Welcome to Lead with AI, a podcast where we speak with business leaders bringing AI to their work, teams, and organizations.

In today’s episode, we speak to Debbie Lovich, Managing Director & Senior Partner, Boston Consulting Group.

Debbie has decades of experience in making work, work, and recently wrote the stellar HBR article “How Gen AI Can Make Work More Fulfilling,” based on her team’s research about AI & Joy at Work.

In this episode, you'll learn:

• How AI Can be Used as a Forcing Function for Organizational Reinvention
• Why to Prioritize AI in High-Toil, Low-Engagement Tasks
• About Leadership and Manager’s Involvement as Being Crucial for AI Adoption
• How Co-Creation Drives Better AI Solutions and Employee Buy-In

If you’re in the midst of rolling out AI or are just getting started, this episode is a must-listen.

Reading more at: www.flexos.work/learn/how-ai-reshape-work-bcgs-managing-director-debbie-lovich

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Welcome to Lead with AI, a podcast where we speak with business leaders bringing AI to their work, teams, and organizations.

In today’s episode, we speak to Sherry Jiang, CEO of Peek, about how non-technical leaders can successfully build AI-first companies.

Sherry Jiang is an entrepreneur and tech innovator. After honing her skills as a Product Marketing Manager for Google Pay, Sherry set her sights on revolutionizing personal financial management.

Now, as the Co-Founder and CEO of Peek, she's leveraging cutting-edge AI technology to help individuals track, manage, and grow their net worth with unprecedented ease and insight.

In this episode, you'll learn how Sherry leverages AI to bridge the gap between technical and non-technical roles, rethinks traditional SaaS models, and tackles the challenges of AI adoption in larger organizations. We’ll also dive into how AI is helping her optimize team productivity and streamline innovation.

Reading more at: www.flexos.work/learn/building-ai-first-companies-without-a-tech-background

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Welcome to Lead with AI, a podcast where we explore how business leaders are integrating AI into their work, teams, and organizations.

In today’s episode, we speak with Arvind KC, Chief People and Systems Officer at Roblox, about the AI-driven employee experience and how merging HR and IT is transforming their workforce.

Arvind KC leads efforts to evolve processes, systems, and culture, ensuring that Roblox’s teams thrive and reach their highest potential.

KC has over 25 years of executive experience, focusing on how technology drives exceptional organizational performance at incredible companies like Facebook, Palantir—where he was CIO and CHRO—and Google, where he served as VP of Engineering.

Here’s what you’ll learn in this episode:

• Why integrating HR and IT is crucial for a seamless AI-enhanced work environment.

• How to adopt AI tools where they can have the most immediate and impactful results.

• The importance of setting realistic expectations for AI’s productivity boost.

• How AI could reshape organizational structures and what you need to prepare for.

• Why starting your AI journey now—and continuing—is critical for long-term success.

Reading more at: www.flexos.work/learn/inside-roblox-ai-driven-employee-experience

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Welcome to Lead with AI, a podcast in which we speak with business leaders bringing AI to their work, teams, and organizations.

In today's episode, we speak to Marlene de Koning, Director at PwC Netherlands, where she leads the HR Tech & Digital team within their People & Organization practice.

With additional experience at tech giants LinkedIn and Microsoft, and as an author and sought-after speaker on HR Tech strategy and digital transformation, Marlene brings invaluable insights on how to successfully scale AI adoption from pilot to enterprise-wide implementation.

In this episode, you'll learn:

• How to set up diverse and intelligent AI pilots
• The key to scaling AI adoption across thousands of employees
• Practical strategies for integrating AI into daily workflows
• Methods for cultivating AI influencers within your organization
• How to balance experimentation with strategy in AI implementation
• PwC Netherlands' innovative "AI in the Loop" approach for ensuring fairness

Whether you're just starting your AI journey or looking to scale your existing initiatives, Marlene's experience leading PwC Netherlands' transformation will provide you with actionable insights you can apply in your organization.

Reading more at: www.flexos.work/learn/beyond-ai-pilot-pwc-scaled-adoption-6000-employees

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Welcome to Lead with AI, a podcast in which we speak with business leaders bringing AI to their work, teams, and organizations.

In today's episode, we speak to Rebecca Hinds, the Head of The Work Innovation Lab by Asana. This first-of-its-kind think tank conducts actionable research to help businesses navigate the constantly changing world of work.

Rebecca earned her Ph.D. at Stanford University, where she focused her research on transforming organizations through technologies like AI and non-traditional work forms such as hybrid and remote work. Rebecca received the Stanford Interdisciplinary Graduate Fellowship, which is considered one of the highest honors given to Stanford doctoral students.

Her research and insights have appeared in publications including the Harvard Business Review, the New York Times, the Wall Street Journal, Forbes, Wired, TechCrunch, and Inc.

Here are five key insights you'll gain from our conversation:

1. The stages of AI maturity and how to identify where your organization stands.
2. The 5 C’s framework for AI integration: Comprehension, Concerns, Collaboration, Context, and Calibration.
3. What do top companies do differently to get AI right and why does sAI adoption mean seeing AI as a teammate, not a tool
4. How training, including tapping into power users, team leaders, and centralized support resources, is key.
5. The importance of investing in AI, and why collecting employee feedback is crucial to drive successful AI adoption.

Learn how to take your team or company from level 1 to 5 in just 30 minutes.

Reading more at: www.flexos.work/learn/ai-maturity-code-companies-do-differently

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Welcome to Lead with AI, a podcast in which we speak with business leaders bringing AI to their work, teams, and organizations.

In today's episode, we speak to Helen Lee Kupp and Nichole Sterling, Co-Founders of Women Defining AI, about how they're revolutionizing AI adoption for women and shaping the future of work.

Helen is a former Strategy & Analytics leader at Slack and co-author of the WSJ Bestseller "How The Future Works," bringing a wealth of experience in guiding companies through exponential growth and reimagining work for the AI era.

Nichole is a visionary entrepreneur and expert in adaptive intelligence who has a proven track record of building resilient, AI-powered companies in legacy industries, making her a driving force in creating workplaces of the future.

Here are five key insights you'll gain from our conversation:

1. How AI is redefining what it means to be "technical" in the workplace
2. The importance of creating a culture of experimentation with AI in organizations
3. Why diverse voices are crucial in shaping AI's development and implementation
4. Practical strategies for demystifying AI and making it accessible to everyone
5. How AI can make work better, instead of replacing people.

Reading more at: www.flexos.work/learn/women-in-ai-from-impostor-syndrome-to-ai-trailblazers

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Welcome to the new Lead with AI podcast.

In this series, we speak to senior leaders responsible for rolling out AI in their organizations and uncover deeply valuable insights into what success looks like.

In today’s episode, we meet AJ Thomas, who previously led HR and Talent Acquisition at X, the Moonshot Factory, a sister company of Google. She’s now a fractional CHRO, coach, and investor, and in this episode, she shares:

• Why do we need to see AI as a colleague, a coworker, and not technology?
• What “the human in the loop” is and why it’s crucial to working with AI.
• Why understanding the history of AI, especially in the context of your organization, is a must to ensure you don’t just create problems faster.
• The importance of disciplined experimentation and how to create a “Design of Experiment” for your next AI project.
• And finally, why curiosity is the ultimate superpower for humans in the age of AI?

Reading more at: www.flexos.work/learn/revolutionizing-ai-adoption-in-business-aj-thomas

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Welcome to the new Lead with AI podcast.

In this series, we speak to senior leaders responsible for rolling out AI in their organizations and uncover deeply valuable insights into what success looks like.

In today’s episode, we speak to Boston Consulting Group’s X global CTO, Matt Kropp, and hear about:

• Why 70% of AI's value comes from people, not just the technology itself
• How to successfully implement AI, including the importance of employee engagement, co-designing solutions, and continuous education through peer sharing.
• How AI can drive business growth beyond mere cost-cutting, ultimately creating better jobs for more people, and why focusing on 'joy at work' might be the key to unlocking AI's full potential.
• What factors you should consider when choosing which AI platforms to select for your teams and building your own AI technology?

Here are the actionable key takeaways from the conversation:

1. Successfully Rolling Out AI Means Focusing on Joy.

• You need a strategy that answers where you can use the technology and what impact you’re trying to achieve.
• Look at the end-to-end process you’re trying to affect. What is the work?
• Identify where there is toil and automatable human effort in those steps, the work people don’t like to do. Identify where there is joy, and preserve that. Use AI to create better jobs for humans, which will boost the quality of work, job satisfaction, and employee engagement and retention.

1. AI is a Change Effort. Matt shared that BCG talks about the idea of 10-20-70 when building technology. 10% of the effort and 10% of the value come from the algorithm, 20% from the software, and 70% of the value and effort come from driving change in the organization. The true value of AI implementation lies not in the technology itself but in organizational change.
2. Co-Design and Educate to Get Everyone on the AI Train. The key is to co-design solutions with the people using them. Involving employees in the AI implementation leads to better adoption and more effective solutions. Create cross-functional teams that include end-users when designing and implementing AI solutions to ensure they meet real needs and are readily adopted. Ensure education about the technology's benefits.
3. Selecting your LLM Starts with What Productivity Suite and Cloud Provider You Have. With continuous product upgrades across the major LLMs like ChatGPT, Google Gemini, and Microsoft Copilot, choosing your company’s LLM isn’t easy. Separating the questions about which tools you’ll get for your teams and what you need to build your own AI applications. For the employee tools question, consider what productivity software you’re using and paying for.
4. Matt’s final point is to not just focus on costs. Yes, we’ve heard a lot about AI being a cost saver, but also consider the tremendous opportunity. As Matt says, 80% of jobs will be augmented by AI. For the rest, we still need humans. So, create a better job for them, even allowing them to do things they could never have done before. Can you use AI to reinvent your offering?

Reading more at: www.flexos.work/learn/human-ai-featuring-boston-consulting-group-cto-matt-kropp

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