AI Insiders

Skoda Auto runs AI transformation with two leaders, one from the business and one from IT. Dr. Ina Offergeld, Head of AI and Transformation, brings the platform and architecture lens. Dominika Matarazzo, Head of Consumer and Digital AI Transformation, brings the customer and strategy lens.
Host Vincent Pirenne talks with them about how Skoda picks AI investments worth making. They explain why saying no to ideas matters. They also cover how a large, traditional company builds AI into the way it already works, without adding new committees.

Amir Ouki, partner at BOI, breaks down what's actually happening inside large organizations. Why the jobs most at risk aren't the ones companies expect. Why pilots stall before they scale. And how the conversation has shifted from cost reduction to building entirely new revenue streams.
Labor is splitting into more valuable and less valuable segments. Understanding which side your role sits on is no longer optional.
If you're a manager, executive, or knowledge worker wondering whether your role is safe or how to stay relevant, this episode will give you a compelling blueprint for navigating AI-driven change.
Amir leads BOI's Americas practice and has worked with MasterCard, Johnson & Johnson, and Coca-Cola.

Becoming AI-first isn’t about deploying more tools, but about changing how work gets done.
In this episode, Laura Stevens breaks down why AI transformation is fundamentally a leadership and operating model challenge, not a technology one. The conversation explores how organizations must redesign workflows, confront technical debt, rethink roles and responsibilities, and build trust in AI systems to unlock real value. Drawing on patterns across industries, Laura explains why smaller organizations often move faster, how AI exposes hidden inefficiencies, and what leaders must do to shift from managing tasks to overseeing outcomes. 
This is a grounded, practical look at what AI-first actually means in practice - and why most organizations underestimate the change required.
Dive deeper: Download your AI-first playbook here

Takeaways
AI transformation requires a redesign of organizational workflows.
Technical debt can become a strategic bottleneck for AI adoption.
AI should be integrated into business processes, not treated as a separate technology.
Trust in AI is hindered by psychological barriers and fear of loss of control.
Roles in organizations must shift from task execution to oversight and strategy.
Smaller organizations often adapt to AI faster due to less legacy complexity.
AI adoption should focus on outcomes rather than isolated use cases.
Leadership must understand that AI changes how value is created in organizations.
AI can expose existing complexities and inefficiencies in processes.
The success of AI transformation depends on the willingness to rethink how work is done.

In this conversation, Vincent Pirenne interviews Alberto Prado, who shares insights from his extensive experience in leading AI and digital transformations at major companies like Unilever, Philips, and Nokia. They discuss the evolving landscape of technology disruption, the unique challenges of implementing AI in R&D, and the importance of building a robust data foundation. Alberto emphasizes the need for organizations to embrace change, foster partnerships, and focus on long-term growth strategies rather than short-term efficiencies. He also highlights the significance of leadership in navigating the complexities of AI transformation and the future of organizations in an AI-driven world.

Takeaways
Technology breakthroughs drive the need for transformation.
The pace of disruption is increasing in today's landscape.
R&D requires high reliability and sophistication in AI models.
Data quality and richness are crucial for AI insights.
AI transformation in R&D needs a different approach than other functions.
Building a data lab can accelerate R&D innovation.
Organizational culture must embrace data as a key asset.
Partnerships are essential for successful AI transformation.
Measuring ROI should focus on growth, not just efficiency.
The future of organizations will require a balance of human expertise and automation.

In this episode of AI Insiders, we dive into how GenAI is reshaping commercial strategy across enterprise with Alyssa Fenoglio.

Alyssa shares how she’s putting GenAI to work to unlock business value at enterprise scale:
How to build GenAI momentum across global commercial teams
Lessons from embedding AI in sales, marketing, and agency workflows
What it really takes to scale GenAI in a compliance-heavy industry
Why AI literacy, soft skills, and governance matter just as much as technology
What does it take to go from pilot use case to impact at scale?
Tune in to find out.