Beyond AI: Wisdom at Work

In a world where AI accelerates decisions, the real risk isn’t speed. It’s how we decide what matters. In this episode of Qonversations, Marianne Bachynski joins Brian Gorman to explore what leadership requires when certainty disappears and intelligence is no longer the differentiator.

Drawing on her significant technology leadership experience in financial services during the internet boom and her book Fit for Uncertainty, Lead with Purpose, Adapt to Change, Marianne makes a clear case. Traditional top-down leadership models cannot keep up

with the probabilistic, fast-moving nature of AI.

The conversation moves beyond theory into practice. Marianne and Brian explore why leadership must become more distributed, why communication, not control, is now the core leadership capability, and why culture is no longer a backdrop but the system that determines whether AI creates value or risk. They also challenge a common assumption: that AI replaces human work. Instead, Marianne emphasizes augmentation where human judgment, oversight, and collaboration become even more essential as systems grow more complex.

Throughout the discussion, a deeper tension emerges. As AI expands what organizations can do, leaders must rethink how decisions are made, who makes them, and what guardrails are required before those decisions become embedded into how the organization operates. This is a conversation about leadership under pressure, where humility, clarity, and shared understanding matter more than certainty. (35 minutes)

If AI is accelerating everything, what happens when we don’t pause long enough to think? In this episode of Qonversations, Mak Dizdar, head of Strategy and Consulting for Curious Lion, joins Brian Gorman to examine the tension between AI and critical thinking. As organizations rush to implement AI, many skip the most important step: defining the problem. Faster execution, without clarity, simply leads to faster misalignment.

Mak offers a sharp lens. AI doesn’t improve thinking; it amplifies it. For critical thinkers, it expands capability. For those stuck in busy work, it accelerates noise. The conversation challenges how we measure productivity in knowledge work, emphasizing reflection, pattern recognition, and the ability to reassess whether the target itself has shifted. It also draws a clear distinction between information and true understanding AI can replicate knowledge, but not the deeper, internalized intelligence that shapes judgment.

As decision making becomes more distributed, critical thinking is no longer optional. It is a leadership requirement. Because the question isn’t whether AI can think. It’s whether we still will. 

AI is no longer just assisting work. It is beginning to act on its own.

In this episode of Qonversations, Logan Kelly joins Brian Gorman to explore the rise of agentic AI, systems that don’t simply respond to prompts but execute tasks autonomously. That shift forces a sharper leadership question. If machines can now perform skilled work, what becomes distinctly human?

Logan, the CEO of agentic AI companies Waxell AI and Callsine, explains how his companies use agentic AI to expand employee capability rather than replace it, while Brian presses on the strategic risk. When AI becomes the strategy instead of the infrastructure, judgment can fall behind adoption. Clean data, strong systems, and clarity of purpose matter more than hype. Speed increases. So does consequence.

They examine how AI is reshaping higher education and talent development. If tools can perform work that once required years of training, memorization is no longer the differentiator. Strategic thinking is. Context is. The ability to see second- and third-order effects becomes more valuable than task execution alone.

The conversation also challenges inherited assumptions about productivity. If AI compresses time and expands output, does the 40-hour workweek still make sense? Or does leadership need to redesign work around human energy rather than tradition? As cognitive load increases, so does the need for recovery, focus, and intentional structure.

The tension running through the episode is simple but urgent. AI can execute at scale. Leadership must decide what is worth executing. The organizations that thrive will not be the fastest adopters. They will be the most discerning. 

Artificial intelligence is changing how organizations operate. But the real leadership challenge is not the technology. It’s how humans choose to use it. In this episode of Qonversations, host Brian Gorman speaks with Joshua Gould, CEO of The Big Word, a global language services company supporting governments, courts, healthcare systems, and security organizations around the world. Leading an organization with more than 15,000 linguists, Gould has experienced firsthand how waves of technological disruption reshape industries, and what leaders must do to guide people through that change.

Their conversation explores the tension between AI-driven intelligence and human wisdom. While AI can dramatically increase speed, scale, and access to information, Gould argues that successful implementation depends on something machines cannot provide, human judgment. He stresses the importance of leaders balancing efficiency with responsibility, ensuring that technology enhances human decision-making rather than replacing it.

Josh and Brian also discuss the realities many organizations overlook when adopting AI: resistance from stakeholders, the importance of articulating clear value, and the danger of chasing technology without a clear purpose. As Gould notes, the organizations that benefit most from AI are not the ones that adopt it fastest, but the ones that apply it most thoughtfully.

At its core, this conversation asks a deeper leadership question: If intelligence is becoming abundant through machines, how will leaders ensure wisdom remains at the center of their decisions?

In this episode of Qonversations, Ines Garcia, founder and CEO of Get: agile and author of Nature’s Blueprint for Business: Harnessing the Hidden Power of Edges, joins host Brian Gorman to explore what leaders can learn from natural systems. Drawing on her work in circular economy, biomimicry, and organizational coaching, Ines challenges traditional, siloed structures and invites leaders to rethink how organizations are designed.

A central theme is the power of “edges.” In nature, edges—where ecosystems meet—are sites of heightened productivity and resilience. In organizations, however, boundaries often become rigid and divisive. Ines suggests that innovation and adaptability increase when leaders design for interaction and flow rather than hierarchy and containment.

The conversation also highlights diversity and redundancy as strategic strengths, not inefficiencies. Just as biodiversity protects agricultural systems from collapse, varied perspectives and distributed capability strengthen organizations facing disruption. Brian and Ines extend this thinking into the idea of regeneration by design, moving beyond sustainability toward actively improving systems over time.

Throughout the episode, Ines emphasizes a critical leadership shift. Focus on function, not tools. Nature solves for function with remarkable efficiency and elegance. Organizations that obsess over tools without clarifying function risk complexity without coherence. By observing how ecosystems coordinate, renew, and adapt, leaders can design organizations that are more resilient, innovative, and aligned with the realities of a rapidly changing world.

This episode invites decision-makers to reconsider the structures they have inherited and to explore how expanding organizational “edges” may unlock new levels of collaboration, creativity, and long-term value. 

In this episode of Qonversations, Edosa Odaro joins host Brian Gorman for a clear-eyed conversation about what it actually takes to make AI work for people and performance. Edosa, author of The Values of Artificial Intelligence: How Smart Leaders Capture and Connect AI Value to Human Values, makes a simple but often ignored point. Successful AI initiatives rarely begin with technology. They begin with people. With clarity about purpose. With alignment around what “value” truly means.

Too many organizations rush toward AI for speed, automation, or cost reduction. The technology may function, but the value fails because financial metrics were treated as the only definition of success. Edosa explains how misalignment shows up in predictable ways: when lab performance doesn’t translate to real-world results, when pilots don’t scale, when early wins don’t sustain, and when stakeholders define value in fundamentally different terms.

The conversation explores how leaders can avoid those traps by creating cross-functional value teams, developing tools that translate technical capability into human impact, aligning incentives and metrics across functions, and building a shared language around value before writing a single line of code. They also confront a larger shift: as AI commoditizes intelligence, discernment becomes the differentiator. If machines can optimize decisions, leaders must decide what outcomes are worth optimizing in the first place.

Brian describes Edosa’s framework as the kind of guide every leader should keep on their desk and revisit often not because it simplifies AI, but because it sharpens judgment. This episode is a practical, grounded roadmap for leaders who want AI to create genuine human-AI win-wins rather than expensive lessons.

In this episode of Qonversations, New Market Advisors Managing Director Steve Wunker joins host Brian Gorman to explore artificial intelligence through an unexpected lens: evolution. Drawing on the book AI and the Octopus Organization: Building the Superintelligent Firm (co-authored by Steve and Amazon Futurist in Residence Jonathan Brill), the conversation uses contrasting stories of the ammonite and the octopus to examine why too many of today’s organizations are at risk of not surviving. The ammonite relied on rigid armor and disappeared when conditions changed. The octopus survived by sensing, learning, and responding quickly, an analogy that becomes a powerful framework for understanding how leaders need to reshape organizations today in response to AI.

Rather than treating AI as a productivity tool or standalone technology, Steve and Brian explore it as a catalyst for deeper systemic change on the scale of the printing press or steam engine. They discuss how AI can decentralize decision-making, improve visibility across organizations, and free people from administrative overload, while also increasing the demand for human judgment, trust, and leadership. The conversation highlights the leadership work required in an AI-infused world: balancing analytical insight with emotional and intuitive intelligence, creating psychological safety during rapid change, and helping people stay anchored when familiar structures no longer hold.

This episode is for leaders who sense that AI is changing everything and know that adaptability, not armor, will determine what comes next.

Dr. Trisha Vinatieri, clinical psychologist and Chief Well-Being Officer, joins Brian Gorman for a grounded conversation on burnout not as an individual resilience problem, but as a leadership responsibility. Burnout is often treated as inevitable or as a workload issue to be solved by “doing less.” This conversation challenges that assumption. Trisha and Brian explore how leaders are uniquely positioned to prevent burnout through how work is designed, how purpose is protected, and how people are seen and heard without reducing the work itself. Drawing from Trisha’s work in healthcare systems and Brian’s leadership advisory practice, the episode reframes burnout as a signal of misalignment rather than personal failure. Together, they unpack what leaders can notice earlier, what conversations matter most, and how small shifts in attention, listening, and job design can restore energy and engagement. Burnout is not prevented by doing less. It is prevented when leaders create the conditions for people to do the right work, with clarity, purpose, and dignity. (27 min.)

In this episode of Qonversations, John DeDakis, former Senior Copy Editor for CNN’s “The Situation Room with Wolf Blitzer," novelist, and writing coach, joins host Brian Gorman to explore grief. While John shares his personal experiences of loss, the conversation widens to a larger truth: grief is universal. Everyone carries it at some point through loss of people, pets, roles, health, or identity. Because of that, grief inevitably enters the workplace. Brian and John explore how unacknowledged grief affects energy, focus, morale, and engagement, and why leaders can no longer afford to treat grief as something that happens outside of work. This episode challenges traditional ideas about productivity and professionalism, making the case that understanding grief is becoming a critical leadership capability in times of constant change. 

In this episode of Qonversations, Mike Toguchi, Chief Strategy Officer at Tektonic, sits down with host Brian Gorman for a grounded conversation about AI as a strategic leadership resource, not simply a technology initiative. They explore a growing, unspoken concern among senior leaders: “We’re using AI, but we may not be using it well.” While AI can dramatically expand access to data and insight, Mike and Brian argue that the real challenges aren’t technical. They’re human: how leaders frame outcomes, communicate intent, govern use, and ensure accountability.

The conversation challenges the idea that AI lives primarily within IT. While IT plays a critical role, the most consequential decisions about AI belong with leadership, because AI increasingly shapes workflows, judgment, and organizational behavior. Mike shares what he’s seeing across organizations as they mature in their use of AI, shifting from tool obsession to outcome focus, and creating space for experimentation with oversight.

This episode is an invitation for leaders to pause, reassess how AI is being used today, and recognize when it’s time to seek perspective beyond their own organization—before early choices harden into long-term constraints.