Where’s the line between empowering workers with AI and replacing them?
Prerna Kaul has faced that question firsthand. While launching Walmart’s first Canadian mobile app, she met customers worried that automation might erase human jobs. Years later at Moderna, she led the build of an internal generative AI platform that supported 750 custom GPTs to help the company pursue an ambitious goal of 15 vaccines in five years. Today she’s applying those lessons at Panasonic Well, shaping AI for family wellness.
In this conversation, Daniel and Prerna talk through her journey from engineer to product manager, why engineers often become product thinkers, and what it takes to build AI products that both deliver value and maintain trust. Prerna shares the importance of prototyping in GenAI, how 120+ customer discovery interviews guided her platform design, and what it looks like to quantify impact when metrics aren’t straightforward.
🔑 What You’ll Learn in This Episode
- ✅ How to address fears of automation while rolling out new tech
- ✅ Why prototyping and scope are essential for GenAI accuracy
- ✅ What it took to launch 750 GPTs at Moderna
- ✅ How engineers grow into product leaders
- ✅ Why defining success metrics is harder in AI than in B2C
🔗 Resources & Links
- 🤝 Connect with Prerna on LinkedIn: https://www.linkedin.com/in/prernakkaul
- ✨ Learn more about Panasonic Well: https://well.panasonic.com/
- 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus
- 👉 Have a guest in mind? Reach out to Daniel at daniel@manary.haus
💬 Know someone wrestling with the balance between automation and human work? Share this episode with them!
The views expressed in this podcast are based on Prerna’s professional experiences and expertise. They do not represent the views of her employer.
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