AI can save money and time. Or it can generate a $20,000 bill overnight. What makes the difference?

Mandip Kanjiya has shipped AI-powered products in HR, insurance, and identity verification. Some worked. Some didn’t. Each one taught clear lessons for leaders who want AI to help, not hurt. In this conversation, Mandip shows why an “advisory layer” helps teams avoid leaking sensitive data, how on-device processing cuts costs and compliance exposure, and where using proven models beats trying to build your own.

Daniel and Mandip get specific: claims triage that moved faster once the workflow was redesigned, HR document generation that stayed private by templating inputs, and KYC checks that extracted only the fields needed on the user’s device. They also talk about where things went wrong and got expensive, including the real-world exam ...