Скачать или смотреть [SaaS Series] AI-Powered Employee Engagement Insights With Sanish Mondkar

Sanish Mondkar is the Founder and CEO of Legion Technologies, a company specializing in AI-powered workforce management solutions that optimize labor efficiency and enhance hourly employee engagement. Under his leadership, Legion has become a trusted platform for automating scheduling, forecasting, and communication across major industries. Before Legion, Sanish served as Executive Vice President and Chief Product Officer at SAP, and earlier at Ariba. He holds a bachelor's degree in computer engineering from the University of Pune and a master's in computer science from Cornell University.

In this episode… In today’s fast-paced world of retail, hospitality, and other hourly-based industries, companies are racing to balance efficiency with employee satisfaction. But as technology reshapes how businesses operate, can AI actually make hourly work more engaging, flexible, and fulfilling?

Sanish Mondkar, a seasoned technology leader and AI innovator, believes it can. He explains that traditional workforce management systems were built to control labor costs, not empower people — and that’s where AI can fundamentally shift the equation. By automating scheduling, predicting demand, and empowering employees with control over their work schedules, companies can reduce attrition while fostering a more motivated workforce. Sanish also points out that real transformation comes when AI is transparent, explainable, and trusted by both managers and frontline workers.

In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Sanish Mondkar, Founder and CEO of Legion Technologies, to discuss how AI can drive employee engagement and operational excellence. They talk about Legion’s AI-powered scheduling innovations, the “trifecta” that reduces attrition, and how automation builds trust between employers and staff. Sanish also shares lessons from scaling Legion with major brands like Dollar General and Philz Coffee.