https://simplecast.com Change Agents Change Agents is a new podcast, featuring AI pioneers and supply chain innovators who reveal how they're transforming the backbone of trade & commerce. Change Agents is Freehand's original series for the operators rewriting how global supply chains think, decide, and act. ©2026 Quaking Aspen, Inc. All rights reserved. en Fri, 27 Mar 2026 05:00:00 +0000 Thu, 2 Apr 2026 10:58:13 +0000 https://podcast.change-agents.ai Change Agents https://image.simplecastcdn.com/images/7f10692c-a711-4536-9f44-323abdf72e72/b7eceac2-3527-45c5-a3f5-4e8bfbe43a62/3000x3000/change_agentsthumbnail.jpg?aid=rss_feed https://podcast.change-agents.ai episodic Change Agents is a new podcast, featuring AI pioneers and supply chain innovators who reveal how they're transforming the backbone of trade & commerce. Change Agents is Freehand's original series for the operators rewriting how global supply chains think, decide, and act. Nitin Jayakrishnan, Suja Chandra false https://feeds.simplecast.com/al2bNxQN ai, supply chain Freehand.ai hi@freehand.ai 62f181e8-2159-4be5-a866-eaa8c5733953 AI is on the Menu — Logistics at $7B+ Scale
  • The iceberg model: AI opportunity above the surface, data, process, and change management risk below
  • 4,000 supply chain simulations run weekly — from gut instinct to data-driven at scale
  • The 2x2 decision framework: automate low-cost, high-frequency decisions first
  • 30% productivity unlock through human + AI pairing — how to make it real, not aspirational
  • The great knowledge worker reset: AI doesn't replace critical thinking, it demands more of it
  • Subscription model as a supply chain superpower — demand signal clarity at the front end
  • Pennies over pounds: why transformation lives in aggregated small wins, not moonshots

    • STANDOUT QUOTES

    "Just because there's an iceberg in the ocean doesn't mean you don't sail. You need to understand it and recognise the mass under the water."

    "The value exists in the pennies. There are so many pennies across the company that a single AI solution can cut across and deliver at volume and at scale."

    "We don't need paper pushers. We need people who add value, think, and make sure the output makes sense."

    EPISODE CHAPTERS

    00:00  Cold open — the iceberg, the reset, the pennies

    02:30  HelloFresh at scale: 15+ markets, 4 brands, $7B

    10:00  Amazon vs. HelloFresh: building at scale from day zero vs. growing into it

    18:00  Supply chain architecture: cold chain, last mile, subscription advantage

    24:00  Macro volatility: tariffs, trade wars, resilience at the board level

    31:00  The 2x2 decision framework — where AI belongs right now

    38:00  Two real AI deployments at HelloFresh: knowledge search and delay prediction

    46:00  The great knowledge worker reset — talent, education, and the frozen middle

    54:00  Board-level transformation: top down, bottom up, middle out

    58:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Fri, 27 Mar 2026 05:00:00 +0000 hi@freehand.ai (Suja Chandra, Nitin Jayakrishnan, Matt Cicinelli) https://podcast.change-agents.ai/episodes/ai-is-on-the-menu-logistics-at-7b-scale-5vI3gxda
  • The iceberg model: AI opportunity above the surface, data, process, and change management risk below
  • 4,000 supply chain simulations run weekly — from gut instinct to data-driven at scale
  • The 2x2 decision framework: automate low-cost, high-frequency decisions first
  • 30% productivity unlock through human + AI pairing — how to make it real, not aspirational
  • The great knowledge worker reset: AI doesn't replace critical thinking, it demands more of it
  • Subscription model as a supply chain superpower — demand signal clarity at the front end
  • Pennies over pounds: why transformation lives in aggregated small wins, not moonshots

    • STANDOUT QUOTES

    "Just because there's an iceberg in the ocean doesn't mean you don't sail. You need to understand it and recognise the mass under the water."

    "The value exists in the pennies. There are so many pennies across the company that a single AI solution can cut across and deliver at volume and at scale."

    "We don't need paper pushers. We need people who add value, think, and make sure the output makes sense."

    EPISODE CHAPTERS

    00:00  Cold open — the iceberg, the reset, the pennies

    02:30  HelloFresh at scale: 15+ markets, 4 brands, $7B

    10:00  Amazon vs. HelloFresh: building at scale from day zero vs. growing into it

    18:00  Supply chain architecture: cold chain, last mile, subscription advantage

    24:00  Macro volatility: tariffs, trade wars, resilience at the board level

    31:00  The 2x2 decision framework — where AI belongs right now

    38:00  Two real AI deployments at HelloFresh: knowledge search and delay prediction

    46:00  The great knowledge worker reset — talent, education, and the frozen middle

    54:00  Board-level transformation: top down, bottom up, middle out

    58:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     AI is on the Menu — Logistics at $7B+ Scale Suja Chandra, Nitin Jayakrishnan, Matt Cicinelli 01:38:47 Matt Cicinelli runs global supply chain technology for a $7B meal kit company operating across 15+ markets. In this conversation, he lays out what it actually takes to move from AI experimentation to operational impact — why the value lives in pennies not pounds, how to bring the frozen middle along, and why the great knowledge worker reset demands more critical thinking, not less. Matt Cicinelli runs global supply chain technology for a $7B meal kit company operating across 15+ markets. In this conversation, he lays out what it actually takes to move from AI experimentation to operational impact — why the value lives in pennies not pounds, how to bring the frozen middle along, and why the great knowledge worker reset demands more critical thinking, not less. false full 1     36d32bad-ca52-452a-a04a-01be7c66d658 From Global to Regional — Redefining Supply Chains in the Age of AI Agents WHAT THIS EPISODE COVERS

    • Regionalization as the new imperative — from global uniformity to local intelligence
    • Agents managing agents: the next frontier beyond task automation
    • Unstructured data: why it held back SaaS for 20 years and how AI is flipping the logic
    • Technology redefines the possible — so how do you redefine best practice?
    • Hiring AI teams: giving operators permission to build AI-powered productivity
    • Cross-functional collaboration: where it breaks down and what the fix looks like in practice
    • Customer centricity as the constant: when the customer benefits, everyone benefits

    STANDOUT QUOTES

    "We are not looking any longer just at automation and optimising transactional tasks. We're looking at how we're going to orchestrate agents — and eventually our agents will be managing other agents."

    "Now we're going to be looking at how processes need to be defined to maximise these intelligent tools. It's flipped."

    "My answer to you, Suja, is: I will allow you to hire AI teams. You go pick the AI teams that are going to help you be more productive."

    EPISODE CHAPTERS

    00:00  Cold open — regionalization, unstructured data, agents managing agents

    01:45  Nelly's introduction: from mechanical engineering to global supply chain

    05:00  Building a global career — cultural adaptability across Shanghai, London, Houston

    11:00  Regionalization vs. globalisation: what's actually driving the shift

    16:00  Energy transition supply chains: the regional complexity of renewables

    22:00  Cross-functional breakdown: where collaboration fails and what fixes it

    28:00  AI in operations: from optimisation to orchestration

    33:00  Live demo moment: real invoices, real data, real-time action

    37:00  Value creation philosophy: the whole is greater than the sum of its parts

    40:00  Close

    Powered by Freehand.ai

    ]]>     Thu, 19 Mar 2026 15:35:15 +0000 hi@freehand.ai (Suja Chandra, Nelly Geranton, Jim Hilbert) https://podcast.change-agents.ai/episodes/from-global-to-regional-redefining-supply-chains-in-the-age-of-ai-agents-jQltLR5c WHAT THIS EPISODE COVERS

    • Regionalization as the new imperative — from global uniformity to local intelligence
    • Agents managing agents: the next frontier beyond task automation
    • Unstructured data: why it held back SaaS for 20 years and how AI is flipping the logic
    • Technology redefines the possible — so how do you redefine best practice?
    • Hiring AI teams: giving operators permission to build AI-powered productivity
    • Cross-functional collaboration: where it breaks down and what the fix looks like in practice
    • Customer centricity as the constant: when the customer benefits, everyone benefits

    STANDOUT QUOTES

    "We are not looking any longer just at automation and optimising transactional tasks. We're looking at how we're going to orchestrate agents — and eventually our agents will be managing other agents."

    "Now we're going to be looking at how processes need to be defined to maximise these intelligent tools. It's flipped."

    "My answer to you, Suja, is: I will allow you to hire AI teams. You go pick the AI teams that are going to help you be more productive."

    EPISODE CHAPTERS

    00:00  Cold open — regionalization, unstructured data, agents managing agents

    01:45  Nelly's introduction: from mechanical engineering to global supply chain

    05:00  Building a global career — cultural adaptability across Shanghai, London, Houston

    11:00  Regionalization vs. globalisation: what's actually driving the shift

    16:00  Energy transition supply chains: the regional complexity of renewables

    22:00  Cross-functional breakdown: where collaboration fails and what fixes it

    28:00  AI in operations: from optimisation to orchestration

    33:00  Live demo moment: real invoices, real data, real-time action

    37:00  Value creation philosophy: the whole is greater than the sum of its parts

    40:00  Close

    Powered by Freehand.ai

    ]]>     From Global to Regional — Redefining Supply Chains in the Age of AI Agents Suja Chandra, Nelly Geranton, Jim Hilbert 00:41:22 Nelly Geranton has run supply chains across Shanghai, London, Paris, and Houston. Her core argument: global optimisation is over. Regional nuance is the new competitive edge — and AI agents are what make it executable at scale. This conversation covers what happens when agents start managing other agents, why unstructured data was the real obstacle to SaaS success for two decades, and what it means to actually hire an AI team. Nelly Geranton has run supply chains across Shanghai, London, Paris, and Houston. Her core argument: global optimisation is over. Regional nuance is the new competitive edge — and AI agents are what make it executable at scale. This conversation covers what happens when agents start managing other agents, why unstructured data was the real obstacle to SaaS success for two decades, and what it means to actually hire an AI team. false full 3     6dc3d311-3b15-4444-9ee2-4f9d10d049b6 Firefighting + Foresight — Leading People, Customers, and AI in Supply Chain  

    WHAT THIS EPISODE COVERS

    • Leading transformation from inside the system: influence, negotiation, and coaching over authority
    • Supply chain as the nervous system of the company — and what that demands of its leaders
    • From 100% on-time delivery to 99.5% inventory accuracy: what real operational transformation looks like
    • AI as a practical tool, not a concept: customer response automation at Schneider Electric
    • Humans as the bottleneck: managing the pace gap between technology and people
    • ESG and sustainability embedded into supplier strategy — not as a programme but as DNA
    • Building high-performance teams through change fatigue and uncertainty

    STANDOUT QUOTES

    "It felt like I was a new organ being planted into a body that did not want me there. It wasn't just about fixing operations — it was influencing, negotiating, and coaching."

    "Supply chain sits at the center. It's like the nervous system of the entire company. You're not just connecting with each function — you are connecting them to each other."

    "I have a passion for AI — but I have to be conscious that not everyone is at the same level. Some of my team had worries. You can't drag them. You have to bring them."

    EPISODE CHAPTERS

    00:00  Cold open — the new organ, the nervous system, the bottleneck

    02:00  Samia's introduction: Legrand, Schneider, and the supply chain career arc

    07:00  Walking into a broken operation: diagnosis before prescription

    13:00  Automation at scale: goods-to-person robotics and WMS integration

    20:00  Cross-continental complexity: Europe to US transformation

    26:00  Data quality as the silent killer: weights, dims, and the AI readiness problem

    32:00  AI in practice: 8-hour response automation at Schneider Electric

    39:00  Sustainability embedded into sourcing strategy — not a programme, DNA

    45:00  Leading people through AI change: fear, trust, and the pace gap

    51:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Wed, 18 Mar 2026 17:23:14 +0000 hi@freehand.ai (Suja Chandra, Samia Kaci, Nitin Jayakrishnan) https://podcast.change-agents.ai/episodes/firefighting-foresight-leading-people-customers-and-ai-in-supply-chain-fVkCvtbq  

    WHAT THIS EPISODE COVERS

    • Leading transformation from inside the system: influence, negotiation, and coaching over authority
    • Supply chain as the nervous system of the company — and what that demands of its leaders
    • From 100% on-time delivery to 99.5% inventory accuracy: what real operational transformation looks like
    • AI as a practical tool, not a concept: customer response automation at Schneider Electric
    • Humans as the bottleneck: managing the pace gap between technology and people
    • ESG and sustainability embedded into supplier strategy — not as a programme but as DNA
    • Building high-performance teams through change fatigue and uncertainty

    STANDOUT QUOTES

    "It felt like I was a new organ being planted into a body that did not want me there. It wasn't just about fixing operations — it was influencing, negotiating, and coaching."

    "Supply chain sits at the center. It's like the nervous system of the entire company. You're not just connecting with each function — you are connecting them to each other."

    "I have a passion for AI — but I have to be conscious that not everyone is at the same level. Some of my team had worries. You can't drag them. You have to bring them."

    EPISODE CHAPTERS

    00:00  Cold open — the new organ, the nervous system, the bottleneck

    02:00  Samia's introduction: Legrand, Schneider, and the supply chain career arc

    07:00  Walking into a broken operation: diagnosis before prescription

    13:00  Automation at scale: goods-to-person robotics and WMS integration

    20:00  Cross-continental complexity: Europe to US transformation

    26:00  Data quality as the silent killer: weights, dims, and the AI readiness problem

    32:00  AI in practice: 8-hour response automation at Schneider Electric

    39:00  Sustainability embedded into sourcing strategy — not a programme, DNA

    45:00  Leading people through AI change: fear, trust, and the pace gap

    51:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Firefighting + Foresight — Leading People, Customers, and AI in Supply Chain Suja Chandra, Samia Kaci, Nitin Jayakrishnan 00:53:01 Samia Kaci has led supply chain transformation from inside the system — not as a programme, but as a lived responsibility. Her frame: being implanted into a body that doesn't want you. This conversation is about what it takes to lead change when you're not starting from a blank slate — navigating resistance, winning trust, integrating AI without losing the people, and why humans may become the next bottleneck if leaders aren't deliberate about bringing them along. Samia Kaci has led supply chain transformation from inside the system — not as a programme, but as a lived responsibility. Her frame: being implanted into a body that doesn't want you. This conversation is about what it takes to lead change when you're not starting from a blank slate — navigating resistance, winning trust, integrating AI without losing the people, and why humans may become the next bottleneck if leaders aren't deliberate about bringing them along. false full 4     5d9439e6-adb7-4053-8267-c2b48acf7b92 Prediction, Persuasion, and the Human Question in an AI-Driven World WHAT THIS EPISODE COVERS

    • AI as a prediction engine: what it can do and where it fundamentally cannot go
    • Social media and the human desire to share — how platforms amplify ancient instincts
    • The difference between knowing what people will do and deciding what you should stand for
    • Trust, discernment, and the growing responsibility of leaders in an age of influence
    • The risk of AI-driven persuasion at scale: manipulation, consent, and accountability
    • What remains irreducibly human when machines can predict, persuade, and recommend
    • Why measuring everything measurable is the wrong frame for leadership

    STANDOUT QUOTES

    "AI is a predictor. It has ingested so much information that its prediction is good. It can comb through reams of data faster than we can."

    "If we didn't have this need to share that's part of our DNA, there'd be no social media. Everything has changed. But the human hasn't."

    "You have to understand what it is first. AI can tell you what is likely to happen. It cannot tell you what you should believe, choose, or stand for. That work remains deeply human."

    EPISODE CHAPTERS

    00:00  Cold open — AI as predictor, social sharing as DNA, the human constant

    03:00  David's introduction: 30+ years at Y&R, WPP, and the marketing frontier

    08:00  Technology and creative work: how digital changed production before it changed thinking

    16:00  Consumer behaviour: stripping away the devices to find the human underneath

    24:00  Viral before viral: the print ad that proved sharing is ancient

    31:00  AI in healthcare: prediction at scale and what it means for human judgment

    40:00  Reality, CGI, and the consent we give when we suspend disbelief

    47:00  Measuring what matters vs. measuring everything that can be measured

    55:00  2026 and beyond: positivity, courage, and the leaders who ask why

    60:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Wed, 18 Mar 2026 17:23:01 +0000 hi@freehand.ai (Suja Chandra, David Sable) https://podcast.change-agents.ai/episodes/prediction-persuasion-and-the-human-question-in-an-ai-driven-world-Rmldlht1 WHAT THIS EPISODE COVERS

    • AI as a prediction engine: what it can do and where it fundamentally cannot go
    • Social media and the human desire to share — how platforms amplify ancient instincts
    • The difference between knowing what people will do and deciding what you should stand for
    • Trust, discernment, and the growing responsibility of leaders in an age of influence
    • The risk of AI-driven persuasion at scale: manipulation, consent, and accountability
    • What remains irreducibly human when machines can predict, persuade, and recommend
    • Why measuring everything measurable is the wrong frame for leadership

    STANDOUT QUOTES

    "AI is a predictor. It has ingested so much information that its prediction is good. It can comb through reams of data faster than we can."

    "If we didn't have this need to share that's part of our DNA, there'd be no social media. Everything has changed. But the human hasn't."

    "You have to understand what it is first. AI can tell you what is likely to happen. It cannot tell you what you should believe, choose, or stand for. That work remains deeply human."

    EPISODE CHAPTERS

    00:00  Cold open — AI as predictor, social sharing as DNA, the human constant

    03:00  David's introduction: 30+ years at Y&R, WPP, and the marketing frontier

    08:00  Technology and creative work: how digital changed production before it changed thinking

    16:00  Consumer behaviour: stripping away the devices to find the human underneath

    24:00  Viral before viral: the print ad that proved sharing is ancient

    31:00  AI in healthcare: prediction at scale and what it means for human judgment

    40:00  Reality, CGI, and the consent we give when we suspend disbelief

    47:00  Measuring what matters vs. measuring everything that can be measured

    55:00  2026 and beyond: positivity, courage, and the leaders who ask why

    60:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Prediction, Persuasion, and the Human Question in an AI-Driven World Suja Chandra, David Sable 01:02:33 David Sable has spent 30+ years at the intersection of human behaviour, brand, and technology. His provocation: AI is a predictor, not a believer. It can tell you what people will do — it cannot tell you what you should stand for. This is a conversation about what changes when prediction becomes cheap and ubiquitous, why social media weaponises our oldest instincts, and why the leaders who will matter in the next decade are the ones willing to ask why. David Sable has spent 30+ years at the intersection of human behaviour, brand, and technology. His provocation: AI is a predictor, not a believer. It can tell you what people will do — it cannot tell you what you should stand for. This is a conversation about what changes when prediction becomes cheap and ubiquitous, why social media weaponises our oldest instincts, and why the leaders who will matter in the next decade are the ones willing to ask why. false full 5     751be207-431a-474f-b18c-0cdfe4de7845 Beyond the Buzz — Gen AI's $10 Trillion Enterprise Reckoning WHAT THIS EPISODE COVERS

    • Why this AI wave is structurally different — not just another technology cycle
    • The $10T productivity opportunity: 40% of jobs reshaped, sustained growth unlocked
    • Stack realignment: the tug between foundational models, horizontal platforms, and domain apps
    • Agentic AI and the coding revolution: what vibe coding gets right, and what it misses
    • From POC to production: why enterprise AI fails between demo and deployment
    • CEO-led transformation is the differentiator — the organizations winning are led from the top
    • Responsible AI as governance: why boards must treat it like compliance, not innovation theatre

    STANDOUT QUOTES

    "The organizations that are doing well with AI right now are led from the top. The CEO has to own it."

    "There is a lot of knowledge around agentic automation. But there's still this mystique. We're going through generations in how we build systems."

    "Customizations of legacy systems — SAP, Salesforce — can now be written by Gen AI. That's the bridge across the big migration."

    EPISODE CHAPTERS

    00:00  Cold open — agentic AI, the mystique, and what's actually different

    03:00  38 years at Accenture: what the vantage point reveals

    08:00  The cloud foundation: why you couldn't have Gen AI without it

    14:00  Vibe coding and the limits of AI in software development

    22:00  From POC to production: the enterprise graveyard between demo and deployment

    30:00  Where productivity gains are already landing — the real numbers

    38:00  CEO-led transformation: why the top matters more than the tech stack

    44:00  Legacy systems and the transition bridge — SAP, Salesforce, and Gen AI

    51:00  Responsible AI, governance, and the board's role

    56:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Wed, 18 Mar 2026 17:22:36 +0000 hi@freehand.ai (Suja Chandra, Paul Daugherty, Nitin Jayakrishnan) https://podcast.change-agents.ai/episodes/beyond-the-buzz-gen-ais-10-trillion-enterprise-reckoning-qJc3Iej1 WHAT THIS EPISODE COVERS

    • Why this AI wave is structurally different — not just another technology cycle
    • The $10T productivity opportunity: 40% of jobs reshaped, sustained growth unlocked
    • Stack realignment: the tug between foundational models, horizontal platforms, and domain apps
    • Agentic AI and the coding revolution: what vibe coding gets right, and what it misses
    • From POC to production: why enterprise AI fails between demo and deployment
    • CEO-led transformation is the differentiator — the organizations winning are led from the top
    • Responsible AI as governance: why boards must treat it like compliance, not innovation theatre

    STANDOUT QUOTES

    "The organizations that are doing well with AI right now are led from the top. The CEO has to own it."

    "There is a lot of knowledge around agentic automation. But there's still this mystique. We're going through generations in how we build systems."

    "Customizations of legacy systems — SAP, Salesforce — can now be written by Gen AI. That's the bridge across the big migration."

    EPISODE CHAPTERS

    00:00  Cold open — agentic AI, the mystique, and what's actually different

    03:00  38 years at Accenture: what the vantage point reveals

    08:00  The cloud foundation: why you couldn't have Gen AI without it

    14:00  Vibe coding and the limits of AI in software development

    22:00  From POC to production: the enterprise graveyard between demo and deployment

    30:00  Where productivity gains are already landing — the real numbers

    38:00  CEO-led transformation: why the top matters more than the tech stack

    44:00  Legacy systems and the transition bridge — SAP, Salesforce, and Gen AI

    51:00  Responsible AI, governance, and the board's role

    56:00  Rapid fire + close

    Powered by Freehand.ai

    ]]>     Beyond the Buzz — Gen AI's $10 Trillion Enterprise Reckoning Suja Chandra, Paul Daugherty, Nitin Jayakrishnan 01:00:57 Paul Daugherty spent 38 years at Accenture, leading one of the world's largest technology organisations. His verdict on this AI wave: fundamentally different from everything before, and most enterprises are still treating it like a pilot programme. This conversation goes deep on why the $10T opportunity requires board-level governance, why the talent differentiator is human judgment not model selection, and what it actually takes to move from experimentation to scaled transformation. Paul Daugherty spent 38 years at Accenture, leading one of the world's largest technology organisations. His verdict on this AI wave: fundamentally different from everything before, and most enterprises are still treating it like a pilot programme. This conversation goes deep on why the $10T opportunity requires board-level governance, why the talent differentiator is human judgment not model selection, and what it actually takes to move from experimentation to scaled transformation. false full 2