The AI Guys

AI adoption fails far more often because of people and process not because of the technology itself. In this episode, Lee and Rich are joined by AI leader and community builder Maria Becerra to unpack why most organizations struggle to move AI from idea to execution.
 
They explore the real blockers to AI adoption, including change resistance, poor data readiness, unclear ownership, outdated workflows, and unrealistic expectations of what AI should do. Maria shares firsthand insights from working inside large organizations, explaining why mapping processes, standardizing data, and involving the right people early are essential to building successful AI systems.
 
The conversation also dives into the rise of the agentic workforce, why every employee will soon manage AI agents, and why simply automating old workflows misses the real opportunity. If your company is talking about AI but struggling to operationalize it, this episode provides a clear framework for what needs to change—and where to start.
 
Interested in A.I.? Check out our podcast A.I. Guys. Subscribe to us on Apple, Spotify, Youtube (or others)
 
Save time and money by adopting AI agents with raia. 
https://www.raiaai.com/
 
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AI knowledge transfer is becoming one of the most critical business priorities as companies face employee turnover, retirements, and rapidly evolving technology stacks. In this episode, Lee Dixon and Rich Swier break down why institutional knowledge loss is one of the biggest hidden risks businesses will face in 2026 and beyond.
 
They explore how AI can capture tribal knowledge that's never been written down, centralize fragmented documentation, and transform scattered insights into a living, evolving intelligence layer for your organization. From onboarding and training to process optimization and employee feedback loops, this conversation highlights why companies that fail to operationalize their knowledge will fall behind.
 
If your business relies on people-driven expertise, legacy systems, or undocumented workflows, this episode will help you understand how AI-driven knowledge agents can protect, enhance, and scale what your organization knows before it walks out the door.
 
Interested in A.I.? Check out our podcast A.I. Guys. Subscribe to us on Apple, Spotify, Youtube (or others)
 
Save time and money by adopting AI agents with raia. 
https://www.raiaai.com/
 
All links: https://lnkd.in/eXDpww6V
Spotify: https://lnkd.in/ee9h9GYB
Youtube: https://lnkd.in/etDvqQ7d
Apple: https://lnkd.in/epYT2GSi
 
#AI
#Podcast
#AIGuys

In this episode of the AI Guys Podcast, Lee Dickson and Rich Swier break down what it really takes to build and deploy AI agents that deliver value. They cover the full lifecycle from development blueprints and data preparation to training, integrations, testing, and post-launch monitoring.
If you are experimenting with AI agents or planning your first deployment, this episode will help you avoid common mistakes and build systems that scale.
Subscribe to the AI Guys Podcast and follow us for practical conversations on AI, software, and the future of work.
https://substack.aiguyspod.com
All links: https://lnkd.in/eXDpww6V
Spotify: https://lnkd.in/ee9h9GYB
YouTube: https://lnkd.in/etDvqQ7d
Apple: https://lnkd.in/epYT2GSi
Save time and money by adopting AI agents with raia. https://www.raiaai.com/
Produced by Content Supply

In this episode, Lee and Rich dive into the operating model of the modern company as we approach 2026. The conversation moves beyond simple chatbots and into the realm of AI Agents—software that doesn't just answer questions but performs tasks. Rich argues that knowledge-based businesses (like consultancies) must start thinking like manufacturers, breaking down processes into "conveyor belt" workflows where AI handles the heavy lifting and humans act as supervisors. They discuss the necessity of re-underwriting org charts, the massive productivity potential of the "10x employee," and why resisting this change isn't about protecting jobs—it's about risking obsolescence.
Interested in A.I.? Check out our podcast A.I. Guys. Subscribe to us on Apple, Spotify, YouTube (or others)
https://substack.aiguyspod.com
All links: https://lnkd.in/eXDpww6V
Spotify: https://lnkd.in/ee9h9GYB
YouTube: https://lnkd.in/etDvqQ7d
Apple: https://lnkd.in/epYT2GSi
Save time and money by adopting AI agents with raia. https://www.raiaai.com/
Chapters
00:00 Intro & Banter
01:29 From Tools to Infrastructure
03:07 The Manufacturing Mindset
06:14 The AI Consultant Model
11:17 Agents vs. Chatbots
14:02 The 10x Employee
16:30 The 2026 Org Chart
21:18 Outro
Produced by @ContentSupply

In this episode, The AI Guys tackle the rapidly widening gap in the software world. On one side, you have "Vibe Coders"—entrepreneurs and new devs using AI to generate entire applications via prompts, bypassing traditional coding struggles. On the other, you have enterprise teams managing 30-year-old legacy systems. Rich Swire breaks down how to bridge this divide using AI Agents trained on your specific data, and why the future of development isn't about replacing humans, but keeping them in the loop while the AI drives.
Why should I listen? If you are a technical leader, developer, or entrepreneur, this episode explains the difference between simple AI autocomplete and full-scale AI development. You'll learn a practical framework for modernizing legacy code without rewriting it from scratch.
Interested in A.I.? Check out our podcast A.I. Guys. Subscribe to us on Apple, Spotify, YouTube (or others)
https://substack.aiguyspod.com
All links: https://lnkd.in/eXDpww6V
Spotify: https://lnkd.in/ee9h9GYB
YouTube: https://lnkd.in/etDvqQ7d
Apple: https://lnkd.in/epYT2GSi
Save time and money by adopting AI agents with raia. https://www.raiaai.com/
Chapters
00:00 - Intro & The "Cold" Open
01:25 - The Evolution: From IDE Autocomplete to Code Gen
02:44 - The Tesla Analogy: When to let AI take the wheel
04:00 - What is "Vibe Coding"?
06:49 - The Framework: Tool-Based AI vs. Agentic AI
10:24 - The Challenge of Modernizing Legacy Code
14:41 - The "Google Maps" Analogy for Senior Devs
19:35 - The "Human in the Loop" Conclusion
 
Produced by @ContentSupply