The Manufacturers Network

What happens on the manufacturing floor when pressure goes up, communication shuts down, and your best employees stop speaking up?In this episode of The Manufacturers Network Podcast, Lisa Ryan talks with leadership consultant, speaker, and applied neuroscience practitioner Kabrina Ashley about how stress and burnout affect communication, decision-making, safety, employee retention, and human judgment in manufacturing. One of the earliest warning signs isn't always poor performance. It's silence.An experienced employee notices something doesn't sound right. A high performer sees a potential problem but stops mentioning it. Someone has an instinct that a machine, process, or production line needs attention, but they've learned that speaking up may get them dismissed as overly cautious.Kabrina explains how sustained pressure can narrow attention and create tunnel vision. Employees become focused on completing the immediate task, protecting themselves from criticism, and getting through the shift. That can mean missing the small warning signs that could prevent a larger safety, quality, or production problem.Lisa and Kabrina also discuss the growing importance of human judgment as manufacturers adopt AI and automation. Technology can provide data, dashboards, and alerts, but experienced workers carry what Lisa calls a "sensory library." They can hear, feel, smell, notice, remember, and recognize patterns that may never appear on a dashboard.The challenge for manufacturing leaders is creating an environment where people still use that judgment and feel safe enough to speak up.The conversation also explores burnout in manufacturing and the warning signs leaders often miss. High performers may continue producing excellent work while quietly withdrawing. They stop volunteering ideas. They stop staying the extra five minutes. They stop fixing problems nobody asked them to fix. Eventually, the manufacturer risks losing an employee whose knowledge may take two or three people to replace.Kabrina shares practical, brain-based leadership strategies plant managers and frontline supervisors can use under pressure, including slowing down before reacting, using breathing to regain composure, paying attention to physical signs of stress, and asking better questions instead of settling for "Everybody good?"In this episode:• Why silence can be an early warning sign of burnout and disengagement • How chronic pressure affects attention, communication, and decision-making • Why psychological safety matters for manufacturing safety and quality • How AI and automation increase the importance of human judgment and communication • Why experienced workers' tribal knowledge and sensory knowledge need to be protected • How generational differences can create communication breakdowns on the shop floor • Why leaders often repeat the management behaviors they experienced themselves • Early signs that a high-performing employee is mentally checking out • Why rewarding your best employees with more work can eventually drive them away • How breathing and emotional regulation can help leaders make better decisions under pressure • Why employee behavior that looks like a bad attitude may have another explanation • How leaders can ask better questions to uncover problems before they become bigger problemsOne practical change manufacturing leaders can make immediately: stop asking questions that make "yes" the easiest answer.Instead of "Everybody good?" or "Did everybody get it?" ask employees what they're noticing. Ask what's working with a new machine or process and what isn't. Ask what they see that leadership may be missing.When manufacturers invest in AI, automation, and smarter technology, human judgment doesn't become less important. The ability to notice, question, communicate, and intervene may become even more valuable.#Manufacturing #ManufacturingLeadership #AIinManufacturing #Leadership #EmployeeRetention #ManufacturingWorkforce #Burnout #HumanJudgment #WorkplaceSafety #Automation #ManufacturersNetwork

Manufacturers are investing millions in AI, Microsoft 365, automation, and digital transformation. Yet many organizations are still struggling with the same challenge: getting employees to actually use the technology while keeping operations secure.In this episode of The Manufacturers Network Podcast, I sit down with Denis O'Shea, Founder and CEO of Mobile Mentor, to discuss what manufacturers need to know about cybersecurity, AI adoption, Microsoft Copilot, and protecting frontline workers.Drawing on more than two decades of helping organizations bridge the gap between technology and employee adoption, Denis explains why technology alone never solves the problem. Success depends on helping people understand, trust, and use the tools they're given.We also explore one of the biggest security risks facing manufacturers today: shared passwords. Denis explains why eliminating passwords, moving to cloud-based security, and properly supporting frontline workers can dramatically reduce cyber risk while improving productivity.If you're a manufacturing executive, plant manager, HR leader, IT professional, or operations leader trying to balance innovation with security, this conversation offers practical guidance you can implement immediately.In this episode, you'll learn:Why manufacturers struggle to get full value from Microsoft 365 and AI investmentsThe biggest cybersecurity threats facing manufacturing companies todayWhy shared passwords create unnecessary security risksHow manufacturers can better support frontline employees using AI toolsWhat Microsoft Copilot, AI agents, and workflow automation mean for manufacturingWhy employee adoption matters as much as technology selectionThe advantages of cloud security over aging on-premise systemsHow to improve both productivity and cybersecurity without overwhelming your workforceKey TakeawaysTechnology is evolving faster than people can adopt it. Organizations often purchase powerful software but use only a fraction of its capabilities because employees lack training, confidence, or support.Frontline workers are frequently overlooked during digital transformation initiatives. While executives receive AI training and new tools, employees on the plant floor often receive little guidance, creating both productivity and security gaps.Manufacturers should prioritize eliminating shared passwords wherever possible. According to Denis, compromised credentials remain one of the leading causes of security breaches, particularly in environments where multiple employees share devices and accounts.Cloud-based platforms continue to provide stronger security protections than many organizations can maintain on their own, making cloud migration an important long-term cybersecurity strategy.As AI capabilities expand, organizations also need to monitor usage and costs. New AI assistants, agents, and automated workflows create tremendous opportunities, but they also introduce new budgeting and governance challenges that leaders should understand before scaling adoption.About Denis O'SheaDenis O'Shea is the Founder and CEO of Mobile Mentor, a global Microsoft partner specializing in helping organizations improve cybersecurity, modern workplace productivity, AI adoption, and employee technology experiences. After spending 15 years with Nokia during its rise to global leadership, Denis founded Mobile Mentor to help organizations close the gap between rapidly advancing technology and real-world employee adoption.Connect with Denis O'SheaLearn more about Mobile Mentor and Denis's work helping organizations strengthen cybersecurity, improve Microsoft adoption, and prepare for the future of AI in the workplace.Listen If You Want To Learn About:Manufacturing cybersecurityAI in manufacturingMicrosoft Copilot for manufacturersFrontline worker technologyManufacturing digital transformationCybersecurity best practicesPasswordless authenticationMicrosoft 365 adoptionCloud securityAI governanceEmployee technology adoptionManufacturing leadershipIndustrial cybersecurityRecommended ResourcesIf you enjoyed this conversation, check out other episodes of The Manufacturers Network Podcast, where manufacturing leaders share practical insights on workforce development, leadership, technology, retention, automation, and building stronger organizations.Keywords: manufacturing cybersecurity, AI adoption, Microsoft Copilot, manufacturing technology, industrial cybersecurity, frontline workers, digital transformation, cloud security, Microsoft 365, passwordless authentication, manufacturing leadership, cybersecurity best practices, AI governance, manufacturing innovation, employee technology adoption.

Artificial intelligence is everywhere. Unfortunately, so is AI hype.Manufacturers are hearing promises about smarter factories, automated planning, and AI-powered decision making. But what actually works inside a real manufacturing operation where data is messy, production schedules change hourly, and experienced employees solve problems machines never see coming?In this episode of The Manufacturers Network Podcast, Lisa Ryan talks with Mike Fedorov, Co-CEO and COO of Applied AI Labs and former manufacturing leader at Mars and Accenture. Together, they cut through the AI buzzwords and focus on practical strategies manufacturers can implement today.Instead of chasing shiny technology, Mike explains why successful AI projects begin with operational pain points, involve frontline employees from day one, and focus on delivering measurable business value quickly.If you're wondering how artificial intelligence fits into manufacturing without replacing your workforce or sacrificing human judgment, this conversation is a must-listen.What You'll LearnWhy more than 80% of AI projects fail before delivering meaningful resultsHow manufacturers can identify the best first AI projectWhy employee buy-in matters more than software selectionThe difference between AI demonstrations and real factory floor solutionsHow AI can improve production planning and sequencingWhy dirty manufacturing data shouldn't stop your AI journeyHow experienced employees and AI create stronger decisions togetherThe biggest mistakes companies make when implementing AIWhy resilience still matters even in highly automated operationsHow manufacturers can begin using AI without a massive technology budgetKey TakeawaysSolve Real Problems FirstThe best AI projects don't begin with technology.They begin with the biggest frustrations employees experience every day.Instead of asking, "Where can we use AI?" ask:What's slowing us down?What's costing us money?What repetitive work frustrates our people?Those answers often reveal the highest-return automation opportunities.Human Judgment Still WinsAI is remarkably good at processing data.Experienced people are remarkably good at recognizing when something doesn't feel right.The future of manufacturing isn't AI replacing people. It's AI helping experienced employees make faster, better decisions while preserving the judgment developed over decades on the plant floor.Don't Wait for Perfect DataMany organizations delay AI because they believe their data isn't clean enough.Mike argues that's the wrong approach.Real manufacturing environments always contain incomplete, inconsistent, or messy data. The goal isn't perfection. It's building AI systems that can operate successfully in the real world.Start Small. Win Early.Manufacturers don't need million-dollar AI initiatives.Choose projects that are:Easy to implementHighly valuableCapable of delivering measurable ROI quicklyEarly wins build confidence throughout the organization and create momentum for larger AI initiatives.AI Should Strengthen Your WorkforceThe strongest manufacturing organizations combine:Experienced peoplePractical AI toolsOperational expertiseContinuous improvementTechnology doesn't replace great employees.It helps them spend less time fighting systems and more time solving problems that matter.Featured GuestMike Fedorov is the Co-CEO and COO of Applied AI Labs, helping mid-market manufacturers deploy practical AI solutions that improve operations, production planning, and business performance. Before founding Applied AI Labs, Mike spent 25 years leading manufacturing, supply chain, and consulting initiatives at Mars and Accenture.Connect with Mike FedorovLinkedIn: Mike FedorovApplied AI LabsEmail: [email protected] The Manufacturers Network PodcastHosted by Lisa Ryan, CSP, founder of Grategy and author of Smart Plant: Aligning AI, Automation, and People, The Manufacturers Network Podcast features conversations with manufacturing leaders, innovators, and experts who are helping organizations build stronger cultures, improve employee retention, develop frontline leaders, and prepare for the future of manufacturing.Whether you're a manufacturer, plant manager, operations leader, HR professional, or executive, each episode delivers practical strategies you can apply immediately to improve workforce performance and business results.Keywords: AI in manufacturing, manufacturing AI, artificial intelligence for manufacturers, factory automation, manufacturing leadership, AI adoption, manufacturing operations, production planning, production scheduling, AI agents, manufacturing technology, digital transformation, frontline leadership, employee retention, manufacturing culture, operational excellence, Industry 4.0, smart manufacturing, production optimization, manufacturing workforce, manufacturing podcast, manufacturing innovation, manufacturing productivity, human judgment, manufacturing efficiency

How can manufacturers solve workforce shortages while embracing artificial intelligence, automation, and digital transformation?In this episode of The Manufacturers Network Podcast, Lisa Ryan sits down with Bryce Carpenter, Executive Vice President and Chief Operations & Strategy Officer at Conexus Indiana, to discuss how one of America's strongest manufacturing states is preparing its workforce for the future.Bryce shares how manufacturers, educators, policymakers, and economic development organizations can work together to strengthen talent pipelines, accelerate technology adoption, and help small and mid-sized manufacturers compete in an increasingly digital economy.From apprenticeships and plant tours to AI use cases and workforce partnerships, this conversation is packed with practical ideas for manufacturing leaders looking to attract talent, improve operations, and future-proof their organizations.In This Episode You'll LearnWhy workforce development remains manufacturing's biggest challenge and biggest opportunityHow AI is helping reshape the image of modern manufacturing careersWhy apprenticeships and work-based learning outperform traditional recruiting methodsHow manufacturers can partner with schools to build long-term talent pipelinesWhy digital transformation creates higher-paying jobs instead of replacing workersHow manufacturers are successfully introducing AI without creating employee resistanceWhy sharing best practices across manufacturers accelerates innovationThe value of plant tours, peer networking, and manufacturing associationsHow Conexus Indiana collected more than 100 real-world AI manufacturing use casesWhy collaboration between industry, education, and government is essential for workforce successKey Topics DiscussedWorkforce developmentManufacturing workforce shortagesAI in manufacturingDigital transformationAdvanced manufacturingManufacturing leadershipApprenticeshipsWork-based learningCareer and technical education (CTE)Community collegesEmployee retentionWorkforce recruitmentManufacturing technologyIndustrial automationCobotsManufacturing associationsEconomic developmentManufacturing innovationSupply chain developmentManufacturing careersMemorable Quotes"The day I started, the biggest challenge was workforce. Today, it's still workforce.""AI is helping manufacturers show young people what modern manufacturing really looks like.""Technology is additive to workers, not a replacement for workers.""You don't have to solve these problems on your own. Someone has already learned the lessons."Why This Conversation MattersManufacturers everywhere are competing for skilled workers while simultaneously navigating artificial intelligence, automation, and rapid technological change.Bryce explains that success isn't just about adopting new technology. It's about building partnerships that connect manufacturers with schools, community colleges, policymakers, and each other.The companies that thrive won't necessarily be the ones with the biggest budgets. They'll be the organizations that embrace collaboration, invest in people, and create cultures where technology helps employees do more meaningful work.For manufacturers wondering how to recruit younger workers, introduce AI successfully, or build stronger workforce pipelines, this episode offers a practical roadmap.About Bryce CarpenterBryce Carpenter is the Executive Vice President and Chief Operations & Strategy Officer at Conexus Indiana, where he helps strengthen Indiana's advanced manufacturing and logistics ecosystem through workforce development, digital transformation, economic strategy, and collaboration between industry, education, and government.Conexus Indiana works with more than 130 manufacturing and logistics partners to advance innovation, workforce readiness, and competitiveness across one of the nation's largest manufacturing economies.ConnectLearn more about Conexus Indiana: https://www.conexusindiana.comConnect with Bryce Carpenter on LinkedIn.Connect with Lisa Ryan: https://www.LisaRyanSpeaks.comLearn more about Smart Plant: Aligning AI, Automation, and People https://www.SmartPlantBook.comListen to more episodes of The Manufacturers Network Podcast: https://www.TheManufacturersNetworkPodcast.comRecommended ForManufacturing CEOsPlant ManagersOperations LeadersHR LeadersWorkforce Development ProfessionalsManufacturing ExecutivesCommunity College LeadersEconomic Development OrganizationsManufacturing AssociationsCareer and Technical Education (CTE) LeadersIndustrial EngineersState Manufacturing PartnershipsGovernment Workforce Agencies

What happens after your product leaves the factory may determine your profitability just as much as what happens inside it.In this episode of The Manufacturers Network Podcast, Lisa Ryan talks with Phil Rees, founder of ShipMax and a supply chain strategist with more than 20 years of experience helping manufacturers, retailers, and global brands improve fulfillment, warehousing, customs compliance, and international logistics.Phil explains why many manufacturers focus heavily on production efficiency while overlooking logistics decisions that quietly increase costs, delay shipments, and create unnecessary risk. He also shares how artificial intelligence is transforming warehousing and fulfillment, why companies should rethink inventory strategies, and what changing global trade regulations mean for manufacturers expanding into international markets.If you're responsible for manufacturing operations, supply chain management, distribution, procurement, or business growth, this episode offers practical strategies for building a more resilient, efficient supply chain.In This Episode You'll LearnThe biggest logistics mistakes manufacturers make after products leave the factoryWhy HS (Harmonized System) codes have a major impact on customs clearance and import costsHow manufacturers can reduce supply chain costs by minimizing border crossingsWhen reshoring, nearshoring, or regional inventory makes financial senseHow AI is improving warehouse management, fulfillment, inventory forecasting, and logistics planningWhat manufacturers should know about tariffs, customs regulations, and global trade changesWhy supply chain strategy should be reviewed continuously instead of treated as a one-time projectPractical ways manufacturers can begin using AI immediately to improve operationsKey Topics DiscussedManufacturing supply chainsGlobal logisticsWarehousingFulfillmentDistribution strategyCustoms complianceHS CodesInternational shippingTariffsReshoringNearshoringFourth-party logistics (4PL)Warehouse automationRoboticsArtificial intelligence in manufacturingAI for supply chain managementInventory optimizationManufacturing operationsGlobal tradeMemorable Quotes"Supply chain compliance is a journey, not a destination.""Every time you cross a customs border, you add cost.""If you put garbage into AI, you'll get garbage out.""Manufacturers that aren't experimenting with AI risk falling behind."Why This Conversation MattersManufacturers spend enormous resources improving production efficiency, yet many overlook opportunities to optimize what happens after products leave the factory.As tariffs evolve, customer expectations change, and artificial intelligence reshapes logistics, manufacturers need supply chains that are flexible, data-driven, and globally competitive.Phil explains why resilient supply chains depend on more than transportation. They require smarter inventory placement, better customs planning, AI-powered decision-making, and continuous adaptation to changing global markets.Whether you're shipping across the country or around the world, these strategies can help reduce costs, improve customer experience, and strengthen your competitive advantage.About Phil ReesPhil Rees is the founder of ShipMax, where he helps manufacturers, retailers, and growing brands optimize fulfillment, warehousing, logistics, and international distribution. With more than two decades of experience in global supply chain management, Phil specializes in helping organizations simplify complex logistics while preparing for future growth through automation and artificial intelligence.ConnectLearn more about ShipMax:https://www.shipmax.co.ukConnect with Phil Rees on LinkedIn. 🎯Phil Rees | LinkedInConnect with Lisa Ryan:https://www.LisaRyanSpeaks.comLearn more about Smart Plant: Aligning AI, Automation, and PeopleAmazon.com: Smart Plant: 9798995174707: Ryan, Lisa: BooksListen to more episodes of The Manufacturers Network Podcast:https://www.manufacturers-network.com/Recommended ForManufacturing CEOsOperations LeadersSupply Chain DirectorsPlant ManagersLogistics ManagersProcurement ProfessionalsDistribution LeadersWarehouse ManagersManufacturing ExecutivesBusiness OwnersIndustrial EngineersInternational Trade Professionals