AI in HR
It represents a strategic transformation that enables human resources processes to be managed in a faster, more consistent, and data-driven manner. Artificial intelligence reduces manual workload at numerous stages-from preparing job descriptions and screening candidates to interview evaluations and analyzing employee data-while minimizing human error and subjectivity. Thanks to technologies such as Natural Language Processing (NLP), machine learning, and predictive analytics, HR teams can not only examine past data but also make more accurate decisions about the future. This approach makes it possible to reach the right candidates in a shorter time while sustainably increasing employee experience and organizational efficiency.
Job Description Preparation
Job descriptions and role requirements are often prepared manually by managers and HR teams. This approach is labor-intensive and time-consuming; inconsistencies can arise as different departments may use different formats and language for similar roles. Additionally, since the process largely proceeds subjectively, non-inclusive language may be unknowingly used, or critical competencies for the position may be overlooked. As a result, the ideal candidate profile remains unclear and job postings struggle to create the targeted impact.
Astera’s AI-powered approach doesn’t just automate the job description creation process; it offers a working model that understands you, your business, and your corporate culture. Thanks to Natural Language Processing (NLP) and generative AI technologies, our system learns from past projects, industry data, and your organizational context to produce position-specific, consistent, and strategic job descriptions. Furthermore, the language used is analyzed for inclusivity and neutrality, ensuring that postings reach broader and more accurate candidate pools.
Our NLP-based job posting creation tool can prepare a job description that would normally take hours in just a few minutes. By analyzing past recruitment successes and industry trends, the most suitable requirements for the position are automatically listed. With AI support, the process gains speed; the consistency and quality of postings increase. Thanks to data-driven insights, no critical requirement is missed, your language becomes more inclusive, and your chances of attracting the right candidates increase.
CV Analysis
Recruitment teams typically have to manually review hundreds of CVs one by one, which results in an extraordinary waste of time. For example, the average CV screening and shortlisting process for a single position takes approximately 23 hours. Moreover, since 75-88% of applications come from irrelevant candidates, most of the effort is wasted. Manual screening is not only slow but also subjective, and unconscious biases can lead to good candidates being overlooked.
Astera doesn’t just accelerate resume analysis; it makes the process more accurate and objective with an AI model that understands your organization’s recruitment criteria and position-specific expectations. Our NLP algorithms convert candidates’ profiles into structured data and assign automatic compatibility scores according to your requirements. As a result, the most suitable candidates among thousands of applications are identified in seconds, while human bias is minimized and diversity outcomes improve.
Thanks to our AI-based screening system, one of our clients was able to complete a pre-screening process that would normally take two full business days in just a few minutes. With this transformation, the speed and efficiency of your recruitment processes increase dramatically (CV review times can be reduced by up to 75%).
