Skill, a technology-driven staffing company, is excited to introduce a new AI-enabled recruiting offering that it boasts will revolutionize the way organizations find and hire talent. The company aspires to bring speedier, more accurate, and cost-effective hiring to customers by replacing traditional recruiting workflows with patented machine-matching technology.
A sister company of Aquent, the global specialist in marketing, creative and design staffing, Skill leverages decades of industry experience while extending innovative recruiting capabilities to businesses of all sizes. Instead of layering automation onto legacy processes, Skill has built a patent-pending AI platform that completely reimagines the way candidates are sourced, assessed, and matched to positions.
The company says that through its approach, the economics of staffing are transformed; it moves from fixed-cost recruiting models to a scalable, on-demand service. According to Skill, its technology is capable of yielding talent matches up to 12 times faster and seven times more accurately than conventional recruiting methods, helping employers reduce hiring costs without sacrificing quality.
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“Recruiting hasn’t fundamentally changed in decades,” said John H. Chuang, CEO of Skill and Aquent. “However, staffing agencies of the future won’t resemble traditional recruiting firms – they’ll operate more like tech companies, powered by engineering teams and proprietary algorithms. Skill embodies that industry shift, using AI-powered machine matching to mitigate bias, minimize fraudulent applications and deliver a quality of match that no human recruiter can accomplish at scale.”
The patented process assesses candidates for a job based on thousands of data points, such as performance measures, references, and interviewing transcripts. On the company side, the system assesses internal data for a better understanding of culture, work flows, and job requirements, so that dynamic job descriptions can be created, highlighting actual, not theoretical, business needs. The system optimizes its recommendations, allowing for high-quality matches.
In contrast to keyword-driven solutions, the technology used by Skill is more context-driven in its understanding of skills and successful patterns linked to them. Each candidate’s application is also authenticated before it is submitted to prevent phishing of applications. With this in mind, it is clear that Skill offers a next-generation platform in comparison to traditional staffing solutions.
