Why Service Teams Outgrow DIY AI Solutions - with Neil Bhandar of Generac

Today’s guest is Neil Bhandar, Chief Data Analytics Officer for Generac. Neil brings decades of experience in artificial intelligence, from academic research to enterprise-scale implementation across manufacturing and financial services. He joins Emerj Managing Editor Matt DeMello to explore the hidden costs of building AI in-house, the risks of over-relying on large models, and how service organizations can deploy GenAI to improve efficiency and preserve institutional knowledge. Neil shares how GenAI is helping field teams access hard-to-find information in real-time — reducing the need for costly site visits and accelerating issue resolution. He also explains why human empathy remains essential in last-mile service roles, even as AI tools take on more diagnostic and decision-making responsibilities. Finally, Neil offers practical advice for enterprise leaders evaluating AI partnerships — emphasizing cultural alignment, modularity, and the need to protect what makes their organizations uniquely competitive. This episode is sponsored by Aquant. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast!