Eighty Percent of AI-Recommended Candidates Are Considered Suitable

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Over the past years, the adoption of advanced artificial intelligence in recruitment has revolutionized the talent landscape. AI recruiting technology is now helping teams quickly find the most suitable candidates, eliminating the tedious manual review process and reducing potential human error or bias.

There’s no doubt that AI has the potential to transform how organizations manage talent. Compared to traditional recruiting processes, the advantages of a precise AI system are clear. Manually sifting through a vast pool of applicants can be overwhelming, especially for large corporations receiving hundreds or even thousands of applications for a single position. AI streamlines the hiring process and ensures hiring decisions are based on objective and accurate data.

Recent internal analysis of our resume parser by Avature’s Machine Learning team has shown impressive results in this sense: AI recommendations of candidates achieve an average accuracy of 80 percent. This means that out of the top ten candidates suggested by AI, eight are deemed relevant by human experts. Their analysis also revealed that its resume parser has achieved an average accuracy of 90 percent.

This efficiency in today’s competitive job market skyrockets productivity and allows recruiting teams to focus on strategic tasks, such as engaging with

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