A I. Guys with hosts Lee Dickson and Rich Swier

In this episode of The AI Guys Podcast, Lee and Rich break down the growing AI agent war and why every software company suddenly wants to own your intelligence layer. They unpack what this shift means for businesses, why the market is getting louder and more confusing, and how leaders should think about control, customization, and long term AI strategy. If you are trying to make sense of where AI fits into your business, this conversation cuts through the hype.

Lee and Rich explore the difference between helpful AI tools and overreaching SaaS platforms, why not every vendor should be trusted with your agentic workforce, and how horizontal software companies may be pushing too far beyond their core value. They also dig into SaaS sprawl, platform lock-in, the importance of systems of record, and why vertically integrated software may be better positioned to support meaningful AI adoption. Along the way, they compare today’s AI boom to the dot com era and explain why the next wave will reward companies that stay focused on fundamentals instead of buzzwords.

If you enjoyed this episode, make sure to subscribe and follow The AI Guys for more practical conversations on AI, business, and emerging tech. Drop your thoughts in the comments and let us know how your company is thinking about AI agents, vendor strategy, and control.

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What does it actually take for a business to be ready for AI agents? In this episode of The AI Guys, Lee and Rich break down why so many companies are excited about AI, yet still struggle to turn that excitement into real business value. They explain why deploying agents is not just about buying tools, but about preparing the business itself to support them.

The conversation covers the five biggest barriers companies face when trying to launch agentic workflows, including messy data, weak knowledge bases, undocumented processes, outdated human-first outputs, poor team alignment, and security concerns. Lee and Rich dig into why AI fails when businesses try to automate chaos, why workflows need to be rebuilt for machine execution, and why leaders need to rethink how teams produce work in an AI-first world. They also explore the mindset shift required to move humans from being the primary doers to becoming reviewers, operators, and decision-makers in the loop.

If your company is serious about becoming AI-native, this episode gives you a practical framework for where to start and what to fix first. Subscribe for more conversations that make artificial intelligence easier to understand and easier to apply in the real world. Subscribe for more practical AI conversations, and check out the links below for more from The AI Guys.

https://substack.aiguyspod.com/

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https://www.raiaai.com/

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All links: https://lnkd.in/eXDpww6V

Spotify: https://lnkd.in/ee9h9GYB

Youtube: https://lnkd.in/etDvqQ7d

Apple: https://lnkd.in/epYT2GSi

What happens when an AI workflow that works perfectly for one person falls apart at the business level? In this episode of The AI Guys, Lee and Rich break down the real difference between personal AI agents and enterprise AI agents, and why that gap matters more than most companies realize.

They unpack how personal agents can boost individual productivity through tools like email access, browser control, and lightweight automations, while enterprise agents demand shared context, deeper system integrations, structured workflows, governance, and scalability. The conversation also covers why quick AI wins can create false confidence, how to spot the iceberg effect before it hits, and what teams should evaluate before choosing whether to build, buy, or expand an agentic solution.

If you are experimenting with AI inside your company, this episode will help you separate hype from real operational strategy. Subscribe for more practical AI conversations, and check out the links below for more from The AI Guys.

https://substack.aiguyspod.com/

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https://www.raiaai.com/

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All links: https://lnkd.in/eXDpww6V

Spotify: https://lnkd.in/ee9h9GYB

Youtube: https://lnkd.in/etDvqQ7d

Apple: https://lnkd.in/epYT2GSi

What happens when traditional software development meets AI-first building? In this episode of The AI Guys Podcast, Lee Dickson and Rich Swier break down the AI Development Life Cycle, or AIDLC, and explain why building with AI is changing the speed, structure, and strategy of modern software. From startups moving fast to larger teams stuck in legacy workflows, this conversation explores why the old rules no longer fit the new reality.

Lee and Rich dig into the three lanes of development, traditional coding, AI-assisted coding, and fully AI-first product creation. They talk about why startups may have the biggest advantage, how teams should think about architecture, testing, security, prompting, and validation, and why building fast does not mean skipping discipline. The episode also covers bug tolerance, self-healing systems, the role shift from developer to product architect, and why AI is compressing the entire software lifecycle.

If you’re a founder, product leader, developer, or operator trying to understand where software is headed next, this episode is for you. Subscribe for more conversations that make AI practical and easy to understand, and check out the links below for more from The AI Guys.

https://substack.aiguyspod.com/

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https://www.raiaai.com/

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All links: https://lnkd.in/eXDpww6V

Spotify: https://lnkd.in/ee9h9GYB

Youtube: https://lnkd.in/etDvqQ7d

Apple: https://lnkd.in/epYT2GSi

As AI tools get easier to use, companies are running into a new problem fast: AI sprawl. In this episode of The AI Guys, Lee and Rich break down what happens when teams start vibe coding apps, launching internal tools, and experimenting with AI without a clear plan for ownership, security, support, or long term ROI.

They dig into the hidden costs behind rapid AI adoption, from token burn and duplicate tools to support headaches, feature creep, and brand risk. The conversation also covers why prototypes can create false confidence, how internal apps quietly turn into full products, and what leaders should do to put guardrails, playbooks, and smarter approval processes in place before the chaos starts.

If your team is moving fast with AI, this is the episode you need to hear before things get messy. Subscribe for more practical AI conversations, and check out the links below for more resources and related content.

https://substack.aiguyspod.com/

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https://www.raiaai.com/

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All links: https://lnkd.in/eXDpww6V

Spotify: https://lnkd.in/ee9h9GYB

Youtube: https://lnkd.in/etDvqQ7d

Apple: https://lnkd.in/epYT2GSi

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