AI isn’t here to replace us, it’s here to challenge the way we think, work, and decide. But the true test isn’t in implementing the technology itself — it lies in how humans choose to integrate AI into their work, take responsibility for its outputs, and reimagine systems to deliver meaningful, measurable results.

On this special season four recap episode, host Christian Terwiesch reflects on his conversations with Lara Liss, Chief Privacy and Data Trust Officer at GE Healthcare; Alfredo Colas, Chief Data and AI Officer at Procter & Gamble; Radha Plumb, Vice President of AI Transformation at IBM; and Dr. Pari Panari, Chair of Radiology at Penn Medicine. Across sectors, their discussions converge on several common themes: integrating AI responsibly, keeping humans in (or on) the loop, and leveraging AI as a collaborator or amplifier rather than a replacement for human capabilities. You’ll also hear Christian’s key takeaways on governance, workflow redesign, and the democratization of creativity, offering practical insights for any business leaders thinking about AI adoption in their own organizations.

Episode Highlights:

1:51 - Lara talks about the importance of ethical AI implementation, and how that requires bringing together diverse perspectives from within your organization.

4:00 - Alfredo explains how AI isn’t simply automating routine work at Procter & Gamble, but actually taking part in creative problem solving.

6:29 - Radha shares her twist on the “human in the loop” trope when it comes to determining which tasks are best delegated to AI and which are best left to people.

9:14 - Pari provides her prognosis about how AI will affect the future of healthcare delivery, and why those entering the field should familiarize themselves with the technology.

Can AI read X-rays better than humans? Will AI make radiologists’ jobs easier or more complicated? And how could a team of AI agents one day work alongside doctors to improve patient care? Those are just a few of the thought-provoking questions at the center of this episode of Where AI Works.

In this final interview of season four, host Christian Terweisch sits down with Dr. Pari Pandharipande, the Chair of Radiology at Penn Medicine, to explore how artificial intelligence is reshaping the world of medical imaging. Whether we’re talking about X-rays, CT scans, or MRIs, radiology has always relied on expert human interpretation. Now, AI is changing the workflow by boosting efficiency and helping hospitals tackle one of the biggest challenges in healthcare: a growing labor shortage. Dr. Pandharipande also walks us through the day-to-day work of a radiologist, explaining how images are analyzed, reports are generated, and decisions are made. She shares how AI is already shortening MRI exam times, detecting strokes faster, and providing decision-support tools that augment human expertise.

Episode Highlights:

7:36 - Pari explains how technology, and AI in particular, is being used to speed up and streamline the process of interpreting medical imaging.

16:19 - Pari tackles the tough question of whether or not AI could make work harder for radiologists by taking care of the easy cases and leaving the harder ones for humans.

18:56 - Pari discusses the balancing act that comes with trying to understand and embrace AI while still being somewhat skeptical of its capabilities.

It’s an ambitious objective for any organization: saving $4.5 billion a year — not by cutting staff, but by redesigning the way people and AI work together. It’s an even more noteworthy goal when the organization in question is one of the most storied technology companies in the world.

On this episode of Where AI Works, host Christian Terwiesch speaks with Radha Plumb, the Vice-President of AI-First Transformation at IBM, to explore how the iconic company is driving practical AI transformation on a massive scale. IBM has long been known for innovation, but the conversation has shifted from moonshot experiments to measurable productivity gains thanks to AI-powered workflow redesign. Radha explains why the road to AI advantage starts with strong data foundations, integrated governance, and a clear focus on human-AI collaboration — or as she puts it: “Eliminate. Simplify. Automate.” From HR and procurement to finance and IT, IBM’s internal “Client Zero” strategy reveals where the next wave of automation will hit — and how organizations can scale quickly while maintaining trust and accountability.

Episode Highlights:

7:07 - Radha explains why she prefers the expression “human on the loop” to the more traditional “human in the loop” when discussing how AI can augment workers.

14:33 - Radha discusses IBM’s “Client-Zero” approach, and how the AI initiatives it’s implementing internally serve as a preview of what’s coming for other organizations.

20:57 - Radha shares why it’s important for companies of all sizes to have governance guardrails in place before deploying new AI tools.

It’s one of the world’s most iconic consumer goods companies, founded when America was still in the midst of the Industrial Revolution. Now, more than a century later, it’s on the frontlines of another massive transformation in the way we work thanks to the rise of artificial intelligence.

On this episode of Where AI Works, host Christian Terwiesch is joined by Alfredo Colas, the Chief Data and AI Officer at Procter & Gamble, to explore how the 188 year old company is reinventing itself yet again. With nearly three decades at P&G, Alfredo shares his unique perspective on embedding AI into innovation, from product ideation to smarter supply chains, while keeping humans firmly in the loop. You’ll hear how the company leverages AI to supercharge creativity — turning individual ideas into high-performing concepts — and how AI helps democratize knowledge, making decades of consumer insights instantly accessible to employees across the company. Their conversation also highlights the importance of human judgment in final decision-making, the evolving nature of work, and how AI can eliminate routine tasks to let employees focus on higher-value, creative problem solving.

Episode Highlights:

6:13 - Alfredo shares how AI is being used to enhance rather than replace P&G’s “secret formula” for gaining consumer insights about its products.

10:20 - Alfredo explains how P&G is leveraging AI to boost personal employee productivity, improve quality, and democratize knowledge.

18:23 - Alfredo discusses which aspects of work he foresees changing the most as a result of AI implementation.

It’s an industry facing a wide variety of challenges; soaring costs, timely care, and employee burnout. But there’s growing evidence that AI can help make the healthcare sector safer, faster, and more human, all at once.

On this premiere episode of season four of Where AI Works, host Christian Terwiesch sits down with Lara Liss, the Chief Privacy and Data Trust Officer at GE HealthCare, to explore how AI is transforming healthcare delivery from the inside out. From smarter imaging and diagnostics to predictive tools that help entire hospital systems run more efficiently, AI’s potential to relieve pressure on the industry is enormous. But as Lara explains, with that power also comes responsibility to embed ethical AI principles at every stage of product development — ensuring transparency, safety, and clinical oversight. She also discusses what it takes to build trust in AI and why it’s critical to keep human practitioners in the loop to ensure patient care remains grounded in expertise and not just algorithms.

Episode Highlights:

6:06 - Lara lays out how AI has the potential to address many of the challenges currently facing the healthcare sector.

8:04 - Lara shares the first step all companies should take if they’re just getting started with AI implementation.

14:03 - Lara explains how GE Healthcare is using AI to augment the abilities of medical professionals rather than replace them.

This week, we’re doing something different. Instead of our usual episodes, we’re sharing a special conversation featuring “Where AI Works” season 3 host Peter Cappelli on the podcast “Using AI at Work.” It’s a timely, unfiltered look at how companies are actually trying, and often failing, to implement AI.

In this interview, Peter brings his decades of research at Wharton to dismantle the biggest myths leaders believe about AI adoption:

• Why boards are obsessed with headcount reductions, and why that’s the wrong metric
• The real reasons only ~5% of companies are meaningfully implementing AI
• What executives get wrong when they chase “off-the-shelf” AI solutions
• How job redesign, not job elimination, is where the true productivity gains come from
• The surprising truth about employee cooperation: guaranteeing jobs may actually speed up AI progress

He also breaks down two real-world case studies, including Ricoh’s attempt to automate insurance paperwork and a manufacturing company’s AI-driven quality control system, revealing what actually works, what doesn’t, and why AI projects fail long before the technology does.

If you’re a leader trying to separate hype from reality, or if you want to understand how AI reshapes work without erasing workers, this conversation is essential listening.

AI isn’t just a technology story — it’s an organizational one. From talent and transformation to data and decision-making, this season of Where AI Works uncovers how top executives are building the structures and the mindsets that make AI work at scale.

On this special recap and review episode, host Peter Cappelli looks back at the key takeaways from his conversations with Karalee Close, the Global Lead for Talent & Organization at Accenture; Vivian Sun, the Senior Director of Data & AI, Enterprise Architecture and IT Transformation at Jabil Incorporated; Greg Ulrich, the Chief AI & Data Officer at Mastercard; and Sohaib Perwaiz, the Group Business Engagement Lead at RBC Borealis. In each conversation, you’ll hear a first-hand perspective on how they’re guiding their companies through this transformational time, balancing innovation with governance, and experimentation with measurable business value. You’ll also get more of Peter’s expert analysis, including two important observations for any business leaders grappling with AI implementation within their own organizations.

Episode Highlights:

2:47 - Karalee explains how implementing AI requires a deep understanding of the roles and tasks within an organization, in order to re-skill employees as needed.

4:39 - Vivian talks about the first AI use-case within her organization, and how it served as a way to gain attention and support from executives.

6:42 - Greg discusses how AI implementation at MasterCard required not just alignment from internal stakeholders, but buy-in from other external partners as well.

8:36 - Sohaib shares RBC’s perspective on the importance of keeping “humans-in-the-loop”, especially as it relates to client relationships.

What happens when the volume and complexity of client needs outpace the capacity of even the world’s biggest banks? And how can AI move beyond efficiency tools to actually enrich client conversations, deepen relationships, and reimagine frontline service?

On this episode of Where AI Works, host Peter Cappelli sits down with Sohaib Perwaiz, the Senior Director of Business Advisory at RBC Borealis — the Royal Bank of Canada’s enterprise AI solution development hub and center of excellence. Their conversation explores how AI is being applied across the enterprise, including inside the bank’s advice center, where generative AI is helping thousands of human advisors reduce call times, surface insights from vast pools of transaction data, and transform routine problem-solving into personalized financial guidance. This episode also unpacks the organizational realities of scaling AI in a highly regulated industry: how to design solutions that empower rather than replace employees, how to align technology with real business pain points, and why shifting from “shiny object” experimentation to value-driven implementation is critical for banks and other companies as they navigate the AI era.

Episode Highlights:

4:49 - Sohaib describes how generative AI is being applied within RBC’s call center to improve both productivity and the client experience.

11:21 - Sohaib explains why he thinks augmenting human agents with AI adds more value than replacing them with AI-powered chatbots entirely.

17:24 - Sohaib lays out how RBC is using machine learning to drive greater client retention in the mortgage aspect of its business.