Screening & Assessment
AI-Driven Screening & Applicant Tracking
AI Integrated Candidate Assessment
Scoring starts with automated resume extraction. This process eliminates the need for manual resume screening, resulting in instant and accurate candidate scoring.
The result is that resources, such as questions and assessments, can be configured to be used on only those with a high enough score. Alchemus Gen AI analyzes candidate assessments to evaluate their fit for the role, technically and personality wise, providing valuable insights to recruiters.
Throughout the hiring process, Alchemus keeps a score of how well the candidate matches the job descriptions, how they performed on interviews, and assessment results. These scores can be used to short list candidates, which HR can focus on. For example, if there are 600 candidates, Alchemus can be configured to only present the top 20 to be reviewed, saving an enormous amount of time and effort.
Automated Video Recruiting Process
Video assessment screening includes assessing candidates via video interviews and compares applicants to provide insights into candidate suitability and determine the best candidate.
Additional scoring can happen automatically when Alchemus utilizes AI-driven question sets to tailor questions according to the specific requirements of a job, tailored to specific roles and interview types, ensuring relevance and depth, speeding up the screening process and ensuring a thorough and relevant initial evaluation.
By leveraging generative AI, Alchemus tailors interview questions and assessments to job specifications and analyzes candidate responses to gauge their suitability for the role.
Generative AI Based Predictive Hiring
Alchemus’ Predictive Hiring leverages AI algorithms and LLM to analyze vast amounts of data and identify patterns that correlate with successful hires.
By analyzing historical data on past engagements, employee performance, and other relevant factors, Alchemus can predict which candidates are likely to succeed in specific roles. This enables organizations to predict a candidate’s future performance and cultural fit more accurately.
The result is an increased quality of talent decisions by identifying candidates with the highest potential for success, based on the data from previously successful employees. This reduces the risk of bad hires, enhances employee performance, and boosts overall organizational productivity.
