Let's talk Transformation : The business leaders podcast

Suzie Lewis
  • 5.0 (1)
  • Management
  • Semimonthly

"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.com

  1. 1d ago

    Who Leads, Us or the Machine? STEM Identity in AI with Dr Jennifer Berry

    Who is leading, us or the machine ? Jennifer and I explore why durable skills, hands-on learning, and cross-generational dialogue matter as AI reshapes how we think, work, and lead. We look at case studies where leaders are willing to let AI decide budget, strategy and genuinely anything else that makes their job easier. Nobody had checked the numbers. Nobody had weighed the trade-offs. A piece of human judgment had quietly moved into a software tool, and often leaders don't notice until someone asks the right question. That moment captures the central tension of our time. AI offers speed, scale, and polish. But speed and polish can crowd out the slower work of thinking, questioning, and owning a decision. Skills matter, but identity matters first. Jennifer describes STEM identity as three beliefs: “I belong here. I add value. I can master rigorous challenges.” Those three beliefs shape how people respond to difficult problems. A young person who believes she/he belongs will raise a hand. A professional who believes his/her ideas add value will speak up in a meeting. Without those beliefs, even talented people stay silent. Many current leaders built these beliefs the hard way. They failed, tried again, and earned their seats through persistence. The concern now is what happens when AI takes over the tasks that once built that confidence. Convenience can weaken the very skills it promises to support. SmartLab responds to this risk with a deliberate design choice. Students do not begin with AI. They begin with a problem, a set of materials, and a team. They build something, and it often fails. Students then have to diagnose the problem, talk with teammates, and try again. Those moments build resilience, communication, and critical thinking in ways that a screen cannot replicate. These are what Jennifer calls durable skills. Unlike tactical skills, which change with each new tool, durable skills last. They include communication, systems thinking, computational thinking, collaboration, and the ability to recover from failure. SmartLab measures these skills with a rubric that facilitators complete after each project. The aim is not to reward a correct answer. The aim is to show measurable growth in how a student thinks and works with others. Today’s workplace may include five generations at once. Each one brings different relationships with technology. These differences can become strengths. When generations talk openly about how and when to use AI, each one sharpens the others. Younger workers question shortcuts. Older workers remember the value of struggle, and together, they can build norms for responsible use. Human connection also needs deliberate attention. Many people, especially younger ones, now turn to AI before they turn to a colleague. They avoid looking foolish. They avoid the risk of being wrong in front of others. Organizations cannot afford to wait for schools to produce ready-made talent. Companies that depend on innovation need employees who think critically, collaborate well, and adapt quickly. Those skills take years to develop. Businesses need to act now in three ways. First, they can invest in schools by sending employees to mentor students or sponsoring a SmartLab in a classroom. Second, they can build internal training around durable skills. Third, they can use those same skills as criteria when hiring. Return to the question that started this conversation. Who is leading, us or the machine? The answer depends on choices made every day. Leaders can ask for raw thinking before polished output. Parents can protect time for play. Businesses can invest in young people before they walk through the door. Schools can teach students to build, fail, and try again. AI will keep getting faster. Human judgment, curiosity, and courage will decide how we use it. Those qualities are not automatic. They must be built, practiced, and protected. If you lead a team, a family, or a classroom, start small. Ask one person for their own answer before the screen provides one. Notice what emerges. That moment of effort may be the most valuable thing you do all day. The main insights you'll get from this episode are : STEM identity for children: I belong, I add value, I can master rigorous challenges. Durable skills for the AI age = strong communication, deep distance thinking, computational thinking, critical thinking, flexibility, mastering failure.Soft skills are required to lead in an AI-powered world, but the CEOs of the future born into the digital age have fewer social/human skills.Personal opinion matters even more in an AI environment – the maxim must be ‘think first, then use AI’ because faster doesn’t always mean better.Hands-on, project-based learning is more critical than ever but needs to be ‘manufactured’ these days for children.Generational problem-solving differences are magnified by the speed of AI; gen Alpha will hopefully challenge AI, trust it less, and be more cautious.SmartLab has ways of working, ways of thinking, and ways of being for children but how do these translate to the workplace?Investment by organisations in the workforce of the future is a business problem and essential in such a fast-moving world.The education system does not provide young people with the unique skills they are going to need - durable skills as opposed to AI-oriented tactical skills. The ‘lab’ approach brings a customised environment into a school in which children can learn durable skills as part of the curriculum to deepen learning.Schools currently test for knowledge, whereas the SmartLab rubric tests for skills development, e.g. competent, confident.Play is very important for children to liberate them from screens, experience boredom, and (learn to) be creative, imaginative, and collaborative. Find out more about Jennifer and her work here : https://www.linkedin.com/in/dr-jennifer-berry-9a05113/ https://www.smartlablearning.com/ For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    Who Leads, Us or the Machine? STEM Identity in AI with Dr Jennifer Berry

  2. Oct 26

    The Achiever's dilemma in the AI era with Nick Petrie

    "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 ensure a safe landing (cf. space shuttle transition to earth’s orbit).If leaders can become ‘growers’ (of other people) rather than ‘doers’, this frees them up; it is a slow process but a great investment over time. AI can fill all the time you have at work and at home, not allowing for pulsing or calming lines - thrivers build back in chosen constraints.Three groups of emerging of AI users: avoiders (fear, environmental reasons), dependant users (cognitive erosion); and power users (deliberate adopters).Power users thrive in the AI world because they engage in deep work, i.e. uninterrupted, cognitively straining, high-value work.Deep work requires peak cognitive alertness; a suitable place to do it; and clear priorities/tasks.AI will see a leader’s role move from controller to orchestrator, with deep work more important in the AI workplace.An orchestra without a conductor is messy, noisy, and conflicted and the human role is moving up the value chain, e.g. decision- and sense-making, judgement.Subtraction rather than addition to workload is intentional design to create space (collectively and individually) for behavioural change.AI deployment has increased productivity but also expectations of productivity = life is faster. Thoughtful design requires thoughtful leaders who look at redesigning the system, not bolting AI on to existing scenarios. Find out more about Nick and his work here https://nicholaspetrie.com/ https://www.linkedin.com/in/nick-petrie-1b60156/ https://www.amazon.com/Burn-Bright-Sustain-Performance-Always/dp/0008770700 For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    The Achiever's dilemma in the AI era with Nick Petrie

  3. Oct 19

    Scale AI Adoption Safely and sustainably with Denis O'shea

    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 measures The 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 please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    Scale AI Adoption Safely and sustainably with Denis O'shea

  4. Oct 12

    Building Operating Systems for High Performance with Dre Baldwin

    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 Interference Dre 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 Drift Many 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 Success We 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 brain.Performance is designed to produce results, which are rewarded – leaders must define what success means to guide high performers.Execution is the bridge that turns potential/ideas into results. Find out more aout Dre and his work here: https://workonmygame.com/workonmygame-com-home https://www.instagram.com/drebaldwin/ https://www.tiktok.com/@workonyourgame https://www.linkedin.com/in/dreallday/?isSelfProfile=false https://www.drebaldwin.com/dre-baldwin-keynote-speaker--26974 For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    Building Operating Systems for High Performance with Dre Baldwin

  5. Oct 5

    Building & scaling People infrastructure with AI with Charlie Winton

    Most companies collect endless wellbeing data, yet employee burnout continues to rise across sectors. Organisations track mood scores, engagement trends, and anonymous check-ins in real time. Yet, a fundamental question remains. Are we truly moving the needle, or has the needle simply moved? Charlie and I discuss why the real challenge isn’t gathering dat, but rather having the courage to act on what the data shows. Data acts as a neutral mirror. It displays reality, but leaders must supply the courage to act on what they see. When employees realize their feedback leads to tangible improvements, trust grows and engagement snowballs. We discuss building customised people infrastructure using AI. Trust forms the foundation of any people infrastructure. Without trust, data collection turns into surveillance. strict boundaries regarding personal identification need to be implemented as people need to know their identities are protected when they share feedback. If employees feel safe using their voices, participation increases organically. Technology should act as a supportive vehicle rather than a one-size-fits-all solution for human challenges. Tech can help organisations fulfil their responsibility to look after their people but requires safeguarding for privacy/identification if people are to speak up. Customisation to fit the unique needs of different organisational sectors, Control and ownership over internal platforms rather than off-the-shelf solutions and safeguarding standards that protect user privacy and data validity are the core pillars of effective technology. Building a people infrastructure is based on the hierarchy of human needs with tech as a vehicle to share useful experiences and knowledge. Mental health touches every aspect of a person’s life, from family relationships to financial stress. Therefore, organisations need structured systems to support their people at scale and use conversational layers to reduce friction and connect teams in hybrid work environments Artificial intelligence accelerates at a rapid pace. Many individuals turn to large language models for quick answers or even as conversational companions for mental health support. We must resist the temptation to use AI as a shortcut for genuine human connection. Coaching, team cohesion and mentorship rely on insights rather than automated solutions. Tools should encourage real-world conversations and human agency. If technology demands endless engagement and keeps users trapped in digital loops, it fails its primary purpose. Leaders must remember that technology only provides visibility and insights. The actual courage to make changes and fix systemic flaws must come from the top.Without follow-up action, survey metrics become meaningless numbers on a dashboard. What is the biggest barrier to acting on employee feedback in your experience? The main insights you'll get from this episode are : People are not machines and do not thrive in the ‘compare and compete’ organisational culture.Real-life feedback requires self-awareness - AI holds up a neutral mirror, but human reaction to the data is not neutral (denial vs. focus).Making (visible) changes as a leader can inspire and empower employees, whereas there is no incentive if nothing ever changes.A mental health and people tool that gives people a protective voice and helps organisations find out how their people are feeling.Mental health support should be free to access and based on individual needs to provide robust support.Tech helps organisations fulfil their responsibility to look after their people but requires safeguarding for privacy/identification if people are to speak up.Building a people infrastructure is based on the hierarchy of human needs with tech as a vehicle to share useful experiences and knowledge.A single bespoke internal system/platform for an organisation helps coherence, streamlines processes, and deepens understanding of communities.The tech should be created around the motivation and always be based on customisation, control and safeguarding (as well as flexibility).Human connection and input must remain; we need insights not solutions (cf. AI) that come from a ‘build, measure, learn’ approach.Entrepreneurs must understand the root cause of themselves and their business and have belief in what they are doing.Leaders should strive to embrace different views from anyone and everyone to empathise, understand, learn, pivot, share, and converse. Find out more about Charlie and his work here : https://www.linkedin.com/in/charlie-winton-53a01290/ https://www.okpositive.org/ For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    Building & scaling People infrastructure with AI with Charlie Winton

  6. Sep 28

    The Cognitive leader : build AI ready teams with Ricardo Arcia

    "If you give AI tools to 50 engineers without a standardised framework, you don’t get 50x productivity. You get 50 different ways of working." Ricardo and I explore the intersection of AI integration and human leadership. Modern leadership demands more than just technical oversight. As organizations rush to integrate artificial intelligence, the biggest hurdle is not the software itself, but the human element within the system. How can we operationalize AI without sacrificing the intelligence and culture that make an organization thrive. Instead of treating AI as a separate project, leaders must embed it into their daily operations. By viewing the process as an endurance challenge—using the mindset, discipline and tenacity similar to endurance running—leaders can create sustainable change. This approach allows teams to experiment, learn, and iterate while maintaining a healthy, high-performing environment. Transformation fatigue happens when organizations lose the ability to evolve due to constant, unaligned change, and when this happens companies often drift to the status quo. To avoid this, Ricardo Arcia suggests that leaders must be deliberate about timing. Not every moment is the right time to push for a total shift of the whole system- small and intentional is the way forward. True transformation requires a framework. Leaders must provide the language, the training, and the environment that allow teams to use these tools in a way that aligns with the overall organizational goals before scaling. one highly effective strategy for scaling AI is the creation of a “Team Zero.” This is an actual, operational team tasked with converting theory into practice. Instead of forcing an entire organization to adopt new tools simultaneously—which often creates chaos—a leader can task one team with finding the most effective ways to use AI in their daily sprints. We must move away from measuring simple outputs, such as lines of code, and move to tracking outcomes and the actual impact on the business. This shift in measurement ensures that the organization remains aligned with ROI goals. If you cannot show the value of your investment, the resources needed for future innovation will disappear. Leading AI transformation (particularly from the inside) is a test of clarity, discipline, and systemic thinking. Leaders who succeed are those who treat their organizations like a living system, prioritizing human intelligence alongside technological advancements. By implementing frameworks, fostering a culture of experimentation, and measuring true impact, leaders can navigate the uncertainty of AI and build a more resilient organization for the future. The main insights you'll get from this episode are : Health, family, work, and hobbies as priorities and a framework to compound incremental gains over time and hone discipline.Carve out time for body and mind daily – not if, but when; involves planning and dedication.Rest and rehabilitation are also important as part of the cycle of execute, measure, and evolve over time – not favoured in corporate environments.Once maturity is achieved within an organisation, it is probably time to reiterate with another transformation in such a fast-moving world. To increase team productivity using the new tools on the market requires transformation to be scaled correctly (i.e. incrementally not wholesale), a holistic system overview, and correct measurement of outcomes.Engineers have a choice to either embrace AI or be replaced; C-suite level must deal with the uncertainty and embrace the new normal.Inconsistent results demand training in a common language around AI and levelling up the way of working for junior and senior employees.Foundational blocks of transformation = training + framework -> iteration in 90-day loops + intentional coaching.In AI, acceleration does not always result in significant gains due to a siloed approach, bottlenecks, and an inability to prove/measure ROI.Orchestration and systems thinking for fluency are required when inserting AI into organisations as it changes the culture. A vision is required for people to feel at ease and get on board; ‘team zero’ is a real team of believers who convert theory into practice as a playbook for others.The cognitive leader’s role is to intentionally create the environment for transformation and orchestrate scaling.The AI adoption path must be structured and shared – a list of tasks based on an initial assessment can change along the way, e.g. strategic, operational, etc.Senior leaders need to focus on the impact of AI/transformation on the organisation, demonstrate humanity, and have the vision, not the solution. Find out more about Ricardo and his book here https://ricardoarcia.com/book https://www.linkedin.com/in/ricardoarcia/ For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    The Cognitive leader : build AI ready teams with Ricardo Arcia

  7. Sep 21

    Authentic Leadership: Embracing Intuition in an AI-Driven world with Elizabeth Rosenberg

    "unhinged authenticity is the reality in 2026 of being human" Elizabeth and I discuss how to maintain genuine human intuition and authentic leadership in an AI-driven world. The modern workplace feels different. It is fast, clear, and increasingly competent thanks to the rise of large language models. While these tools offer undeniable efficiency for cognitive tasks, they carry a hidden cost. They pull our professional output toward a gray middle ground - a 'sea of sameness'. We are beginning to mimic the tools we use, losing the jagged, vulnerable edges that make human communication compelling. To stay relevant, leaders must distinguish between helpful automation and the erosion of their own voice. Elizabeth challenges the idea that intuition is just a “gift.” Instead, she treats it as a skill—one that we can train just like any other. Even in high-pressure, left-brained office environments, your body often knows the answer before your brain does. The key is giving yourself permission to listen to that physical signal instead of immediately outsourcing your judgment to an algorithm. In a world where AI provides data-driven answers at system-one speed, intuition acts as our system-two counterweight. It requires intentional practice. Many people were trained to silence their internal narratives early in their careers, but the next generation is arriving with those instincts intact. We are training ourselves out of it. We prioritize “system one” speed over the deep, reflective “system two” thinking required for innovation. If you outsource every cognitive task to a prompt, you eventually lose the ability to trust your own judgment. How do you keep your own voice when the algorithm pushes for perfection? For leaders, the challenge is to turn their own intuition back on to meet this reality and cultivate what keeps them human in the AI world. The insights you'll get from this episode are : In a ‘sea of sameness’, ‘unhinged’ authenticity is the reality of being human in 2026, showing relatability and vulnerability.Personal brands will appear in the corporate world, e.g. people with social media side brands.Personal branding policies require guardrails and must align to the larger narrative of the employer.Authenticity will build social capital in an AI world – people want interesting content, i.e. personal stories, anecdotes, learnings, career paths.Intuition is doing what we enjoy and what comes naturally – it is a skill that needs to be trained as opposed to quietened.AI regulation is very important during education to ensure critical thinking and reading ability.Human thinking is still required for the human need to have purpose, impact and connection when surrounded by machines.Sceptical executives should sharpen their intuitive skills as a unique offering (for clients).Spiritual health or a creative outlet allows us to disconnect from work and connect with ourselves, a higher power, energy, community, etc.Leaders must demonstrate what they want for their teams, e.g. no-phone/-computer meetings to encourage thinking, communication and creativity.Humans are innately biased, therefore LLMs are systemically biased, yet we give inordinate trust to AI output (and influencers!).Big changes are not sustainable so systemic change must start small, e.g. not being available all the time for everyone (at work and at home).Many people have a spiritual health practice, and highlighting this helps others to follow suit by granting permission to do so.Resting is still productive time (restorative rest) and hopefully there will be more regenerative models in the corporate world.Leaders should listen to their people – if aligned with their values they will perform better – and have grace during these overwhelming times. Find out more about Elizabeth and her work here https://www.linkedin.com/in/elizabethrosenberg/ https://www.thegoodadvicecompany.com/ https://www.chiefspiritualofficer.com/. For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    Authentic Leadership: Embracing Intuition in an AI-Driven world with Elizabeth Rosenberg

  8. Sep 14

    Excellent Brain - the power of attention with Ofer Lidsky

    For over a century, organisations have relied on a rigid, factory-inspired model of how we think. We assume that every worker operates on a standard cognitive rhythm, thriving under the same conditions of open-plan offices, back-to-back meetings, and eight-hour shifts. These organizational habits were born of convenience, not science. We are currently designing our entire professional lives around assumptions that lack any grounding in neuroscience. The reality is that the brain is the most complex system known to humanity, holding roughly 86 billion neurons and trillions of neural connections. While leaders and managers continue to force employees into uniform boxes, the rapid rise of Artificial Intelligence is quietly shifting the cognitive landscape. We are operating in a gap where the decision-makers behind our work structures often possess little understanding of the cognitive biology they govern. Ofer, as a technologist who has spent a decade applying neurofeedback to the human mind, recognises that treating the brain like a computer is a fundamental error. If we want people to flourish rather than just perform, we must move away from the obsession with standardisation and start respecting the individual architecture of the human mind and the fact that this can look different in different people. We are currently also seeing a decline in global attention spans. The average human attention window online is now just 2.8 seconds. When you land on a page, you have less time to capture a user’s attention than a goldfish. Ofer developed neurofeedback technology to bridge the gap between clinical needs and personal development. By using EEG sensors to track brain wave activity, individuals can receive real-time, visual, and auditory feedback on their focus levels. In practice, this looks like a game where the user serves as the pilot of a digital vehicle, controlling its movement through focus alone. When the user becomes distracted, the feedback loop prompts them to return to a state of engagement. This process steps outside the traditional box of corporate and educational uniformity. By treating attention as a skill to be trained rather than a fixed personality trait, we move toward a model of individual development. This is particularly relevant for those diagnosed with ADHD, as it offers a way to strengthen prefrontal cortex activity—the area often associated with sustained focus. The effectiveness of this method stems from its millisecond-long feedback loop, which is far more potent than the annual performance reviews we rely on in traditional management. By providing a way to measure and improve cognitive state, this technology empowers users to take ownership of their own mental performance. It demonstrates that we are not locked into our current cognitive limitations. With the right tools, we can train our attention mechanisms to handle the complexities of a distracted, high-tech world, ultimately fostering a higher degree of agency and self-mastery in our work lives. As AI integrates further into our workflows, the value of the human “edge”—our ability to think critically, connect dots, and navigate ambiguity—will only increase. Leaders should be wary of over-automating processes that require human nuance. The goal should be to use machines to handle the rote tasks so humans can flourish in roles that require empathy, creativity, and high-level judgment. The strategy for the future isn’t more software or faster tools, it’s about building “flexible structures” that accommodate different thinking styles. We must hold our management theories with humility and pivot from a culture of constant, fragmented attention to one that values deliberate, focused, and human-centric interaction. Whether through neurofeedback, better meeting design, or simply setting our phones aside to listen to one another, small changes can yield significant cognitive benefits. The path toward organisational health requires us to accept that our differences are not problems to be solved, but assets to be utilized. As we look ahead, let us commit to building environments that nourish the brain rather than exhausting it. Are your current team rituals helping your people think, or are they just keeping them busy? It’s time to move from managing output to supporting human flourishing. The main insights you'll get from this episode are : The human brain is the most complex system known in the universe - we don’t know how a neuron works and neither do we understand consciousness.It functions in a totally different way from a silicon-based computer; no computer can truly understand, only process large-scale mathematics/data.Unlike AI, the human brain has taken millennia to evolve and only consumes 20W of energy – this evolution produces an optimised system.Is AI conscious? No computer is conscious, and intelligence requires understanding, which we also do not fully comprehend.We can learn more easily than we can unlearn: learning is repetition to create new neural pathways.The brain-computer interface based on electromagnetic brainwave frequencies produces neurofeedback, i.e. feedback in real time to teach something new.Brain training for the third age is aimed at retaining cognitive performance.Companies are built by people and thrive on the connections between them therefore it is advisable to adapt rules to different people/brains.AI produces amazing results in certain (scientific) fields but has a very negative impact on the population at large who have no need to think or learn.Education systems are not evolving and still based on the ‘banking’ system whereby the teacher deposits information into students’ mind.Project-based learning is proven to be more effective - it introduces the element of experience and is interesting.The human hippocampus is shrinking, which is a very scary prospect for the future and those who will be the leaders.The western world is organised around efficiency, which does not equate to human flourishing.Making neurofeedback accessible, affordable, and feasible is a gamechanger to help people increase their attention.Attention is a competitive advantage these days and hijacking it is very destructive, with fragmented attention often described as ‘busy’.Preventive measures include paying attention to our lack of attention, practicing more and managing our time correctly - the brain is not a multitasker by design. Find out more about Ofer and his work here : https://excellent-brain.com/ https://www.linkedin.com/in/oferlidsky/ For more information on this episode please visit www.transformforvalue.com/podcast To carry on developing your leadership and building a relevant & high performing team, connect with me here : https://calendly.com/transformforvalue/connect

    Excellent Brain - the power of attention with Ofer Lidsky
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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.com

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