AI with Bry Podcast

Bryan Dennstedt
  • 5.0 (2)
  • Technology
  • Updated Weekly

AI with Bry – Scale Smarter with AI Tools & Strategies AI with Bry is the go-to podcast for business leaders who want to harness the power of artificial intelligence to drive real growth. Hosted by Bryan Dennstedt, a Fractional CTO at TechCXO who scaled 45+ companies and built MDLIVE into a multibillion-dollar health tech platform, this show cuts through the hype and focuses on practical, real-world AI applications. If you’re a founder, entrepreneur, or marketer (especially at a company between $1M–$50M in revenue) looking to scale smarter, this podcast is your roadmap. Bry shares his 25+ years of technology leadership and insights so you can leverage AI tools, agents, prompts, and workflows to work smarter, not harder. Each episode delivers clear, actionable ideas to integrate AI into your business. You’ll hear creative AI prompt ideas, step-by-step automation demos, and in-depth interviews with AI experts. Bry’s modern CTO perspective means every topic is rooted in real business needs – no fluff, no hype. Whether he’s exploring an agentic AI use case (like an AI agent for customer service) or showcasing the latest audio, video, and image generation tools, Bry always ties it back to startup strategy and practical outcomes. AI with Bry doesn’t just talk about shiny AI trends; it shows you how to use them to get results. What You’ll Learn Tune in to AI with Bry and discover how to unlock AI’s full potential for your business. In this podcast, you’ll learn about the latest AI tools for business, how to use ChatGPT and other generative AI models in your daily operations, and time-saving automation workflows powered by AI. We dive into advanced prompt engineering techniques that can make AI outputs dramatically more effective. You’ll also hear how to build and deploy AI agents to automate tasks autonomously, boosting efficiency across your organization. Beyond the tools and tech, we explore big-picture applications: AI in marketing to boost campaign performance and personalize customer engagement, AI in healthcare drawn from Bry’s firsthand experience in health tech, and the latest trends in AI in tech startups. Whether you’re a tech founder or an operations lead, AI with Bry is one of the top AI podcasts for entrepreneurs looking to stay ahead of the curve. Each episode feels like a masterclass in AI for founders and innovators at small to mid-sized companies (AI for SMBs). It’s packed with insights on startup growth with AI, improving AI productivity, and forward-looking AI strategies to give your business a competitive edge. Sample Topics & Episodes Generative AI Demystified: How to use ChatGPT and other generative AI tools to create content and solve business problems.Automation & AI Agents: Building autonomous AI agents and workflows to handle tasks like customer support, scheduling, or data analysis.AI in Marketing: Boosting your marketing campaigns and customer engagement with AI-driven insights and personalization.AI in Healthcare: How AI is improving patient care, streamlining operations, and what these innovations mean for businesses beyond healthcare.Productivity Tools for SMBs: The best AI tools for business productivity, tailored for startups and small to mid-sized companies.Interviews with AI Innovators: Candid conversations revealing real-world success stories and actionable strategies for applying AI in startups.Modern CTO Insights: How to build an AI-ready tech stack and cultivate a team culture that embraces data and automation. Ready to elevate your business with AI? Follow AI with Bry now so you never miss an episode. For deeper engagement, visit AIwithBry.com to access bonus content, resources, and more – all to help you scale smarter.

  1. Jul 20

    Why AI Doctors Could Solve Healthcare’s Biggest Workforce Crisis

    In this episode of AI with Bry, we explore how artificial intelligence is transforming healthcare through the lens of one of the industry's leading voices on digital health, health equity, and responsible innovation. AI is not simply making healthcare more efficient. It is reshaping how care is delivered, how clinicians make decisions, and how patients access medical services. But as AI becomes more deeply embedded across healthcare, success will depend on balancing automation with human judgment, ensuring technology expands access instead of reinforcing existing inequalities. This episode explores why the future of healthcare is not about replacing people with AI, but using intelligent systems to improve outcomes while keeping humanity at the center of care. Guest Introduction Christopher Kunney Full Name: Christopher Kunney Christopher Kunney is a brain tumor survivor, TEDx speaker, healthcare executive, podcast host, and Managing Partner at IoTech Consulting. He is also the creator of the Straight Outta Health IT podcast, which recently celebrated its 100th episode, providing a platform for innovators, clinicians, patients, and healthcare leaders shaping the future of medicine. His work focuses on healthcare technology strategy, AI adoption, blockchain infrastructure, digital transformation, and advancing health equity across global healthcare systems. Core Conversation Summary Bryan and Christopher discuss the opportunities and challenges AI presents for modern healthcare. While AI is accelerating diagnosis, research, and operational efficiency, Christopher argues that healthcare leaders must remain intentional about governance, transparency, and human oversight. The conversation explores the growing healthcare workforce shortage, the coming "Silver Tsunami," and why AI will become essential to expanding access to quality care. Christopher predicts that AI-powered digital doctors will soon provide frontline medical guidance, especially in underserved regions where physician shortages are greatest. They also examine health equity, emphasizing that AI systems must be designed with diverse communities in mind. Without representative data and inclusive development, AI risks amplifying existing disparities instead of solving them. Christopher shares how AI supports his consulting work through research, communication, strategic planning, and global healthcare initiatives spanning Africa, India, and the United States. From electronic health records to blockchain-enabled therapeutics, the discussion highlights AI's role in building more accessible and scalable healthcare systems. Throughout the episode, one message stands out: AI should never replace human compassion. It should empower healthcare professionals to deliver better care while expanding access to those who need it most. What You Will Learn in This Episode Why healthcare is cautiously embracing AI How AI can improve patient outcomes without replacing clinicians The importance of health equity in AI development Why governance matters as much as innovation The impact of the coming healthcare workforce shortage Christopher's prediction of AI-powered digital doctors How AI supports global healthcare transformation The role of blockchain in life-saving therapies Why AI should augment—not replace—human decision-making Leadership lessons for responsible AI adoption in healthcare Resources, Tools and Platforms Mentioned IoTech Consulting Straight Outta Health IT ChatGPT Claude Blockchain Electronic Health Records (EHR) Watch and Follow AI with Bry Full episodes and show notes https://bry.net/ai YouTube https://www.youtube.com/@aiwithbry Instagram https://www.instagram.com/aiwithbry Facebook https://www.facebook.com/profile.php?id=61575757332333 TikTok https://www.tiktok.com/@aiwithbry The future of healthcare will not be defined by AI alone. It will be shaped by leaders. Learn, leverage, and lead.

    Why AI Doctors Could Solve Healthcare’s Biggest Workforce Crisis

  2. Jun 25

    How Financial Services Leaders Can Adopt AI Without Creating Compliance Disasters

    In this episode of AI with Bry, we explore how artificial intelligence is transforming entrepreneurship, investing, and business strategy through one constant that technology cannot replace: human judgment. AI is enabling founders to build products faster, automate research, and accelerate execution like never before. But while AI changes how businesses are built, it does not change why people choose to invest, buy, or trust. Every negotiation, partnership, and investment still depends on human decision-making. This episode examines why AI is becoming an accelerator not a replacement for entrepreneurial thinking. Guest IntroductionAydin S. OksoyFull Name: Aydin S. Oksoy Aydin S. Oksoy is an Assistant Professor of Entrepreneurship at the University of Hartford. Before entering academia, he helped lead more than $1 billion in business transactions and managed large-scale operations across global markets. His research focuses on entrepreneurship, cognitive bias, negotiation, and how investors make decisions under uncertainty. Core Conversation SummaryBryan and Aydin explore how AI is reshaping entrepreneurship while making human judgment even more valuable. They discuss why AI dramatically reduces the barriers to building products but cannot replace trust, relationships, or strategic thinking. Founders can prototype faster than ever, yet success still depends on understanding customers, communicating ideas, and making sound decisions under uncertainty. Aydin shares how he teaches entrepreneurship by encouraging students to think independently instead of relying on AI-generated answers. Bryan and Aydin also examine how AI shifts competitive advantage from technical execution toward creativity, leadership, communication, and execution. Throughout the conversation, one idea stands out: AI helps entrepreneurs move faster, but people still decide which businesses succeed. What You Will Learn in This EpisodeHow AI is changing entrepreneurshipWhy human judgment still drives business successThe role of cognitive bias in investingWhy trust remains a competitive advantageHow AI impacts strategic decision-makingLeadership lessons for founders using AIWhy communication matters more than everHow AI is reshaping entrepreneurship educationThe future of investing in an AI-first economyResources, Tools and Platforms MentionedChatGPTClaudeUniversity of HartfordWatch and Follow AI with BryFull episodes and show notes https://bry.net/ai YouTube https://www.youtube.com/@aiwithbry Instagram https://www.instagram.com/aiwithbry Facebook https://www.facebook.com/profile.php?id=61575757332333 TikTok https://www.tiktok.com/@aiwithbry AI may accelerate innovation, but lasting businesses are still built on trust, sound judgment, and strong relationships. The entrepreneurs who thrive in the AI era will be those who combine technology with the uniquely human ability to lead, negotiate, and inspire. Learn, leverage, and lead.

    How Financial Services Leaders Can Adopt AI Without Creating Compliance Disasters

  3. Jun 15

    How Missed Follow-Ups Are Costing Home Service Businesses Thousands Every Month

    In this episode of AI with Bry, we explore how artificial intelligence is transforming small business growth, customer acquisition, and service delivery through the story of a founder who learned a critical lesson: building a great product is not enough if customers do not have time to use it. AI is changing more than marketing it is changing how work gets done. Many small business owners are overwhelmed managing operations, employees, and customers. They do not need another dashboard. They need results. Guest IntroductionArun Thachi is the founder of Supernilla, an AI-powered growth platform built for home service businesses. With more than 20 years of experience in digital marketing, AI, and enterprise innovation including 11 years at Boehringer Ingelheim Arun has led large-scale digital transformation initiatives and AI-driven marketing strategies. After leaving corporate leadership, he interviewed local business owners and discovered a common challenge: they lacked the time and resources to consistently market their businesses. That insight led him to pivot from a traditional software platform to an AI-powered service model focused on generating leads, automating follow-up, and driving growth without adding complexity. Core Conversation SummaryArun shares how his original AI marketing platform attracted paying customers but struggled with engagement. The issue was not the technology it was time. Small business owners simply could not dedicate attention to learning and managing another tool. That realization led to a powerful shift: customers do not want software. They want outcomes. The conversation explores the rise of agentic AI systems that move beyond assisting users to actively performing work. Rather than acting as copilots, these systems function more like autopilotsplanning, executing, measuring, and optimizing tasks with minimal human involvement. Arun introduces Supernilla’s SPAM framework: Sense, Plan, Act, and Measure. This feedback loop allows AI to monitor business activity, develop strategies, execute campaigns, measure results, and continuously improve performance. A major focus is the home services industry, where response speed often determines whether a lead becomes a customer. Many businesses lose opportunities simply because nobody is available to answer inquiries quickly enough. AI-powered systems can respond instantly, nurture conversations, and maintain engagement until business owners are available. Bryan and Arun also discuss trust, customer relationships, and leadership. While AI can automate many processes, founders must remain close to customers to understand real problems and build meaningful solutions. Arun openly discusses the importance of pivots and learning from failure. Rather than viewing a failed assumption as defeat, he sees it as a necessary step toward building something customers truly need. What You'll Learn• Why some AI products fail despite attracting paying customers • The difference between selling tools and selling outcomes • How agentic AI is reshaping business growth • The distinction between AI copilots and AI autopilots • How the SPAM framework drives autonomous growth systems • Why rapid lead response is critical for service businesses • How AI improves customer engagement and conversion rates • The role of trust and relationships in the AI era • Leadership lessons from product pivots and failure • How AI helps local businesses compete with larger organizations Resources MentionedSupernilla – https://supernilla.com LinkedIn – Arun Thachi https://www.linkedin.com Yale Innovation Summit https://innovationsummit.yale.edu Watch & Follow AI with BryFull episodes: https://bry.net/ai YouTube: https://www.youtube.com/@aiwithbry Instagram: https://www.instagram.com/aiwithbry Facebook: https://www.facebook.com/profile.php?id=61575757332333 TikTok: https://www.tiktok.com/@aiwithbry The businesses that thrive in the AI era will not be the ones with the most software sub

    How Missed Follow-Ups Are Costing Home Service Businesses Thousands Every Month

  4. May 29

    The Smartest AI Infrastructure Idea Most Cities Are Missing

    In this episode of AI with Bry, we explore how artificial intelligence is reshaping community infrastructure, local discovery, civic engagement, and economic development through the lens of a founder building AI-powered systems designed to solve one of the internet’s most overlooked problems: fragmented community information. AI is not just changing enterprise workflows or automating productivity. It is fundamentally changing how communities organize culture, distribute information, support local businesses, and help residents discover what is happening around them. But as this conversation reveals, the biggest challenge is not a lack of events, culture, or entrepreneurship—it is the absence of infrastructure capable of connecting and distributing that information effectively in the AI era. This episode reframes AI adoption through the realities of community fragmentation, digital infrastructure, local economic development, tourism ecosystems, cultural discovery, and the growing shift from traditional websites toward AI-driven information discovery systems. What You Will Learn in This EpisodeWhy many communities suffer from fragmented digital infrastructureThe difference between community activity and community discoverabilityHow AI-powered search is changing local information discoveryWhy traditional website traffic strategies are becoming less effectiveThe importance of structuring information for AI consumptionHow CivicLift functions as an “MLS for local culture”Why collaboration matters more than siloed digital systemsHow AI accelerates product development for lean teamsThe role of AI agents and research systems in community mappingHow AI-powered workflows reduce operational overheadWhy small teams can now build enterprise-level software systemsThe future of AI-driven local recommendations and itinerary systemsHow AI can surface cultural trends and economic insights automaticallyWhy infrastructure matters more than marketing aloneThe leadership lessons behind long-term customer-driven product developmentHow AI may reshape tourism, economic development, and civic engagementResources, Tools and Platforms MentionedCivicLift https://civiclift.com Get CivicLift https://get.civiclift.com Claude https://claude.ai ChatGPT https://chatgpt.com Gemini https://gemini.google.com Fireflies AI https://fireflies.ai Watch and Follow AI with BryFull episodes and show notes https://bry.net/ai YouTube https://www.youtube.com/@aiwithbry Instagram https://www.instagram.com/aiwithbry Facebook https://www.facebook.com/profile.php?id=61575757332333 TikTok https://www.tiktok.com/@aiwithbry The future of AI-driven communities will not belong to the towns or organizations that simply create more content. It will belong to the communities that build the infrastructure capable of organizing, distributing, and activating local culture at scale. Learn, leverage, and lead.

    The Smartest AI Infrastructure Idea Most Cities Are Missing

  5. Apr 29

    How Financial Services Leaders Can Adopt AI Without Creating Compliance Disasters

    In this episode of AI with Bry, we explore how artificial intelligence is reshaping financial services, AI implementation strategy, and the future of white-collar work through regulated industries where trust and compliance are essential. AI is changing how organizations operate, how workflows are designed, and how leaders think about expertise. The challenge is not access to AI tools, but implementing them responsibly in ways that solve real problems without introducing risk. This episode reframes AI adoption through compliance-heavy industries, operational complexity, and the gap between using AI and redesigning workflows around it. Guest: Elijah Gutman Elijah Gutman is Founder and CEO of Hartford AI Partners, an AI implementation consultancy serving financial services, insurance, venture capital, and wealth management. He also serves as AI Product Strategist at UEmergence, a FINRA-registered broker dealer, where he helped design compliant AI-driven due diligence systems for private markets. His approach is practical: AI should reduce friction, improve operations, and enhance human expertise—not replace leadership. We explore how AI adoption is moving from experimentation to operational transformation. Most companies are still in the early stage of using AI for simple tasks and have not redesigned workflows or systems around it. A key theme is layered adoption: organizations must first integrate AI into daily workflows like documentation, task management, and knowledge systems before scaling into automation and agents. AI is already compressing product development by automating interviews, requirements, task breakdowns, and engineering prep—reducing weeks of work into hours. Implementation is less a technical challenge and more an organizational one involving leadership, workflow design, and system thinking. We also discuss compliance in financial services. Many AI tools are not built for FINRA/SEC requirements like audit trails and traceability, creating real risk if deployed without expertise. A major theme is “trust as the product.” In regulated industries, the value of AI is safe, reliable execution—not just efficiency. We explore the future of work (“The Great Reshuffling”), where AI democratizes cognitive capability and shifts hiring toward adaptability, systems thinking, and collaboration with AI. Leadership takeaway: AI should amplify human judgment, not replace it. What You’ll Learn: • Why most companies are early in AI adoption • Difference between using AI and redesigning workflows • Why regulated industries are uniquely complex • How AI transforms financial services operations • Why governance and auditability matter • How AI compresses work from weeks to hours • Why workflow design matters more than tools • How AI agents reshape execution • Why knowledge systems matter • Why adoption must be staged • Why trust is becoming a core product • How workforce skills are shifting • Why AI democratizes cognitive capability • Why iteration matters in leadership • Future of AI-driven enterprise systems Resources: Hartford AI Partners https://hartfordaipartners.com Claude https://claude.ai OpenAI https://openai.com Obsidian https://obsidian.md WhisperFlow https://whisperflow.ai GetVictor https://www.getvictor.ai Watch & Follow AI with Bry: Full episodes https://bry.net/ai YouTube https://www.youtube.com/@aiwithbry Instagram https://www.instagram.com/aiwithbry Facebook https://www.facebook.com/profile.php?id=61575757332333 TikTok https://www.tiktok.com/@aiwithbry

    How Financial Services Leaders Can Adopt AI Without Creating Compliance Disasters

  6. Apr 15

    Why Software is No Longer Written It's Produced Like a Factory

    In this episode of AI with Bry, we explore how artificial intelligence is reshaping software development, enterprise delivery models, and the economics of building digital products through the lens of a founder treating software like an industrial production system. AI is becoming the core engine of how software is produced, scaled, and optimized. The shift is no longer just faster coding, but the move from handcrafted development to AI-driven software factories where systems and applications are generated and deployed at scale. This episode reframes enterprise software as a manufacturing system where ideas move through AI-powered pipelines and token economics reshape engineering value. Guest: Chris Strobl Chris Strobl is Founder and CEO of GitFlash, an AI deployment and adoption company helping enterprises become AI-native software factories. With a background in mathematics and economics from LSE and startup experience, he brings a systems approach to AI transformation. He is known for the software factory model: software is no longer manually written line by line but produced through AI pipelines that unify planning, design, development, and deployment. We explore how software development is shifting from traditional engineering to AI-native production systems. Chris describes this as an evolution of the industrial assembly line where ideas move through structured AI stages to produce software faster and at lower cost. A key shift is the breakdown of Agile and Scrum. These frameworks were designed for human coding, but AI systems shift the bottleneck from coding speed to system design and orchestration. AI is also changing cost structures. Work that once required large engineering teams can now be reduced by 90–99% in optimized workflows, changing staffing and ROI models. Chris introduces token economics, where AI usage becomes a measurable input like raw materials in manufacturing. Future engineering performance will be measured by how effectively tokens convert into business value. Incentives matter. Aligning compensation with AI usage—not just output—drives better adoption and efficiency. Many enterprises remain stuck in pilot mode. Real transformation requires moving from experimentation to full system redesign focused on growth, not just efficiency. Leadership now requires asking scale-level questions instead of incremental improvement questions. AI enables continuous production systems where software is generated, optimized, and evolved like a living factory. What You’ll Learn: • What a software factory is and why it replaces traditional dev • How AI turns software into production systems • Why Agile and Scrum are breaking down • How token economics changes engineering cost • Why software is shifting from labor to output systems • How AI reduces delivery cost by up to 90–99% • Why incentives drive enterprise AI adoption • How companies move beyond pilots • Why leadership must focus on scale • How AI enables end-to-end software pipelines • Why developers become system architects • How AI reshapes software economics • Why this shift is technical + cultural Resources: GitFlash https://gitflash.com | Software Factory Guy https://softwarefactoryguy.com Watch & Follow AI with Bry: Full episodes https://bry.net/ai | YouTube https://www.youtube.com/@aiwithbry | Instagram https://www.instagram.com/aiwithbry | Facebook https://www.facebook.com/profile.php?id=61575757332333 | TikTok https://www.tiktok.com/@aiwithbry The future of software is not how fast humans code, but how well organizations design AI production systems that turn ideas into scalable products. Learn, leverage, and lead.

    Why Software is No Longer Written It's Produced Like a Factory

  7. Apr 8

    How a Nurse Practitioner is Rebuilding Geriatric Care with AI from the Ground Up

    In this episode of AI with Bry, we explore how artificial intelligence is reshaping healthcare delivery, clinician experience, and proactive care models through the lens of a clinician entrepreneur in geriatric and behavioral health. AI is changing not just documentation and automation, but how care is delivered, how clinicians interact with patients, and how systems shift from reactive to proactive models. The challenge is not adoption—it is designing systems that reduce friction, improve outcomes, and keep patients and clinicians at the center. This episode reframes AI through geriatric care, caregiver strain, administrative burden, and the opportunity to close gaps in continuity and access. Guest: Joe Harrison Joseph Harrison is a nurse practitioner, clinician entrepreneur, and Founder & CEO of Avail Healthcare, a clinician-built medical group delivering proactive in-home and virtual care for seniors and underserved adults. He has experience in mobile care, Medicare Advantage, and geriatric mental health, leading teams supporting patients with dementia, depression, anxiety, and chronic conditions. He also serves as volunteer clinical faculty at UCSF. At Avail Healthcare, he builds care models focused on aging in place and caregiver support, grounded in the quintuple aim: patient experience, provider experience, outcomes, equity, and sustainability. We explore how AI is reshaping real-world healthcare delivery. Joe explains that geriatric systems are structurally reactive, requiring patients to come to care instead of care coming to them. This drives higher cost, fragmentation, and missed early intervention. AI enables a shift toward proactive care through remote monitoring, AI-assisted triage, and continuous communication, improving early detection and reducing emergency utilization. A major theme is administrative burden. AI scribes now document visits in real time, reducing charting, improving accuracy, and giving clinicians more time with patients. Joe notes that 15–20% of healthcare costs are administrative, creating major system-wide friction. AI reduces this load for both clinicians and patients. We also explore the caregiver crisis, with 1 in 4 adults acting as caregivers. AI helps generate care plans, coordinate resources, and reduce coordination burden. Another key insight is the rise of clinician entrepreneurs. AI tools now allow non-technical clinicians to design workflows, analyze data, and build systems using natural language interfaces. Joe emphasizes that governance, infrastructure, and privacy must scale alongside innovation to protect patients and providers. Core theme: AI should not only improve efficiency—it should improve human care. What You’ll Learn: • Why healthcare is reactive and how AI enables proactive care • How AI transforms geriatric and behavioral health delivery • Role of AI scribes in reducing burnout • Why 15–20% of healthcare costs are administrative • How AI improves documentation and billing accuracy • The caregiver crisis and AI support systems • How remote monitoring reduces ER visits • Why clinician experience affects outcomes • AI agents as virtual team members • Rise of clinician entrepreneurs using AI tools • Non-technical building via AI interfaces • Importance of governance and privacy • Alignment with the quintuple aim Resources: Avail Healthcare https://www.availhealthcare.co Watch & Follow AI with Bry: Full episodes https://bry.net/ai | YouTube https://www.youtube.com/@aiwithbry | Instagram https://www.instagram.com/aiwithbry | Facebook https://www.facebook.com/profile.php?id=61575757332333 | TikTok https://www.tiktok.com/@aiwithbry The future of healthcare AI will not be defined by automation alone, but by whether systems reduce friction, support clinicians, and bring care closer to those who need it most. Learn, leverage, and lead.

    How a Nurse Practitioner is Rebuilding Geriatric Care with AI from the Ground Up

  8. Apr 1

    Why AI is Making Healthcare Faster But Not Better for Patients

    In this episode of AI with Bry, we explore how artificial intelligence is reshaping healthcare, infrastructure thinking, and human-centered technology through the lens of a veteran technology leader and medtech advocate. AI is transforming not just software, but how industries think about scale, resilience, and human experience. The real challenge is alignment between innovation, trust, and human need—not capability alone. This conversation reframes AI through decades of infrastructure leadership, personal medical recovery, and keeping humans at the center of advancement. Guest: David Jones David Jones is a veteran technology executive with 40+ years across telecommunications, regulatory systems, networking infrastructure, and large-scale data centers. He has built companies from startup stage to billion-dollar platforms through multiple private equity cycles and acquisitions. After surviving a life-threatening infection resulting in the loss of his right hand and part of his forearm, he shifted into medtech innovation, prosthetics, and patient-centered systems. He now supports early-stage founders through the Pearl Innovation Center in Charlotte, focused on healthcare, AI, and human recovery. His perspective connects enterprise infrastructure with lived patient experience in complex healthcare systems. We explore decades of technology evolution and connect it to healthcare transformation and prosthetic innovation. David emphasizes that leadership requires adaptability, trust, and aligning strategy with system design before scaling execution. A key theme is that AI is accelerating all layers of technology but not always improving outcomes. In healthcare, AI improves documentation, billing, and workflows but often shifts rather than reduces workload, increasing administrative burden. Without intentional design, AI can optimize metrics instead of patient experience. The conversation moves into prosthetics and medtech innovation. After losing his hand, David became deeply involved in prosthetic systems, sensor integration, and AI-enabled biomechanics. Modern prosthetics are increasingly AI-driven systems using sensors, machine learning, and feedback loops to translate muscle signals into movement. However, innovation is limited by cost, market size, and awareness of what is currently possible. Upper-limb prosthetics remain significantly underserved despite advances in robotics and wearables. Through the Pearl Innovation Center, David supports ecosystem development for medtech founders navigating high complexity. Core leadership insight: technology must serve human continuity, not replace it. Trust is built through listening, not automation. AI accelerates systems, but it cannot replace empathy, context, or human attention. What You’ll Learn: • AI accelerates infrastructure but doesn’t guarantee better outcomes • Leadership requires aligning strategy with system design • Data centers function as utility ecosystems • AI increases productivity but can increase clinical workload • System design determines patient outcomes • Prosthetics are becoming AI-driven biomechanical systems • Upper-limb prosthetics remain underdeveloped • Sensor fusion + ML reshape human-device interaction • Market size influences medtech innovation • Ecosystem support is critical for founders • Trust remains foundational Resources (full links available on show page): Pearl Innovation Center (Charlotte MedTech Ecosystem) Wexford Connect Labs Watch & Follow AI with Bry (all platforms available here): Full episodes: https://bry.net/ai The future of AI in healthcare and infrastructure will not be defined by speed alone, but by how well we keep humans at the center of increasingly intelligent systems. Learn, leverage, and lead.

    Why AI is Making Healthcare Faster But Not Better for Patients
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5
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About

AI with Bry – Scale Smarter with AI Tools & Strategies AI with Bry is the go-to podcast for business leaders who want to harness the power of artificial intelligence to drive real growth. Hosted by Bryan Dennstedt, a Fractional CTO at TechCXO who scaled 45+ companies and built MDLIVE into a multibillion-dollar health tech platform, this show cuts through the hype and focuses on practical, real-world AI applications. If you’re a founder, entrepreneur, or marketer (especially at a company between $1M–$50M in revenue) looking to scale smarter, this podcast is your roadmap. Bry shares his 25+ years of technology leadership and insights so you can leverage AI tools, agents, prompts, and workflows to work smarter, not harder. Each episode delivers clear, actionable ideas to integrate AI into your business. You’ll hear creative AI prompt ideas, step-by-step automation demos, and in-depth interviews with AI experts. Bry’s modern CTO perspective means every topic is rooted in real business needs – no fluff, no hype. Whether he’s exploring an agentic AI use case (like an AI agent for customer service) or showcasing the latest audio, video, and image generation tools, Bry always ties it back to startup strategy and practical outcomes. AI with Bry doesn’t just talk about shiny AI trends; it shows you how to use them to get results. What You’ll Learn Tune in to AI with Bry and discover how to unlock AI’s full potential for your business. In this podcast, you’ll learn about the latest AI tools for business, how to use ChatGPT and other generative AI models in your daily operations, and time-saving automation workflows powered by AI. We dive into advanced prompt engineering techniques that can make AI outputs dramatically more effective. You’ll also hear how to build and deploy AI agents to automate tasks autonomously, boosting efficiency across your organization. Beyond the tools and tech, we explore big-picture applications: AI in marketing to boost campaign performance and personalize customer engagement, AI in healthcare drawn from Bry’s firsthand experience in health tech, and the latest trends in AI in tech startups. Whether you’re a tech founder or an operations lead, AI with Bry is one of the top AI podcasts for entrepreneurs looking to stay ahead of the curve. Each episode feels like a masterclass in AI for founders and innovators at small to mid-sized companies (AI for SMBs). It’s packed with insights on startup growth with AI, improving AI productivity, and forward-looking AI strategies to give your business a competitive edge. Sample Topics & Episodes Generative AI Demystified: How to use ChatGPT and other generative AI tools to create content and solve business problems.Automation & AI Agents: Building autonomous AI agents and workflows to handle tasks like customer support, scheduling, or data analysis.AI in Marketing: Boosting your marketing campaigns and customer engagement with AI-driven insights and personalization.AI in Healthcare: How AI is improving patient care, streamlining operations, and what these innovations mean for businesses beyond healthcare.Productivity Tools for SMBs: The best AI tools for business productivity, tailored for startups and small to mid-sized companies.Interviews with AI Innovators: Candid conversations revealing real-world success stories and actionable strategies for applying AI in startups.Modern CTO Insights: How to build an AI-ready tech stack and cultivate a team culture that embraces data and automation. Ready to elevate your business with AI? Follow AI with Bry now so you never miss an episode. For deeper engagement, visit AIwithBry.com to access bonus content, resources, and more – all to help you scale smarter.

Information

  • Creator
    Bryan Dennstedt
  • Years Active
    2025 - 2026
  • Episodes
    38
  • Rating
    Clean
  • Copyright
    © AI with Bry
  • Show Website
    AI with Bry Podcast