Boundaryless Conversations Podcast

Can a team have fun under a terrible CEO and archaic policies? Simone Cicero and Bree Groff follow that question from the stand-up to the front line. Why does the experience of work depend so much on the few people around us? Why do impact organizations, doing some of the hardest work there is, need fun more than anyone? Why do functional organizations leave people anonymous? And how do we keep room for enjoyment while AI and job cuts reshape organizations?Key Highlights👉 One joyful small team can thrive under a poor CEO and archaic policies.👉 Enjoyment and performance travel together; the idea that serious work must feel miserable is a convention.👉 Organizations doing the hardest work need fun the most, and where people design their organization, fun comes built in.👉 Functional organizations leave people anonymous, with nobody responsible for them.👉 A company produces two products: goods for its customers, and the opportunity to work, paid for with time.👉 Every HR policy encodes an assumption about employees, and distrust produces a culture of distrust.Topics /chapters(00:00) Making Work Fun and How to Design for It - INTRO(00:48) Introducing Bree Groff(01:37) What makes work good, and work as a product(05:37) Entrepreneurial work, accountability and fun(11:11) Light fun, heavy fun and the grind(21:11) Being fun without the business mask(24:23) Architecting fun: small teams, rituals and policies that assume trust(32:57) Keeping room for enjoyment through AI, layoffs and impact work(41:40) Breadcrumbs and closingAbout Bree GroffWebsite: https://breegroff.comLinkedIn: https://www.linkedin.com/in/bree-groffSubstack: https://breegroff.substack.comBree's book"Today Was Fun: A Book About Work (Seriously)" - Bree GroffBreadcrumbs Bree recommends"Hello Monday" - Jessi Hempel"Experimental History" - Adam Mastroianni"The Decline of Deviance" - Adam MastroianniOther references and mentions"Work for Humans" - Dart Lindsley"Working at a Musk Company: Modularity, Innovation and Cash flow" - Boundaryless Conversations with Joe Justice Remember that you can always find transcripts and key highlights of the episode on our website: https://blss.io/POD148Episode recorded on Oct 08, 26Find out more about the show and the research at Boundaryless at https://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music

What happens to a design team when one tool can prototype the code, the packaging and the campaign? Simone Cicero and Don Norman follow that question from AI to the boardroom. Why does a team that lists what is wrong get ignored, while one that shows the savings gets heard? Why is not being an expert the designer's advantage? And is a post-design age coming, one in which communities design for the problems they live inside?Key Highlights👉 Ideas, plans and designs have no value until someone acts on them.👉 AI is both a generalist and a specialist, and this weakens the boundaries between professions.👉 Many designs fail because programming, manufacturing or marketing had requirements nobody asked about.👉 Proposals get adopted when they show how pollution becomes recovered value and how a product becomes a service.👉 Not being an expert lets a designer ask "why do we do it this way?"👉 AI "hallucination" may share a mechanism with human memory, which reconstructs a story from the gist.Topics /chapters(00:00) AI Frees Designers to Act on the Systems They Care About — INTRO(00:39) Introducing Don Norman(01:33) Introduction: can design still change the systems we live in?(13:05) Managing AI, episodic memory and "hallucination"(19:06) From care to humanity-centered design: designing with people(23:09) A post-design age? Designers, executives and the language of business(29:50) Market and non-market worlds: Copenhagen, the SDGs, top-down and bottom-up(39:19) Cheaper work, robots and caring for our own communities(44:04) An enabling technology, three books and closingAbout Don NormanWebsite: https://jnd.orgLinkedIn: https://www.linkedin.com/in/donnormanBooks Don recommendsDesign for a Better World: Meaningful, Sustainable, Humanity Centered, Don NormanThe Design of Everyday Things, Don NormanSustainable Design from Vision to Action, Jeremy FaludiThe Ellen MacArthur Foundation, on the circular economyOther references and mentionsRemembering: A Study in Experimental and Social Psychology, Frederic Bartlett (1932)2001: A Space Odyssey, Stanley Kubrick (1968)Remember that you can always find transcripts and key highlights of the episode on our website: https://blss.io/POD147Episode recorded on Sept 30, 26Find out more about the show and the research at Boundaryless at https://boundaryless.io/resources/podcastGet in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music

What happens when organisations make their rules of the road explicit - and people gain more room to act because of it?In this episode, Simone Cicero, co-founder of Boundaryless, joins Clay Parker Jones, Head of Org Design & Development at Airbnb, co-founder of the employee-owned consultancy August and author of Hidden Patterns: A Playbook for More Human Workplaces, to explore why structure and agency grow together.They discuss why writing a contract is a political act that redistributes power, and why organisations still resist making their way of working explicit, even as AI makes it more urgent.This episode helps us rethink not just how organisations are structured, but who gets to design them, as organisation design moves into the hands of executives and teams. Together, Simone and Clay also explore how authority and emergence are fractal, moving beyond the familiar opposition between top-down and self-organised models towards organisations where both modes coexist at every scale, from a single team to a company of thousands. They challenge us to think about how clear agreements between parties become the structure within which creativity, agency and impact grow.They also explore the organisational implications of a world where AI pushes companies to make their way of working legible. Drawing on examples from PepsiCo, Pixar's Braintrust, W. L. Gore and Amazon's internal contracting, they discuss why speed, information hoarding and anti-managerialism are false reasons to stay implicit, and why democratising organisation design, so that managers and teams shape it themselves, may prove more valuable than leaving it to specialists.Key Highlights👉 Self-organisation and top-down design are both real and both necessary; treating one as morally cleaner than the other is a flawed choice.👉 Authority and emergence are fractal: every self-organising team has a top-down aspect, and every large organisation self-organises around its norms, rules and culture.👉 Portfolio organisations like PepsiCo act as networks 👉 Creativity loves structure - design systems, purpose statements and clear guidelines act as safety nets that let people try things the rule-setters never imagined.👉 Contracting is political: when people resist explicit contracts, they often read correctly who will be disempowered, and that objection is a signal worth hearing.👉 Organisations resist making their operating model explicit because of speed, the belief that information is power, and anti-managerialism - Clay frames all three as false choices.👉 Organisation design needs to be democratised, so that more people at team and leadership level can shape their organisations, because humans in organisations are, above all, for each other.Topics /chapters(00:00) Creativity Thrives on Explicit Contracts: Why Agency Needs More Structure - INTRO(00:33) Introducing Clay Parker Jones (01:39) From optimism about self-organization to the hidden versions of structure (04:51) Top-down and self-organizing are fractal (07:42) Single-brand and portfolio firms (18:05) From instructables to actors with agency (24:13) From stakeholder capitalism to legible ecosystems (30:32) Enabling constraints and the politics of contracting (44:41) A future without organization designers (48:55 BreadcrumbsRemember that you can always find transcripts and key highlights of the episode on our website: https://www.boundaryless.io/podcast/parker-jones-clayEpisode recorded on Sept 22, 26Find out more about the show and the research at Boundaryless at https://www.boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://www.boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music

What happens when anyone can build software - and the people closest to the work start designing their own tools?Organisational designer and co-founder of Boundaryless, Lisa Gansky joins independent technologist and researcher Fabien Girardin to explore the rise of personal software: AI-enabled tools created by individuals to solve their own problems, reshape their workflows, and challenge long-held assumptions about how organisations adopt technology.Together, they discuss why experimentation and play are becoming essential organisational capabilities and whether the greatest obstacle to organisational transformation is no longer technology, but our inability to imagine systems beyond today's managerial logic.This episode helps us rethink not just how software is built, but how organisations evolve when everyone can become a maker. Tune in.Together, Lisa and Fabien also explore how AI-native software challenges traditional organisational assumptions, moving beyond the familiar "build or buy" dilemma towards enabling employees to create the tools they need themselves.Rather than viewing these emerging practices as shadow IT, they challenge us to think about how personal software reveals the long tail of unmet organisational needs, offering leaders valuable signals about where work, coordination, and existing systems fall short.They also explore the organisational implications of a world where software is increasingly probabilistic rather than deterministic. Drawing on examples from engineering, banking, and community-led experimentation, they discuss why cultivating communities of practice, creating spaces for bottom-up innovation, and "gardening" organisational change may prove more valuable than attempting to centrally manage AI adoption.Key Highlights👉 AI is lowering the barriers to building software, enabling individuals across organisations to create personal software tailored to their own work rather than relying solely on enterprise systems.👉 As AI increasingly generates outputs, human work shifts from execution towards editing, judgment, and shaping shared meaning - making sense-making a core organisational capability.👉 Personal software should not be dismissed as "shadow AI"; it can reveal unmet needs, workflow friction, and opportunities for organisations to rethink how work is coordinated.👉 Play, experimentation, and curiosity are becoming strategic organisational capabilities, creating the conditions for innovation.👉 Rather than asking whether AI is "good enough," organisations should ask what new forms of collaboration and coordination become possible with today's capabilities.👉 The conversation contrasts top-down organisational redesign with bottom-up transformation, suggesting that lasting change may emerge through thousands of local experiments rather than central planning.👉 Successfully adopting AI requires leaders to act less as controllers and more as gardeners - cultivating environments where communities of practice, learning, and unexpected innovations can flourish.Topics /chapters(00:00) What Happens When Everyone Can Build Software? - INTRO(01:36) Introducing Fabien and Lisa(03:28) The Organisational Implications of AI-Native Software(09:50) The Solo AI Paradox(18:39) From Doing the Work to Defining Meaning(41:56) The Revolution Isn't Waiting for Better AI(57:24) Closing ThoughtsRemember that you can always find transcripts and key highlights of the episode on our website:https://www.boundaryless.io/podcast/girardin-GanskyEpisode recorded on Jun 07, 26Find out more about the show and the research at Boundaryless athttps://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here:https://blss.io/Podcast-Music

One of the world's leading voices on long-range strategic thinking, Nikolaus Lang, joins us to unpack what it truly takes to prepare organisations for a world of deep uncertainty.Managing Director and Senior Partner at Boston Consulting Group and Global Leader of the BCG Henderson Institute, Nikolaus is one of the lead authors of Beyond Tomorrow: Four Scenarios for the World of 2050 - a landmark work that combines qualitative scenario thinking with rigorous quantitative modelling across 100 megatrends and 20 KPIs.In this conversation, we explore the four divergent futures BCG has mapped out - from AI Abundance to Battling Blocks, Climate Coalition to Digital Darwinism, and what they mean for how organisations should think, adapt, and act today.We dig into structural resilience, the geopolitics of technology, the return of localisation, and why the smartest move for any company right now is to build for optionality rather than optimise for a single future.Tune in to answer the most important strategic question of our time: what kind of world are we actually preparing for?What if the smartest strategy isn't a single bold bet, but to be able to remain coherent across multiple possible futures? Nikolaus has spent years helping the world's largest organisations ask exactly that question and building the tools to answer it rigorously.Join us as we explore what genuine structural resilience looks like in practice, why the bifurcation of global tech stacks may be the most underappreciated strategic risk of our decade, and how the move from globalisation to localisation is rewriting the rules of competitive advantage.Key Highlights👉 The worst thing any organisation can do is prepare for a single future - the smartest move is to build for a range of plausible scenarios, not optimise for one.👉 AI Abundance, Battling Blocks, Climate Coalition, and Digital Darwinism, each paint a radically different picture of how wealth, technology, climate, and inequality will play out.👉 Scenarios are not predictions.👉 Structural resilience means breaking up concentrated, hyper-optimised production and organisational networks into modular, distributed ones that can absorb shocks without cascading failure.👉 The geopolitics of technology is one of the most underappreciated strategic risks today - the bifurcation between American and Chinese tech stacks is forcing companies to make choices they have been quietly avoiding.👉 Embeddedness in local communities and ecosystems is no longer a CSR take, it is a strategic asset that makes companies more resilient, more trusted, and harder to displace.👉 The future belongs to organisations that build genuine optionality - broader portfolios, modular structures, and the muscle to do long-range planning across macroeconomic, technological, geopolitical, and societal dimensions simultaneously.Topics /chapters(00:00) How to Adapt to The World in 2050: Beyond Tomorrow - INTRO(01:35) Introducing Nikolaus(06:49) The Four Scenarios of the world in 2050(10:26) How did we arrive at the predictions?(14:34) How do the 4 Scenarios co-exist?(23:29) Structural Resilience in an Age of Black Swans(27:12) Organising for More Options(30:15) Localization over Globalization(33:03) Where do incumbents fall?(38:27) Breadcrumbs and SuggestionsRemember that you can always find transcripts and key highlights of the episode on our website:https://www.boundaryless.io/podcast/Lang-NikolausEpisode recorded on May 29, 26Find out more about the show and the research at Boundaryless athttps://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here:https://blss.io/Podcast-Music

Alexey Krivitsky, organisational consultant, agile pioneer, and co-creator of the Org Topologies methodology, joins us to explore why some organisations remain adaptable while others become trapped in layers of local optimisation, dependencies, and internal complexity.Drawing on insights from his new book 10x Organisations, Alexey challenges many of the assumptions behind organisational design practices, from domain ownership and platform teams to Conway’s Law and agile transformations. We look into the difference between optimising for outputs versus outcomes, the risks of creating organisational kingdoms around teams and domains, and why organisational design should remain flexible, contextual, and closely connected to customer value.Alexey argues that many of the organisational challenges companies face today are not the result of poor execution, but of structural choices that have become invisible over time.Drawing on years of experience in agile transformations and organisational consulting, he introduces the Org Topologies approach as a way to make those choices explicit and open to discussion. He explains how seemingly rational decisions can create isolated teams, conflicting priorities, and costly dependencies that slow organisations down. We explore how organisational design should be treated as a series of contextual choices rather than universal best practices, and how AI is increasing the urgency of rethinking the boundaries.Key Highlights👉 Organisational design is contextual - there are no universally “correct” structures, only structures that are fit or unfit for a particular purpose and environment.👉 Organisations should start by understanding the customer problems that exist to solve before redesigning teams, processes, or operating models.👉 Many transformation efforts focus on implementing frameworks, yet struggle to articulate what capabilities or outcomes they are actually trying to achieve.👉 Domain boundaries, software architecture, and team ownership should not automatically mirror one another; these are simply design choices.👉 Creating dedicated teams around platforms, domains, or components can unintentionally generate isolated kingdoms that optimise locally rather than for the whole system.👉 Organisational flexibility is essential because products, architectures, and customer needs continuously evolve; rigid structures often make change more difficult.👉 Collaboration challenges are rarely solved through hierarchy alone - they require thoughtful choices about ownership, coordination, incentives, and shared responsibility.👉 As AI increases the capabilities of individuals and small teams, organisations may benefit from broader boundaries and fewer unnecessary divisions of work.👉 The future of organisational effectiveness lies not in adopting a specific framework, but in continuously questioning assumptions and redesigning structures to match changing realities.Topics(00:00) Organising for Outcomes: Lessons from Org Topologies and 10x Orgs - INTRO(01:30) Introducing Alexey Krivitsky(03:30) Mapping the Unknown: Why Org Topologies Was Born(06:11) Value Proposition in Organisations(17:58) What’s the smallest unit of organizing?(20:09) Mapping Organisational Topologies(31:47) What’s the missing language in collaboration?(53:42) Breadcrumbs and SuggestionsRemember that you can always find transcripts and key highlights of the episode on our website:https://www.boundaryless.io/podcast/Krivitsky-AlexeyEpisode recorded on May 15, 26Find out more about the show and the research at Boundaryless athttps://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here:https://blss.io/Podcast-Music

One of the world’s leading voices challenging command-and-control management, internationally recognised management thinker and founder of the BetaCodex Network, Niels Pflaeging joins us to explore how organisations can organise for complexity through decentralisation, small teams, and value creation at the periphery.Drawing on his earlier work on “org physics”, Niels explains why organisations are shaped by three structures - formal, informal, and value creation structure - and why real work only happens when power is shifted away from hierarchical control and towards autonomous, customer-facing teams.From reputation and mastery to cell-based organisational design, he shares practical examples of how organisations can move beyond bureaucracy and create systems that enable responsibility, accountability, and flow. Niels unpacks the deeper implications of Organisational Physics and why most organisations still struggle to move beyond bureaucracy despite decades of discussion around agility, empowerment, and decentralisation.He explores why many modern management trends still reinforce authoritarian thinking, why time is one of the most misunderstood resources in organisations, and how concepts like Time-Oriented Software Development may offer a more effective alternative to traditional agile coordination models.Key Highlights👉 Organisations are shaped by three competing structures - formal hierarchy, informal relationships, and value creation structure - but only value creation structure explains how real work gets done.👉 Decentralisation is not about delegating authority downward, but about shifting responsibility, decision-making, and accountability directly to autonomous, customer-facing teams.👉 Small, highly collaborative teams - not large functional groups - are the fundamental unit of effective value creation in complex organisations.👉 Reputation, mastery, and peer-recognised expertise are more powerful drivers of coordination and performance than positional authority or hierarchy.👉 Many organisational mechanisms - budgeting, committees, silos, incentives, and excessive management layers - often reinforce distrust and obstruct value creation.👉 The periphery of the organisation, where teams interact directly with customers and markets, must steer the centre rather than being controlled by it.👉 Most organisations already contain hidden value creation structures, but these are frequently buried beneath bureaucratic systems and command-and-control management practices.👉 Time is one of the most misunderstood organisational resources, and effective coordination depends more on flow and time orientation than rigid planning cycles or agile rituals.👉 The future of organising depends on building democratic, decentralised systems capable of adapting to complexity without reverting to authoritarian management models.Topics /chapters(00:00) Understanding Org Physics: The 3 faces of every company - INTRO(01:28) Introducing Niels Pflaeging(03:28) Organisational Physics and its 3 Structures(13:08) Visualizing Value Creation in Organisations(20:34) Structures of an organisation that implements Org Physics(23:15) Do Some Systems Still Need Structured Coordination?(28:11) How has Org Physics shifted?(34:52) How can organisations support the cells?(40:20) How do we democratize thinking and design?(43:40) Breadcrumbs and SuggestionsRemember that you can always find transcripts and key highlights of the episode on our website: https://www.boundaryless.io/podcast/Pflaeging-NielsEpisode recorded on May 12, 26Find out more about the show and the research at Boundaryless at https://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music

What happens when coding is no longer the bottleneck in software development?In this episode, Alberto Brandolini - creator of EventStorming and pioneer in domain-driven design - joins software engineer and Kandddinsky founder Marco Heimeshoff to explore how AI is transforming the practice of building software, and what remains fundamentally human in the process.Together, they reflect on the growing importance of collaborative modelling, domain language, organisational coherence, and feedback loops in a world where software can increasingly be generated through interaction rather than deterministic programming.This episode offers a grounded yet provocative perspective on what it means to be human, in an increasingly agentic world. Tune in.Alberto and Marco also speak about how AI is reshaping their day-to-day development practices - from using Claude Code and Obsidian-based memory systems to designing “harnesses” that constrain and guide increasingly capable agents.The conversation explores the rise of transient software, the limits of “vibe coding,” and why bounded contexts, modular architectures, and shared language become essential when working with probabilistic systems.Together, they offer a practical glimpse into how software engineering is evolving from writing deterministic code toward orchestrating learning, context, and collaboration between humans and AI systems.Episode co-hosted by Eugenio Battaglia.Key Highlights👉 Coding is no longer the primary bottleneck in software development; the real challenge is shaping context, boundaries, and shared understanding for AI systems.👉 Collaborative modelling becomes even more important in an AI-native world, because humans still need to align on purpose, trade-offs, and organisational intent.👉 “Harness engineering” is emerging as a new discipline focused on constraining, guiding, and coordinating AI systems through workflows, memory, tests, and domain context.👉 Large language models can accelerate software production dramatically, but ambiguity in language and organisational misalignment still create major risks.👉 Faster feedback loops may expose organisational incoherence more quickly, forcing companies to confront outdated structures, unclear responsibilities, and low-value work.👉 Human conversations, organisational politics, and qualitative understanding remain irreplaceable because people rarely know — or communicate — exactly what they truly need.👉 The rise of “vibe coding” may increase speed in the short term, but without deep understanding and modular boundaries, systems can quickly become fragile and unmanageable.Topics /chapters(00:00) What happens when Coding Stops Being the Bottleneck - INTRO(01:31) Introducing Alberto Brandolini and Marco Heimeshoff(04:18) The AGI Debate and the Coding Shift: Early Observations from the Frontier(10:25) How do we reimagine modeling?(17:19) The Real Shift in AI Work(28:54) AI - From Modeling to Co-Creation(37:31) From Human Alignment to Agent Alignment(46:54) Mapping, Ontologies, and the Limits of Controlling AI(56:07) What’s Next?Remember that you can always find transcripts and key highlights of the episode on our website: https://www.boundaryless.io/podcast/alberto-marcoEpisode recorded on Apr 20, 26Find out more about the show and the research at Boundaryless at https://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music

Milan Guenther and Annika Klyver, seasoned practitioners working at the intersection of enterprise architecture, enterprise design, and organisational transformation, join this episode to explore how organisations can better describe, design, and ultimately execute how they create value in a complex AI-enabled world.Drawing on more than a decade of experience, they reflect on the evolution from traditional enterprise architecture toward enterprise design, talking about tools like EDGY and the Milky Way map that help organisations create a shared organisational perspective.The discussion also explores how AI and distributed capabilities are reshaping coordination within organisations, why we need new design languages that balance visual collaboration with more formal, machine-readable models, and so much more.As we reflect on how enterprise design can help organisations move beyond static diagrams, we learn how to move from simply describing enterprise scenarios to “pressing play,” simulating, coordinating, and executing complex value flows across complex ecosystems. Tune in.Milan, President of Intersection Group and co-author of Enterprise Design Patterns, and Annika Klyver, Senior Business Architect at TRATON Group, reflect on the importance of capabilities as core building blocks of organisations.They explore ideas such as promise-based coordination, fractal organisational structures, and scenario-based experimentation, highlighting how organisations can balance autonomy and coherence while continuously adapting their value flows.Tune in to learn how to create shared contexts that allow people and organisations to evolve together.Key Highlights👉 Enterprise design expands traditional enterprise architecture by integrating purpose, experience, and capabilities into a shared language that helps organisations understand how they create value.👉 Capabilities act as the core building blocks of organisations, focusing conversations on what an enterprise must be able to do rather than on structures, processes, or systems.👉 Tools like EDGY and the Milky Way map help organisations create shared understanding across business, technology, and organisational perspectives.👉 Moving from static diagrams to “press play” models allows teams to run scenarios and explore how value flows through capabilities before implementing changes.👉 As organisations become more networked and distributed, coordination increasingly happens across teams and organisations rather than within rigid hierarchies.👉 Shared purpose and storytelling help teams make better local decisions without waiting for top-down instructions.👉 AI and new digital tools may enable enterprise models to become machine-readable and executable, allowing both humans and machines to understand organisational structures.👉 Balancing autonomy and alignment is essential in complex organisations: teams need freedom to act, but within a shared understanding of the enterprise’s goals.Topics /chapters(00:00) Playable Enterprises - INTRO(01:10) Introducing Milan and Annika(02:57) What does it mean to build an enterprise in the time of Generative AI(13:38) Small capability centres and how they shape business(20:52) Formalization of the new business language(27:19) Describing Enterprise Scenarios to Executing them(35:46) Promise-Based Coordination in Complex organisations(51:54) Breadcrumbs and SuggestionsRemember that you can always find transcripts and key highlights of the episode on our website: https://www.boundaryless.io/podcast/milan-annikaEpisode recorded on Mar 23, 26Find out more about the show and the research at Boundaryless at https://boundaryless.io/resources/podcastGet in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music

What happens when AI dramatically lowers the cost of coordination inside organisations?In this episode, Andrea Gioia, Partner and CTO at Quantyca and author of Managing Data as a Product, explores how AI and new information architectures may transform the way organisations are designed and managed.Breaking down Jack Dorsey’s recent article on the visions of AI-enabled, modular companies, the conversation looks at why traditional industrial-era organisational models are simply unfit for a complex environment.As AI makes execution increasingly easier, the real bottleneck shifts toward coordination: aligning knowledge, decisions, and actions across increasingly distributed capabilities.Tune in to explore how organisations can navigate this emerging challenge.Andrea, in this episode, looks into how competitive advantage could evolve in an AI-enabled economy. As coordination becomes easier and organisations become more modular, success, he says, will depend less on scale and efficiency, and more on adaptability, experimentation, and the human ability to define purpose.As we explore different world models, can AI play a powerful role in supporting cross-collaboration and translating knowledge across organisations, rather than replacing human judgment? Andrea explores this question and many more in this powerful conversation.Key Highlights👉 Modern organisations were designed for a predictable, industrial-era world, but today’s complex environment requires structures built for continuous adaptation.👉 As AI reduces the cost of execution, the true bottleneck inside organisations shifts toward coordination.👉 Modular organisations enable capabilities to be continuously unbundled and rebundled in response to changing market conditions.👉 Building adaptable organisations is not only a structural challenge but also a coordination and meaning-making challenge.👉 Instead of enforcing rigid standardisation, organisations can rely on AI to map and translate between different contexts.👉 AI agents embedded in workflows may gradually capture tacit knowledge that traditionally remains invisible inside organisations.👉 Before AI can effectively coordinate work, organisations need a minimal shared “world model” that defines identity, purpose, and context.👉 Decision-making may remain largely human in the near term, while coordination increasingly shifts toward AI-supported systems.👉 Scaling in the AI era is less about organisational size and more about the ability to reconfigure capabilities quickly.👉 When organisations become easily reproducible, differentiation must come from creativity and strategic judgment.Topics /chapters(00:00) From Hierarchy to Intelligence: what does it mean? - INTRO(01:35) Introducing Andrea Gioia (03:00) Before the Agents, the Meaning: Why World Models Must Be Built, Not Generated(14:11) Can AI get a free hand in managing organizations?(23:26) Defining a Boundary - What should organizations optimize for?(42:55) Breadcrumbs and SuggestionsRemember that you can always find transcripts and key highlights of the episode on our website: https://www.boundaryless.io/podcast/gioia-andreaEpisode recorded on Apr 03, 26Find out more about the show and the research at Boundaryless at https://boundaryless.io/resources/podcast/Get in touch with Boundaryless:Twitter: https://twitter.com/boundaryless_Website: https://boundaryless.io/contactsLinkedIn: https://www.linkedin.com/company/boundaryless-pdt-3eoMusicMusic from Liosound / Walter Mobilio. Find his portfolio here: https://blss.io/Podcast-Music