How to Scale an AI Company Without Burning Out

In this episode of Gaining the Technology Leadership Edge, Mike Mahoney speaks with Zach Ratner, CTO and Co-Founder of Yembo, about scaling an AI company without burning out—or falling for AI hype.

Zach explains how Yembo uses computer vision to help movers and insurance companies perform visual estimates, replacing manual, error-prone walkthroughs with structured video analysis. While the technology is powerful, Zach is clear about its limits: AI accelerates work, but it doesn’t replace human judgment, trust, or relationship-building.

The conversation dives into Yembo’s growth during COVID, when the company expanded from the moving industry into property insurance and grew from roughly a dozen employees to around 70. Forced into remote work, the team learned how to design workflows across time zones—using the U.S. for product definition, Ukraine for development, and India for testing—to make continuous progress without extending workdays.

Zach also shares leadership lessons from this journey, including delegating ownership, running policies as short-term experiments, and allowing employees to trial new roles inside the company. These practices improved retention and helped the team scale responsibly.

The episode closes with insights from Zach’s book, Grow Up Fast: Lessons from an AI Startup, which distills practical guidance on building teams, applying AI realistically, and growing without waiting for “perfect” conditions.