At the Intersection: Insights for Thriving at the Crossroads of Change

How Family Businesses Can Win With AI

Everyone can get AI now, so “we’re using AI” isn’t a strategy anymore. After a talk with HR leaders at the University of Toledo Family Business Center [https://www.linkedin.com/company/university-of-toledo-fbc/posts/?feedView=all], we’re stuck on a bigger question: what actually makes a family business or privately owned company win when the same tools are available to your competitor down the street? We dig into the human reality behind AI adoption inside organizations. The CEO or president feels the urgency to drive strategy. The people doing the work feel the risk, and sometimes real fear, about what changes mean for their jobs. Then HR leaders, CHROs, and talent directors sit right in the middle, trying to translate vision into action while keeping trust intact. That tension isn’t a side note, it’s the work. The heart of the conversation is knowledge versus information. Information is abundant. Knowledge is judgment, especially when the manual runs out and a decision still has to be made. That judgment lives in your domain intelligence: the hard-earned context in your people’s heads, the patterns your teams learned over decades, and the “moat” that helped your business survive tough cycles. We end with a grounded way to approach AI: go back to what made you successful, get clear on what makes you unique, then start small, earn early wins, and let the results compound. Enjoying the show? Subscribe, share this with a leader in your organization, and leave a review with the biggest AI question your team is wrestling with. I'm Craig Francisco [https://www.linkedin.com/in/craigfrancisco/], CEO of AI23. [https://www.linkedin.com/company/ai23] I help privately held and family businesses turn their hard-earned domain intelligence into an advantage AI can't hand your competitor down the street. If your team is wrestling with where to start, the best place to begin is a conversation: www.craigfrancisco.com

Why AI Adoption Will Shift From Tech To People

AI is getting cooler by the week, but I think the next big shift has nothing to do with the newest model or the slickest demo. After spending time at a packed AI event in downtown Cleveland where 500 people chose between four different workshops, I walked away with a clear takeaway about what leaders want today and what they’ll desperately need tomorrow. Right now, most attention goes to the technology. People gravitate toward sessions with “Gen AI” energy because it’s thrilling, tangible, and it feels like a shortcut to transformation. Meanwhile, human centered conversations about how teams actually partner with AI tend to get less love, even when the content is practical and grounded. I get it. The tech is impressive. But the moment companies try to scale beyond experimentation, the real friction shows up fast. My prediction: within the next 12 months, that preference flips. Organizations are going to feel overwhelmed by AI implementation and start “starving for support” on the human side. How do you get teams to understand the tools, trust them, and use them well? How do you structure the organization for adoption, governance, and real value? That is the work that determines whether AI becomes a competitive advantage or an expensive curiosity. If you’re navigating AI strategy, change management, or scaling AI across your business, this short episode is built to challenge your assumptions and sharpen your focus. Subscribe, share it with a leader who’s wrestling with AI adoption, and leave a review with your take: are we heading toward a human first AI era?

Why The AI Boom Forced A Five Month Reset

AI is moving so fast that even seasoned leaders are admitting something they rarely say out loud: this is hard to get your arms around. I’m recording from my car for this quick return, and I want to be candid about why the show went quiet for five months. The acceleration in AI tools, products, and company claims wasn’t just “a lot to track” it was genuinely unsettling, and I needed time to process what it means for real businesses making real bets. What I keep hearing from CEOs and operators is the same double fear: nobody wants to get left behind, but nobody wants to make the wrong move forward. Add the nonstop stream of “new AI workflows” for accounting firms, customer service centers, and every other function, and you get confusion instead of clarity. So we talk about the mindset shift that matters most right now: getting comfortable saying, “I don’t know,” and using that honesty to ask better questions, test smarter, and lead teams through uncertainty. Going forward, I’m committing to practical information over theory. You’ll hear real stories from conversations with companies that are implementing AI, debating AI adoption, and learning where it truly helps and where it doesn’t. Episodes may be short, and they’ll come more frequently only when they bring you clear value. If you want grounded AI leadership insights without the hype, subscribe, share this with a colleague, and leave a quick review. What’s the one AI decision you’re wrestling with right now?

Rise Of The Potential Era

The room buzzed with possibility at the Great Lakes AI Conference [https://www.linkedin.com/showcase/great-lakes-aiweek/], held on the beautiful campus of Bowling Green State University [https://www.linkedin.com/school/bowling-green-state-university/posts/?feedView=all] and that energy sparked a message leaders need right now: the fastest way to harness AI is to slow down, listen, and design it around your people. We, at AI23, call this shift the Potential Era [https://www.linkedin.com/pulse/potential-era-rethinking-work-value-human-possibility-ai23-zqgrc/?trackingId=0toY%2F3iRQo2TkV%2Bm8N2UeQ%3D%3D]—a move from rigid processes to adaptive systems where humans and AI partner to amplify judgment, creativity, and speed. I share the story of AI23 [https://ai23.ai/] that chose research and learning over rushing products, and why that discipline builds better instincts for real-world impact. We map a pragmatic path for executives and operators: clarify outcomes, observe how great work actually happens, co-design pilots with domain experts, and scale what sticks. Instead of jamming shiny tools into fragile processes, we focus on culture, shared literacy, and human-in-the-loop guardrails that protect quality and trust. You’ll hear how leaders can signal courage and curiosity, how to avoid the trap of complexity theater, and where to start with narrow, high-friction workflows that benefit most from augmentation. We get practical about metrics—cycle time, error rates, employee sentiment, and customer value—and about building cross-functional squads that bring legal, data, and frontline operators together from day one. The result is a workplace where people do more of what only humans can do, while AI carries the repetitive load that kept their best ideas stuck. If you’re a CEO, team lead, or builder wondering how to bring AI in without breaking what already works, this conversation offers a clear blueprint and a cultural north star. Subscribe, share with a colleague who’s wrestling with AI adoption, and leave a review with the one change you’ll make this quarter. What’s your first step into the Potential Era?

Designing Adaptive Organizations for the Human–AI Era

If you’ve felt the ground shifting under your feet, you’re not imagining it—the rules of building and leading organizations are changing in real time. In this episode, we sit down with strategist and organizational architect Erica Ishida [https://www.linkedin.com/in/ericayesko/] and human performance coach Ellen Palmer [https://www.linkedin.com/in/ellenclarkpalmer/] to explore what it takes to design truly adaptive organizations—where humans and AI collaborate to unlock dormant potential. We trade top-down hierarchy for living networks, and the obsession with efficiency for efficacy—solving real problems, discovering new opportunities, and measuring value beyond tasks. Erica breaks down the grounding principles that replace the myth of a universal roadmap: build radical trust, design for bi-directional learning, redefine value as potential realized, and treat AI as adaptive intelligence—a partner in navigating messy systems. Ellen brings the human foundation into sharp focus: regulated nervous systems, quality sleep, presence, and healthy device boundaries aren’t indulgences—they’re the infrastructure for better decisions, clearer thinking, and sustainable performance. Together, we explore the hard truth about leaders who refuse to evolve (irrelevance is inevitable) and why magnetic cultures attract top talent by honoring creativity, calm, and contribution. You’ll also hear candid personal stories: Ellen’s forced slowdown after injury that clarified her priorities, and Erica’s courageous pivot from corporate executive to founder, guided by love, trust, and inner wisdom. Walk away with practical starting points—set a new commitment, protect restorative rituals, reorient around trust and learning, and partner deeply with AI—so you can shift from survival to potential and build teams that are both humane and high-performing. If this conversation sparks a rethink, share it with a leader who needs it, hit Follow to catch future episodes, and leave a review with the principle you’ll adopt first.