The Only Constant

• Episode #72 | Jason Stanley | On autonomy for machines, and the diffusion of surfaces

  In this episode of The Only Constant, Lasse Rindom speaks with Jason Stanley from ServiceNow - AI expert, sociologist, and someone who actually reads the footnotes. Together, they unravel the real frontiers of AI in enterprise - not in the labs, but in the messy middle where governance, workflows, and risk collide.   Topics covered include: Why large-scale organisations need more than just great models - they need infrastructure How agents force a rethink of steerability, auditability, and control in AI systems The exploding attack surface of GenAI and why prompt injection should be on everyone's mind What “neuro-symbolic” means and why it matters Whether augmentation is just displacement in disguise - and what history tells us about it A discussion into the deep. Into workflows. Into sociology. Into the uncomfortable. Exploring, as usual.   Do you want to know more about Jason Stanley? Jason Stanley is Head of AI Research Deployment at ServiceNow, leading a team de-risking and finding product value in AI research. Previously he led the company's applied research team working on AI trust and governance.    In the past, he has led research and product teams in technology companies, was an invited expert on AI issues for OECD, served on the Partnership on AI's Expert Group on Human-AI Collaboration and worked on labor market policy for the Government of Canada.    He holds a Ph.D. in Sociology from New York University and social science degrees from Oxford University and Williams College. 

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• Episode #71 | Michael Carroll | On the nature of agency, and the value of discomfort

  In this episode of The Only Constant, Lasse Rindom speaks with retired tech executive and deep thinker Michael Carroll about the coming shift from automation to true agency. They explore what it means when AI no longer just supports decisions, but begins to reason with us - and sometimes, for us.   Highlights include: What agency really means - and why some AI projects miss the point The illusion of better decisions through more dashboards Why discomfort is essential for growth - and what’s lost when AI does the hard things for us How causal AI could change enterprise architecture from gatekeeping to guidance Whether AI isolates us from peer groups - or makes us more deeply understood It’s a conversation that asks more than it answers - which is exactly the point.   Do you want to know more about Mike Carroll? Mike Carroll grew up on a farm in Ohio, where work began at breakfast and was measured in sunrises, where results were earned with sore muscles and finished with calloused hands. That foundation instilled the discipline of process, respect for time-tested practices, and the belief that lasting value is built, not borrowed. Those lessons carried him from the fields into engineering and later into leadership, shaping a career grounded in both tradition and innovation.   From the mills of Mead’s pulp and paper operations to executive leadership at Georgia-Pacific, he drove transformation at scale by embedding innovation into the core of operations. As Deputy Chairman and CEO at Shepard LTD in the UK, he navigated global markets. At McTech Group, he forged growth with Walmart, Lowe’s, Home Depot, and Kroger. Today he serves as Chief Strategy and Operations Officer at Trek.AI, Research Fellow at LNS Research, and Board Advisor to the Industrial AI Nexus, working with the Chief Architects Network. Alongside these roles, he advises multiple AI startups, mentoring the next generation of leaders shaping the future of intelligence.   Across this journey, Carroll has been recognized as Visionary of the Year by Smart Industry and Innovator of the Year by the Association of Suppliers to the Paper Industry. A sought-after keynote speaker and columnist, he weaves real-world case studies with lyrical storytelling that challenge leaders with a simple question: “What must be true in one year, three years, a decade?” Whether advising boards, guiding innovation councils, or speaking to global audiences, he holds to one conviction,  the next industrial revolution will not be won by those who claim to have every answer, but by those willing to seek and bold enough to ask better questions.

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• Episode #70 | Jakob Freund | On AI Agents in deterministic processes, and new dimensions of orchestration

  In this episode, Lasse Rindom speaks with Jakob Freund, CEO of Camunda, on what it really means to build AI-driven automation that’s enterprise-ready - without losing grip on governance, process integrity, or human responsibility. Their lively, deep-cutting discussion covers: The realistic path to AI value - why it’s still about measurable automation, not magic Jakob’s framework of blending deterministic workflows with dynamic agentic AI The rise of “enterprise-grade agents” that own processes (not just perform tasks) How Camunda's orchestration layer became the missing link between structure and AI flexibility Governance, crumple zones, hallucinations, and who really ends up in jail when the agent fails Do you want to know more about Jacob Freund? Jakob is the co-founder and chief executive officer, and is responsible for setting a bold vision and strategy for Camunda. He is also the driving force behind Camunda’s global growth and cohesive company culture. Jakob co-authored the best-selling book, “Real-Life BPMN,” and is a sought-after speaker at technology and industry events. He holds an MSc in computer science from Hochschule für Technik und Wirtschaft Berlin.

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• Episode #69 | Danilo McGarry | On hype and panic in AI, and the architecture of tomorrow’s enterprise

  In this episode of The Only Constant, Lasse Rindom is joined by Danilo McGarry, global AI leader, board advisor, and host of one of the fastest-growing AI podcasts. Together, they explore the real-world implications of AI transformation - far beyond the hype and fear-driven headlines. Key discussion points include: Common misconceptions that derail enterprise AI initiatives Why AI isn’t “plug and play” - and how purpose, process, and orchestration determine success Danilo’s three-phase outlook for the future of work, automation, and post-scarcity economics How generative AI and robotics will shift business models, employment, and even national economies What boards and executives must do to govern AI responsibly and drive long-term transformation From rethinking workforce structures to building workflow-driven organizations, this episode offers a grounded and forward-looking perspective on the next decade of AI in business and society. Do you want to know more about Danilo McGarry? Danilo McGarry is a leading AI & Digital Transformation expert, advisor, and keynote speaker. His work focuses on transforming organizations through practical AI applications and strategic digital initiatives. With a proven track record at Fortune 500 companies, Danilo has helped businesses increase valuations by up to 5x. He specializes in transforming companies with tech, especially through the use of Ai and Digital Transformation methodologies. Danilo has trained over 90,000 consultants, C-suite executives, and board members in the world's largest 10,000 companies across 90+ countries. His insights reach millions of professionals annually through his speaking engagements, socials and publications. His work is studied by over 100 universities around the world and is approved by the PMI institute. Today he runs his own Ai company & advises Fortune 500, FTSE 250 companies and governments around the world. What makes Danilo truly unique is his rare ability to excel at both the technical and business aspects of AI. While many experts specialize in either technology implementation or business strategy, Danilo bridges this gap. Danilo is one of the few leaders on earth to have successfully designed, built, and scaled AI & Digital Transformation programs for global organizations while simultaneously driving over $2 billion in tangible business value through new products, services, and operational efficiencies - a combination of skills rarely found in a single professional.

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• Episode #68 | Eric Siegel | On the ease of AI, and the difficulty of standing out

  In this episode of The Only Constant, host Lasse Rindom speaks with Eric Siegel - author of The AI Playbook and a straight-talking voice in a noisy AI market. Siegel cuts through overpromises, resists crystal-ball fantasies, and reminds listeners that most of AI’s real business value still comes from predictive models, not the latest generative toys. They discuss: Why predictive AI remains an untapped differentiator while generative AI is fast becoming a commodity The “accuracy fallacy” and the danger of chasing perfect certainty How narrowing scope and adding predictive layers over generative systems can make them viable in high-stakes use cases Why AGI is, in Siegel’s view, at least 1,000 years away - and why that’s a useful mindset for today’s business leaders Do you want to know more about Eric Siegel? Eric Siegel, Ph.D., is a former Columbia University professor who helps companies deploy machine learning. He is the cofounder and CEO of Gooder AI, the founder of the long-running Machine Learning Week conference series, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at hundreds of universities, as well as The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate computer science courses in ML and AI. Later, he served as a business school professor at UVA Darden. A Forbes contributor, Eric publishes op-eds on analytics and social justice.   Eric has appeared on Bloomberg TV and Radio, BNN (Canada), Israel National Radio, National Geographic Breakthrough, NPR Marketplace, Radio National (Australia), and TheStreet. A Forbes contributor, Eric and his books have been featured in BBC, Big Think, Businessweek, CBS MoneyWatch, Contagious Magazine, The European Business Review, Fast Company, The Financial Times, Fortune, GQ, Harvard Business Review, The Huffington Post, The Los Angeles Times, Luckbox Magazine, MIT Sloan Management Review, The New York Review of Books, The New York Times, Newsweek, Quartz, Salon, The San Francisco Chronicle, Scientific American, The Seattle Post-Intelligencer, Trailblazers with Walter Isaacson, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.

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