exposure to computers in the Caribbean and later experiences during the Napster era shaped his belief that behavior—not technology—is the root cause of most breaches. From ransomware preparedness to supply-chain risk, he emphasizes that organizations don’t fail because they lack tools, but because they try to change everything at once.

You’ll hear why annual one-hour security trainings don’t work, how incremental process improvement enables faster response to vulnerabilities, and why testing backups matters more than simply having them. Chris also explains the importance of data classification as a foundational policy and breaks down common misconceptions around passwords, MFA, and convenience versus security.

The conversation covers real-world scenarios—from SolarWinds-style vendor risk to disaster recovery planning in hurricane zones—showing how small oversights can escalate into major incidents.

If you’re a technology leader trying to balance speed, safety, and business outcomes, this episode offers a practical, grounded perspective on building security that actually holds up under pressure

AI isn’t replacing SAP professionals—it’s making them better.

In this episode, Chris Carter, CEO of App Royal and a pioneer behind the first SAP cloud and SAP HANA production cloud, shares how AI is transforming SAP environments through practical, incremental adoption rather than sweeping overhauls.

Chris walks through his unconventional journey—from early experiments with Commodore computers to a Georgia Tech internship at Coca-Cola, and eventually to a defining moment where he demonstrated SAP cloud workloads before licensing models even existed. That early innovation helped shape SAP’s long-term cloud strategy and positioned App Royal as a trusted partner.

The conversation explores how App Royal leverages AI through its Overwatch platform, providing predictive analytics across on-prem and cloud SAP landscapes. Chris explains how AI supports upgrades, migrations, and operational stability while keeping enterprise data isolated and secure.

You’ll hear why starting with one AI use case matters, how small wins drive organizational buy-in, and why AI improves—not replaces—developers, analysts, and leaders. Chris also discusses customer-centric leadership, building trust, and creating environments where teams can “sleep well at night” knowing their systems are stable.

This episode offers grounded insight for technology leaders navigating AI and SAP integration without boiling the ocean.

Data silos, manual workflows, and unclear ROI are holding many organizations back from real AI adoption.

In this episode, Ronak Patel of Sunflower Lab explains how companies can use AI, RPA, and business intelligence to drive measurable outcomes—without overcomplicating the journey. Drawing from hands-on experience across industries, Ronak shares how his team helps organizations consolidate scattered data, automate repetitive processes, and unlock insights through practical AI applications.

Ronak walks through real-world examples, including automating purchase order creation from emails and faxes, and healthcare workflows where patient case creation, scheduling, and notifications are handled automatically while reducing manual effort. He explains why ROI analysis comes first, how Sunflower Lab identifies the right processes to automate, and why some automation ideas fail to deliver value.

The conversation also dives into generative AI, large language models, and “hyperautomation,” where AI and RPA work together to optimize both decision-making and execution. Ronak breaks down common misconceptions—such as the belief that AI understands everything by default—and explains why data quality, volume, and training matter.

For leaders just starting with AI, Ronak offers a clear framework: begin with everyday use cases, build organizational maturity, and only then pursue game-changing AI initiatives. This episode offers a grounded roadmap for turning AI from buzzword into business value.