What if you could spot employee turnover before it happens—and stop it in its tracks?
Turnover is expensive, frustrating, and disruptive. In this episode, you’ll hear how AI is changing the game for leaders like you by predicting when employees are at risk of leaving and giving you real, actionable strategies to keep your best people engaged.
Here’s what you’ll learn when you listen in:
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How companies are using AI to predict employee turnover and proactively boost loyalty.
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Why recognition, scheduling, and salary optimization can make or break retention.
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How a data-driven approach can save you millions by reducing hidden turnover costs.
Don’t miss this conversation—press play now to learn how you can reduce employee turnover and strengthen your team’s long-term success.
Understanding the Problem of Employee Turnover
02:15 – The Fear and Excitement Around AI
Jim Schleckser kicks off by addressing the big question: will AI destroy jobs or help solve persistent challenges like employee turnover?
07:42 – Why Traditional Tools Fall Short
Tyler Hochman explains why surveys, 360 reviews, and other HR tools often fail—because they can’t handle the “big data” problem behind employee turnover.
12:30 – Building an AI Pipeline for Retention
Tyler reveals how his team built an AI pipeline that ingests messy data, normalizes it, and predicts which employees are at risk of turnover.
18:15 – Recognition vs. Raises
The conversation highlights a surprising insight: recognition often outperforms salary increases as a cost-effective way to reduce employee turnover.
22:05 – Scheduling as a Retention Strategy
Flexible scheduling, like avoiding commute traffic or customizing work hours, is another overlooked factor that keeps employees from leaving.
Using AI to Combat Employee Turnover
27:40 – Protecting Sensitive People Data
Tyler shares how companies can use AI safely without risking employee data leaks, a major concern in tackling employee turnover.
33:50 – Proven Impact on Turnover Rates
Real-world examples show AI reducing employee turnover by 22–35%, which translates into millions in savings for organizations.
38:10 – Who Buys This Technology?
The decision makers vary: sometimes it’s HR, sometimes the COO, but when employee turnover becomes a crisis, the CEO often steps in.
43:25 – Diagnosing the True Cost of Turnover
Before solving it, leaders need to understand the financial hit. Tyler explains how his company offers turnover cost analyses to prove the ROI of AI solutions.
51:00 – Beyond Turnover: Expanding AI’s Use
The episode closes with a look at how the same AI pipeline used to fight employee turnover can also be applied to other big data business challenges.