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Screen First, Assess Deep Second: The AI Hiring Framework That Cuts Costs

Screen First, Assess Deep Second: The AI Hiring Framework That Cuts Costs

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 The pre-employment assessment market just hit $1.95 billion in 2026 — and over 70% of mid-to-large organizations are already using at least one AI-powered tool. But most of them are using these tools in the wrong order, running expensive cognitive assessments on every applicant instead of reserving them for qualified finalists. In this episode, we break down the two-stage pre-screening framework that's changing how smart HR teams approach candidate evaluation. We compare four major platforms — OVI, pymetrics (Harver), Criteria Corp, and Arctic Shores — and explain exactly where each one fits in the hiring funnel. You'll hear why OVI's audio-only format makes it the go-to top-of-funnel tool for compliance-conscious teams, how neuroscience games and task-based assessments deliver deep candidate insights at the finalist stage, and why sequencing matters more than the tools you pick. If your organization is spending too much on assessments or struggling with compliance under frameworks like NYC Local Law 144, this episode gives you a practical framework to fix it — starting today.
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