Supply ChAInge

Derek Aranda

Join supply chain expert Derek Aranda for a series investigating the challenges and opportunities of cognitive supply chains. We interview enterprise-level experts in AI, risk, change management, ethics, HR, and logistics to gain an understanding of the real-life implementation and impact behind intelligent supply chain management. Like all good investigations, our conclusion is not a foregone one, as complex systems require complex analysis, and the cutting edge of technology, well, it can be sharp.Join us on Supply ChAInge to ask the question behind the question: not just can a cognitive supply chain work, but what does it take at scale?

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  1. Why Trust Is the Real AI Strategy, with Chris Pitre

    -3 дн.

    Why Trust Is the Real AI Strategy, with Chris Pitre

    Episode Summary: In this episode, Chris Pitre of Softway makes the case that AI transformation is a leadership and culture journey, not a tools journey. Fear, loss of control, and concerns about being replaced only get resolved when leaders lead with vulnerability, curiosity, and psychological safety. Before AI can take root and scale, Chris argues, you have to till the soil of culture: trust, inclusion, and honest dialogue. The challenge he leaves leaders with is direct: be brave enough to admit you do not have all the answers, and run your AI journey as an ongoing, human-centered transformation. 🎧 Episode Highlights  03:21]: AI as a transformation, not just a tool, and why many pilots disappoint [05:43]: Psychological safety and trust: why people won’t speak up about AI fears [10:30]: Soft skills become critical as AI takes over repetitive, mechanical work [21:20]: “Everything moves at the speed of trust”: designing safe-to-fail AI experiments [29:10]: The IKEA case: retraining 8,500 agents into consultants and unlocking $1.4B in new revenue 🔑 Key Takeaways: AI transformation is primarily a leadership and culture challenge, not a technology rollout. The episode argues that fear of job loss, loss of control, and being “devalued” will derail AI efforts if leaders don’t first build trust, inclusion, and psychological safety. Embracing vulnerability, openly saying “I don’t know,” naming fears, and inviting help becomes a core leadership behavior that enables honest conversations about what AI really means for people and the business.Leaders must shift from cost-cutting and control to curiosity, experimentation, and empowerment. Instead of “go do AI” or chasing shiny tools, they should educate everyone on what AI actually is, surface real “migraines” from the front line, and run small, fast, safe-to-fail experiments. Failure is reframed as learning, with accountability separated from punishment, so teams feel safe to try, break small things, retrain the models, and iterate quickly.AI’s real promise is to unlock human potential and more joyful work, not just replace headcount. By offloading repetitive, mechanical tasks to AI, organizations can reskill people into higher-value, more creative roles as illustrated by IKEA retraining 8,500 call center agents into interior design consultants and unlocking $1.4B in new revenue. This requires leaders to rethink org design, role definitions, and the employee value proposition, placing “love as a business strategy” at the center of how AI is adopted and scaled. 💬 Notable Quotes: “AI is a tool, not a teammate.”“Everything moves at the speed of trust.”“Silence is the biggest cost, never on a balance sheet.”“Curiosity is above knowledge in the age of AI.”“If you can forgive a human, why can’t you forgive technology?” 👤 About The Guest: Chris Pitre Chris Pitre is the Vice President at Softway and co-author of the best-selling books Love as a Business Strategy and Love as a Change Strategy. He helps organizations lead AI and digital transformations by centering on culture, using trust, vulnerability, and psychological safety to unlock sustainable performance. Chris works with executives and frontline teams alike to redesign how work gets done so AI augments people, rather than replaces them. Learn more about Softway and Culture+: https://www.softway.com https://www.culture-plus.com Stay Connected: https://supplychaingepodcast.com https://april12advisors.com Produced by Speakerbox Media.

    52 мин.
  2. 18 июн.

    Don't Lead AI Like a Project: A Leadership Guide to AI and Autonomy in the Supply Chain

    AI will not fix a broken supply chain and it requires committed leadership. In this solo episode, Derek Aranda argues that autonomy demands a fundamentally different kind of leader, one who treats AI as a continuous journey rather than a project with a finish line. Using lean as both a blueprint and a warning, he lays out the two strategic choices every leader has to make, the four things AI forces you to rethink, and why many failed AI pilots are leadership failures in disguise. The takeaway: get out of the boardroom, pressure-test what your dashboards claim, and build the conditions in which AI can actually succeed. 🎧 Episode Highlights [00:00]: Why today’s geopolitical shocks expose the need for AI in supply chains. [02:45]: Two strategic AI choices every supply chain leader must make.[08:40]: Lean as the blueprint (and warning) for your AI and autonomy. journey. [15:20]: Why many AI “failures” are actually leadership and culture failure [23:55]: Getting out of the boardroom: how real leaders make AI work on the front line. 🧭 Frameworks Worth SavingThe two strategic choices that come before any technology decision: • How existential is AI and autonomy to your operations? • Do you see it replacing your people or augmenting them? The four things AI forces you to rethink: •AI is probabilistic, not deterministic, so it needs the right context wrapped around it •AI does not stand alone, it lives inside a tech stack and your data flows •AI introduces new risk, so decide what stays with the human and what moves to the machine •AI requires orchestration across sales, finance, legal, suppliers, and customers, not just supply chain 🔑 Key Takeaways: •AI isn’t a shortcut, it’s a catalyst for a full organizational re-architecture. Leaders who treat AI as a plug‑and‑play fix will repeat the same failures we’ve already seen with lean and digitalization. The real work is root‑to‑branch: rethinking processes, decision rights, incentives, and org design so that probabilistic, AI‑driven decisions can actually stick. Without that strategic redesign from the C‑suite and board level down, AI will become just another expensive front‑end layered on top of manual, spreadsheet‑driven reality. • The real leadership challenge is marrying top-down intent with bottom-up autonomy. Durable AI is built by empowering the people closest to the work: planners, schedulers, operators, and trade compliance teams. That means leaders have to leave the conference room and get onto the floor, pressure-test "we're automated" claims, surface hidden manual work, and turn frontline judgment into system logic instead of letting it quietly override the tool. • AI only creates lasting value when leaders accept they will not get it right on day zero, or day 1,000. The shift is from project completion to the infinite game: continuously tuning data, stack, and process, recalibrating the risk line between human and machine, and iteratively earning trust in AI recommendations. • Two choices sit upstream of every technology decision: how existential AI is to your operations, and whether you treat it as replacement or augmentation. There is no off-the-shelf playbook for either. Derek's own bias is toward augmentation, but the point is that leaders have to consciously decide where they land, because those choices drive investment, org design, incentives, and risk appetite. 👤 About The Host: Derek Aranda Derek Aranda spent over two decades as a global executive operating across commercial, supply chain, and digital transformation roles at scale. That span across the full value chain shapes his lens: the decisions, incentives, trust, economics, and governance that determine whether technology actually works inside real supply chains. On Supply ChAInge, he pressure-tests the autonomous future and helps leaders shape the framework to build it on their own terms. Stay Connected: • https://supplychaingepodcast.com • https://april12advisors.com A project by April 12 Advisors. Produced by Speakerbox Media.

    32 мин.
  3. Welcome to Supply ChAInge: Exploring the Autonomous, Cognitive, Agentic Supply Chain

    4 июн.

    Welcome to Supply ChAInge: Exploring the Autonomous, Cognitive, Agentic Supply Chain

    What does it actually mean for a supply chain to run itself? Season 1 opens by defining the thing everyone is racing toward before agreeing on what it is. Derek lays out a five- level pyramid, from automation to analytics to cognitive to agentic to autonomous, so leaders can locate where they really are today and see how big the next leap is. No alphabet soup of technical terms and no vendor roadmap. The goal is a shared definition you can build against. 🎧 Episode Highlights [00:30]: How AI is transforming modern supply chain careers [01:45]: Why supply chain is now a strategic AI priority [09:30]: AI supply chain pyramid: automation to autonomous operations [15:10]: Cognitive AI for tariffs: smarter supply chain decisions [20:05]: Bounded autonomy: AI, dark warehouses, and human oversight 🔑 Key Takeaways: ● Supply chain moved from cost center to strategic lever. COVID, tariffs, and global conflict exposed how fragile and decisive supply chains are, pushing them into the boardroom. AI's rise came in the same moment, bringing real opportunity and a lot of hype. ● There's a five-rung climb, and the rungs aren't evenly spaced. Automation and analytics make work faster and more visible while humans still decide. Cognitive systems understand context and trade-offs and narrow the decision space. Agentic systems act within guardrails. Autonomous removes the human from the loop. The jump from agentic to autonomous is far larger than the jumps below it, and most organizations are still near the bottom. ● You don't fix process discipline with AI. Agents need defined rules, sandboxes, and decision criteria. If your SOPs aren't solid today, that gap becomes the dividing line between firms that can deploy AI fast and firms that can't. ● Bounded autonomy is a more realistic target. Fully dark, end-to-end autonomy is distant and maybe not even desirable. The richer goal is autonomy inside defined domains, with humans on the frontier as decision makers, coaches, and trainers Autonomy means hands applied differently, not hands off. 👤 About The Host: Derek Aranda Derek Aranda spent over two decades as a global executive operating across commercial, supply chain, and digital transformation roles at scale. That span across the full value chain shapes his lens: the decisions, incentives, trust, economics, and governance that determine whether technology actually works inside real supply chains. On Supply ChAInge, he pressure-tests the autonomous future and helps leaders shape the framework to build it on their own terms. Stay Connected: ● https://supplychaingepodcast.com ● https://april12advisors.com Produced by Speakerbox Media

    28 мин.

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Join supply chain expert Derek Aranda for a series investigating the challenges and opportunities of cognitive supply chains. We interview enterprise-level experts in AI, risk, change management, ethics, HR, and logistics to gain an understanding of the real-life implementation and impact behind intelligent supply chain management. Like all good investigations, our conclusion is not a foregone one, as complex systems require complex analysis, and the cutting edge of technology, well, it can be sharp.Join us on Supply ChAInge to ask the question behind the question: not just can a cognitive supply chain work, but what does it take at scale?