Harver

Manual screening doesn't just slow recruiters down. It costs the business. Every hour lost to resume review and scheduling means roles stay open longer, hiring managers wait, strong candidates slip away, and your best recruiters burn out on work software should handle. The bottleneck isn't just frustrating. It's expensive.

What actually keeps employees longer? Data-driven talent decisions. Our whitepaper shows how predictive assessments predict performance and attrition - and cut early turnover by 25%.

Everyone is telling you to hire for AI readiness. Nobody is asking the harder question, readiness for what, exactly? 🤔 The tools your team uses today won't be the ones they're using next quarter. The roles your hiring for now will look quite different in 12 months. So when you screen a candidate for "AI skills," what are you actually measuring? A certification on an AI tool that's already been replaced? There's a different way to think about AI workforce measurement. Learn more about AI Prevail →

AI adoption is racing ahead of workforce visibility. 88% of companies already use AI, yet only about 1% call themselves mature, because AI knowledge isn't the same as AI readiness. Harver's State of AI Workforce Readiness 2026 report shows how to measure who can really deliver.

A weak signal at the top of the funnel turns into a costly mistake down the line. Resumes were never a reliable predictor of performance, and now that 75% of job seekers use AI to write them, they reveal even less. Hire on the wrong signal and you pay for it in ramp time, missed targets, and avoidable attrition.

AI is reshaping every role, and the companies that can't measure readiness are already falling behind. 72% of employers struggle to hire for AI skills, and IDC estimates $5.5T in global losses by 2026 tied to AI skills gaps. Not knowing where your workforce stands isn't just a gap. It's a growing business liability.