Where AI Works: Conversations at the Intersection of AI and Industry

• Work, Rewired: Rethinking Talent, Strategy, and AI

  It’s a daunting task: moving AI from experimentation to transformation across a massive, global organization with more than 800,000 employees. It turns out it isn’t just about optimizing tasks — it’s about rethinking roles entirely, and managing that change effectively.On this premiere episode of season three of Where AI Works, host Peter Cappelli is joined by Karalee Close, the Global Lead of Talent & Organization at Accenture, to explore what it truly takes to scale AI across a large enterprise — not just in isolated pilots, but as a driver of full organizational reinvention. Karalee shares her firsthand experience leading AI implementation on a global scale, underscoring that the real challenge isn’t technical, but cultural. She also explains how success depends on convincing leadership to embrace new ways of working, and keeping people at the center of every change, rather than treating AI as a tool for incremental improvements in existing workflows. Packed with insights and practical advice about Agentic AI in particular, this episode offers a clear look at what’s required to move beyond experimentation and generate real enterprise value. Episode Highlights:6:09 - Karalee pushes back against the notion that the relationship between AI and human employees has to be an adversarial one.11:23 - Karalee explains how defining specific tasks and sequences is no longer necessary thanks to agentic AI — you only have to define the strategic intent.18:26 - Karalee discusses the resistance Accenture has encountered in implementing AI — both internally and externally — and how to overcome it.

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• Host's Cut: Reflections on Season Two

  AI is no longer a futuristic promise — it’s become a business imperative. Whether it's edge computing for real-time insights, rethinking patient care ecosystems, or rolling out generative AI to 138,000 employees, this season of Where AI Works highlights how AI is reshaping strategy, service delivery, and decision-making across the enterprise. On this recap and review episode, host Serguei Netessine reflects on the key learnings from his conversations with Alan Lee, the CTO of Analog Devices; Elad Walach, the CEO of AIDOC; Tereza Nemenssanyi, Worldwide Director of Private Equity & Venture Capital Partnerships at Microsoft; and Ajay Anand, the Senior Vice President of Global Services, Strategy and Business Services at Johnson & Johnson. Together, they unpack how leading companies are moving beyond hype to maximize ROI across industries — from semiconductors and healthcare to global enterprises. Our guests discuss how AI is enhancing product development, reducing diagnostic errors, transforming shared services, and driving operational efficiency. It turns out technology alone isn’t enough: organizations must align AI adoption with measurable outcomes, foster a culture of experimentation, and build bridges between data scientists, business leaders, and end users to unlock true value. Episode Highlights:1:43 - Alan shares the “8th grade Earth science model” he uses to explain the relationship between LLMs, industrial AI, and edge-type devices.4:25 - Elad explains why the true value of AI lies in adopting an enterprise-wide or systems-based approach, rather than a task-by-task approach.6:05 - Tereza discusses why implementing AI should be an ecosystem play, where different startups and large companies work together to make it more useful. 7:39 - Ajay lays out the “EEE” framework (experience, effectiveness and efficiency) that Johnson & Johnson uses to track the KPIs of its AI-related efforts.

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• Experience, Effectiveness, Efficiency: Johnson & Johnson’s AI Journey

  What does it take to scale AI across a global enterprise without breaking what already works? And how do you unlock value at scale — without losing sight of people, processes, and trust?On this season finale episode of Where AI Works, host Serguei Netessine speaks withAjay Anand, the Senior Vice President of Global Services, Strategy and Business Services at Johnson & Johnson, about how AI is transforming operations behind the scenes at the iconic global healthcare and medtech company. Together, they explore how shared services — spanning HR, finance, procurement, and more — are being reimagined through an AI-first lens, unlocking new value while improving speed, decision quality, and employee experience. They also discuss how GenAI tools like JAIDA are helping 138,000 employees navigate complex internal systems and policies, reducing friction and freeing up time for higher-value work. For business leaders navigating their own AI journeys, this episode offers a clear-eyed look at where to start, how to scale, and what it takes to turn AI from a technical experiment into a strategic operating capability. Episode Highlights:5:12 - Ajay explains how AI is being integrated into J&J’s processes and services, with a focus on improving complex interactions for the company’s 138,000 employees.8:18 - Ajay discusses the KPIs — the “Three E framework” — that J&J uses to assess the effectiveness of its AI implementation efforts.17:06 - Ajay lays out his four-point strategy for other business leaders who are looking to engage with traditional, generative, or agentic AI.

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• From Pain Points to Productivity: Finding AI’s Real Value

  What if the real value of AI isn’t in the technology itself, but in the pain points and problems it solves for business? That’s the question at the heart of this episode of Where AI Works, which features an iconic company that’s been at the forefront of digital transformation for decades.Host Serguei Netessine is joined by Tereza Nemessanyi, Worldwide Director of Private Equity & Venture Capital Partnerships at Microsoft, to explore the varied, experimental approaches many of her clients are taking in an effort to monetize their AI offerings. As Tereza points out, AI deployment is still in its early stages, and success in this space requires a culture that supports rapid iteration, short sprints, and a willingness to explore both vertical and horizontal applications to see what sticks. She believes the biggest opportunities lie in high “cost-to-serve” areas — pain points where AI can dramatically reduce effort or complexity. In other words, AI isn’t a destination — it’s a journey, and the smartest companies are already well down the road.Talking Points:AI Is Being Embedded Into Everyday Tools: Generative AI is showing up in the software people already use—like Microsoft Word, Excel, and Outlook—making it frictionless for users to adopt.Horizontal Applications Are Leading AI Adoption: The biggest wins are coming from general-use AI tools that cut across industries, rather than highly specialized vertical applications.GitHub Copilot Is Transforming Developer Productivity: As a standout example, Copilot is helping developers code faster and smarter, showcasing how AI can be a true productivity partner.Episode Highlights:5:21 - Tereza lays out the three main ways in which AI is changing the value proposition for Microsoft investors, clients, and collaborators.10:30 - Tereza shares examples of horizontal and vertical AI integration efforts, and how they can both connect to a potential ROI. 19:05 - Tereza discusses the types of blockers she's seen her clients encounter while trying to monetize AT effectively.

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• AI: The Operating System for Modern Healthcare

  It's a staggering statistic: every year in the United States, diagnostic errors in the healthcare system lead to 370,000 preventable deaths and 400,000 permanent disabilities. But what if hospitals and practitioners could leverage the power of artificial intelligence to cut those numbers in half?On this episode of Where AI Works, host Serguei Netessine sits down with Elad Walach, the CEO and founder of AIDOC, which aims to set a new standard for AI-powered healthcare solutions by combining clinical logic, operational intelligence, and system-wide accountability to create an entirely new ecosystem. Their conversation offers crucial insights for other enterprise leaders who are navigating AI adoption and implementation in complex, slow-moving, or low-margin industries. It also highlights the importance of aligning AI innovation with measurable financial and clinical outcomes, rather than assuming the benefits will materialize automatically. As Elad puts it, the old saying “If you build it, they will come” is simply not true in the context of modern healthcare — you also have to prove the value of your technology and be able to extract it. Episode Highlights:8:23 - Elad discusses the challenge of convincing healthcare providers of the potential of AI when the user or practitioner isn’t the main beneficiary.15:50 - Elad explains why trying to monetize AI on a per-patient basis was a “disaster” for AIDOC because there was no clear understanding of the value proposition.19:37 - Elad looks forward to the future of AI-powered healthcare, where applications will not be disease-specific, but comprehensive and generic.

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