『Let's talk Transformation : The business leaders podcast』のカバーアート

Let's talk Transformation : The business leaders podcast

Let's talk Transformation : The business leaders podcast

著者： Suzie Lewis
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"Let's talk Transformation" is a podcast for busy yet curious leaders and executives who want to stay ahead of the curve and relevant in the age of AI. Join strategic yet practical conversations with experienced leaders ready to vulnerably share knowledge & learnings. You will be able to operationalise these insights and immediately apply with your team & peers to drive more inclusive & collaborative environments for sustainable transformation & innovation in the workplace and beyond. Hosted by Suzie Lewis, bilingual & bicultural, holding over 20 years of transformation experience in different sized organisations. Her approach is systemic, working on invisible dynamics to improve the quality & speed of decision making and creating a culture of learning. https://transformforvalue.comCopyright 2026 Suzie Lewis マネジメント マネジメント・リーダーシップ リーダーシップ 経済学
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  • #194 The Achiever's dilemma in the AI era with Nick Petrie

    #194 The Achiever's dilemma in the AI era with Nick Petrie
    2026/10/26
    "They wanted to perform, but they wanted to do it in a healthy way that they could sustain for decades"The modern workplace demands more, faster, and better results every single day, and AI is increasing the speed. Nick and I examine how professionals grapple with overloaded systems that fail to support human flourishing : Relentless workloads, constant change, and blurred boundaries create high levels of stress and burnout.Many organizations treat these pressures as inevitable costs of doing business. Yet, the traditional formula of pushing through no longer serves modern professionals. Sustainable performance requires a new approach to daily work habits.Organizations often define resilience as pushing through exhaustion regardless of the personal cost. Companies reward workers who say yes to every request and maintain zero boundaries. While this strategy works early in a career, it fails to scale over decades. High performers eventually hit a wall where constant grinding leads to physical and mental exhaustion. Evolving the professional approach becomes necessary as job demands and responsibilities increase. Sustainable success requires balancing high output with long-term health and well-being.Studying high performers reveals a tiny group of individuals who combine high output with very low burnout risk and Nick researched their habits, mindsets and perspectives to ascertain how they did this.Thrivers possess a high degree of reflectiveness and self-awareness regarding their working habits. When Nick reached out to these busy executives for research interviews, they responded promptly and made time to talk. They recognize early in their careers that relentless grinding leads to diminishing returns. Instead of reacting to every demand, they design structured rhythms into their daily routines. Their ability to step back and evaluate their operating systems protects them from the heavy toll of chronic stress. We look more closely at :The Power of Pulsing and Daily Rhythms - Nature operates on steady rhythms like breathing, heartbeats, and changing seasons. Human workers often abandon these natural rhythms by locking into a single mode of high intensity for hours. thrivers incorporate pulsing into their daily schedules.Crossing the Karman Line: Transitioning Home : Space shuttles encounter extreme thermal and kinetic pressure during atmospheric reentry. NASA engineers use precise maneuvers to slow the spacecraft down before it crosses the Karman line. Without this deceleration, the shuttle experiences uncontrolled reentry and structural failure. Human workers often behave like the unmitigated spacecraft. They maintain high operational speed throughout the workday, take business calls during the commute, and burst through home doors while still mentally at the office.Shifting From Doer to Grower : Many professionals define their personal worth entirely through individual task execution. Earning recognition and status by doing everything oneself creates a dangerous dependency loop. Plant managers and corporate leaders often find themselves answering emergency calls at three in the morning. This reliance on personal heroics acts as a severe handbrake on long-term professional growth.Navigating the AI Era Without Burning Out : Artificial intelligence promises massive productivity gains for modern organizations. However, the introduction of AI agents often accelerates the workplace treadmill instead of creating breathing room. Professionals face constant context switching as they manage multiple automated workflows simultaneously. Without careful boundaries, AI fills every available gap in the daily schedule.Designing Conditions for Deep Work : Uninterrupted focus remains scarce in organizations dominated by back-to-back meetings and constant notifications. Deep work requires sixty to ninety minutes of intense concentration on complex, high-value tasks. Most professionals crave this focused environment yet struggle to find the necessary time.Burnout rarely stems from a single isolated trigger. It accumulates through heavy workloads, internalized pressure to endure, and minds that refuse to disconnect. The AI era threatens to amplify these exhaustion cycles unless professionals exercise intentional agency. Adopting sustainable habits requires stepping away from the daily dance floor and viewing the system from the balcony. Professionals must evaluate whether their daily routines involve healthy pulsing or destructive grinding.The main insights you'll get from this episode are :Thrivers’ take time (out of their busy schedules) to think, reflect and talk.Long-term performance and success require rest and a more holistic approach.Thriving needs a scalable strategy that evolves with different situations/roles.Intentional ‘pulsing’ – as opposed to the daily grind – is reminiscent of the rhythms of nature. A daily ‘calming line’ is also helpful as a tool to dissipate energy, control re-entry, and ...
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    49 分
  • #193 Scale AI Adoption Safely and sustainably with Denis O'shea

    #193 Scale AI Adoption Safely and sustainably with Denis O'shea
    2026/10/19
    Getting your information architecture for AI right is 10 times more important than onboarding the newest, shiniest AI model.Denis and I look at how to bridge the tech and generational gap that is only getting wider as AI scales at incredible speed. We look at the tech gap, the human gap, AI agent governance, and strategies for successful workplace transformation.Back in 2003, people were carrying advanced phones and using them only for basic calls and texts. Today, the exact same gap appears with artificial intelligence. Technology arrives finished and packaged, while people adopt it slowly or not at all. The distance between these two realities determines whether workplace transformation succeeds or fails.Workforce cohorts approach artificial intelligence differently. Younger workers, particularly Gen Z, experiment freely, build agents, and push boundaries and when they encounter friction in the systems they will work around them quite easily.. Older generations tend to stick to basic tasks and follow strict rules. This generational divide creates both friction and opportunity within modern organizations.Organizations often rush into software rollouts without proper preparation. We discuss five essential foundations that companies must establish before scaling their artificial intelligence initiatives. Skipping these foundational steps leads to runaway costs, security breaches, and zero measurable return on investment.Document use cases and workflowssecure and classify dataProvide role specific trainingBuild Agent infrastructure and governanceEstablish financial tracking and ROI measuresThe information architecture acts as a pyramid. At the base sits all unstructured organizational data, including emails, messages, and documents. At the apex sits a control plane that defines security policies, user identities, and data classification labels. Software models sit in the middle, inheriting security controls from the top while reasoning over data at the bottom.Getting this architecture right is far more important than collecting various trendy tools.Technology implementation ultimately comes down to human behaviour, and transformation requires humility from all generations. Older workers possess deep institutional knowledge, strategic context, and governance experience. Younger workers bring natural fluency with modern software and automation techniques. Bridging the tech gap requires genuine collaboration between these groups.Organizations must foster environments where experienced staff listen to digital natives, and digital natives respect structural guardrails. By combining institutional context with modern technical agility, businesses can build a sustainable hybrid workforce. The transformation window is short, and intentional design remains the only path to lasting success.The main insights you'll get from this episode are :2003: investment and advancement in tech racing ahead of the consumer in terms of adoption and use.2026: same happening with AI – younger generations need to lead the older ones in the AI era, which is a first and requires humility.Gen Z will upend data security using shadow AI to find ways around constraints; Gen X are very compliant because they understand the dangers.Gen Z are the first generation in the workforce with no recollection of 9/11 therefore they have a different mindset re security and privacy (social media).Happy path is to have tools for Gen Z to work productively in our organisations, remove friction and provide onboarding assistance.Gen Alpha/Gen A(I) only know work and study with AI; organisations need a combination of institutional knowledge and innovative thinkers.AI agents now with autonomy, capable of morphing, creating other agents, rogue behaviour, behaving like humans (e.g. collaboration, hierarchy, communication).Current designs lack guard rails, governance, and data readiness.AI spend is problematic with charges for tokens and access via APIs; measuring ROI on AI means understanding ‘a day in the life of’ roles to tailor it accordingly.Use case analysis with priorities -> secure data -> training (generic best-practice and role-specific) -> permissions for agents -> ROI calculator for use of tools.Some issues likely to still be problematic in three years’ time, e.g. data security, governance, rogue agents, risk, and spend.Governments are disinclined to regulate AI, giving organisations a brief window in which to create guard rails and governance before it happens anyway.Leaders tend to be infatuated with the latest model instead of questioning the right IA (information architecture) for AI.Dirty data at the bottom of the pyramid, control plane at the top, models in the middle.No safe, sustainable long-term solution will arise from a multi-vendor tech stack.Find out more about Denis and his work here :https://www.linkedin.com/in/denisosheamobilementor/https://www.mobile-mentor.com/https://www.denisoshea.com/For more information on this episode ...
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    43 分
  • #192 Building Operating Systems for High Performance with Dre Baldwin

    #192 Building Operating Systems for High Performance with Dre Baldwin
    2026/10/12
    Dre and I discuss how turning potential into measurable results begins by defining the final objective and working backward. We explore how strategy must be deconstructed from the desired outcome to build reliable roadmaps and operational systems. Leaders must establish clear standards of execution and ensure that any deviations are identified and corrected promptly to maintain accountability.Courage, Confidence, and InterferenceDre distinguishes between confidence, which feels positive, and courage, which requires stepping forward despite discomfort. To overcome pre-performance anxiety, we highlight the concept of "borrowed confidence", allowing individuals to adopt the posture and energy of role models. Confidence si not an addition of traits, but more about the removal of mental interference such as self-doubt and overthinking. This reduction of internal noise allows natural competence to emerge during critical moments in sports, business, and leadership.Presence and Nervous System 'training'Presence is not merely performed; it is trained directly into the human nervous system. Nonverbal communication accounts for the vast majority of human interaction. Tone, body language, and underlying energy convey more than spoken words ever could. It must be actively trained into the nervous system through intentional daily habits and posture adjustments. This physical and mental preparation lowers the barrier for courage and projects a signal of confidence that inspires trust and followership among teams.Discipline and Managing Execution DriftMany people struggle with consistency, wrongly believing that discipline is an innate personality trait. Discipline is simply a structural signal minus interference for Dre. When an individual implements a solid structure and removes distractions, disciplined behavior naturally follows. Every transformation program and personal journey eventually hits 'the third day'. - when the initial excitement fades, nobody is watching closely, and the work simply needs to get done . When systems lack discipline, leaders must enforce standards to prevent execution drift caused by human entropy. High performers in chaotic environments often create tension if organisational standards do not match their level of execution. Maintaining motivation requires aligning priorities and establishing feedback loops that catch operational drag before it impacts bottom-line results.Rest, Overwhelm, and Sustainable SuccessWe address the critical role of restorative rest in high performance, pushing back against today's hustle culture and the myth of strong leaders can do it all. Dre shares athletic insights regarding physical recovery, noting that the human body requires rest to sustain output over time. Overwhelm is for Dre, a misalignment of priorities and advises focusing on single tasks sequentially rather than multitasking. Ultimately, sustainable success comes from refining execution and focusing energy on high-value results rather than simply increasing working hours.Achieving excellence requires more than raw talent. It demands intentional structure, rigorous execution, confidence, and the courage to hold oneself and others accountable.The main insights you'll get from this episode are :Turning top performance into measurable results starts with the result then working backwards to achieve it.Business is a long game – a leader’s role is to establish execution and performance standards, enforce them, and rectify deviations.Courage before confidence: confidence feels good, courage often does not (a willingness to try despite an uncertain outcome).Confidence = competence minus interference (of self-doubt, anxiety, etc.) and gives off positive energy.Borrowed confidence is ‘borrowing’ energy from someone else: confidence is generally seen as an add-on, but it is a matter of eliminating interference.Hallmark of a professional is prior preparation - ask the right questions, prepare for what is going to come, fail initially but ready next time (battle testing).Training ‘power presence’ into the nervous system for higher performance – known as ‘command presence’ in military terms.Most communication is non-verbal; training involves body language, eye contact, etc. to give more presence, more confidence, and more courage.Energy is contagious and does not lie; energy management is about discipline and motivation.Signal for discipline is structure (then execution): in an undisciplined system, the stronger energy (e.g. of a disciplined person) prevails, or vice versa.Execution drift is a natural occurrence with humans (entropy) but is preventable by monitoring the execution of critical points in a process.Restorative rest in the business world is diametrically opposed to hustle culture, but humans biologically require rest (physical and mental).AI on top of hustle culture = overwhelm = misalignment of priorities; multitasking is actually task switching, which is inefficient use of the ...
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    41 分
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