Webinar | Wednesday, July 8 | 11 am ET

Beyond AI hype: A framework for evaluating AI in a hiring platform

Every ATS vendor is pitching AI right now – but not all hiring AI works the same. Some help a recruiter write faster. Some moves work through your process automatically. And some AI is actually shaping who gets advanced, rejected or flagged. 

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In this session, Greenhouse VP, Product Management, Nkem Nwankwo, sits down with Kyle Lagunas, Founder and Principal Analyst of Kyle & Co, and CEO of Velocity HCM, Steve Koerner,  to talk about how to evaluate AI in a hiring platform. We'll walk through what each approach looks like in practice, the questions that quickly separate real product from marketing language, and what experienced TA leaders are pushing back on when they sit through a vendor demo today.

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Register now:

Wednesday, July 8 | 11 am ET

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Speakers

Headshot of Nkem Nwankwo

Nkem Nwankwo

Nkem Nwankwo is the VP, Product Management at Greenhouse Software. Throughout his career, Nkem has been involved in managing product teams, developing integrations, working on new user experiences and building AI features that drive value and efficiency.

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Headshot of Kyle Lagunas

Kyle Lagunas

Kyle Lagunas is the Founder and Principal Analyst at Kyle & Co, a modern research and advisory firm rethinking how we understand transformation in HR, talent and technology. Known for his sharp analysis, candid point of view and practical guidance, Kyle helps HR tech and talent leaders cut through hype and build strategies that actually work.

LinkedIn
Headshot of Steve Koerner

Steve Koerner

Steve Koerner is the CEO and Co-founder of Velocity HCM, where he works closely with talent acquisition leaders, recruiting operations teams and HR technology stakeholders to improve hiring processes, drive adoption and evaluate emerging technologies, including AI-powered recruiting solutions. 

LinkedIn
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The tools making a real difference for your team

In this webinar you’ll learn:

  • How to ask smarter questions that cut through vague "AI-powered" claims  
  • A sharper read on what experienced TA leaders are looking for (and ignoring) in recruiting AI 
  • How to evaluate AI without sacrificing decision quality for speed

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