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Recruiting a perfect candidate that matches the job description is challenging for every type of company. In some cases, you as a recruiter might miss the best candidate because you're just too busy interviewing hundreds of them, but thanks to innovative technology and creative ideas, this hiring field is now becoming faster and more reliable. In recent years, many unique concepts have emerged that aim to reshape the recruitment industry by introducing high-technology virtual tools and applications, including AI candidate screening. In this article, we will discuss how artificial intelligence will reshape the future of recruitment with the help of advanced AI candidate screening.
How is AI Transforming Candidate Screening Process?
Thanks to artificial intelligence (AI), the candidate screening process is now much quicker and more efficient. HR recruiters used to conduct this process completely manually. It's obvious how consuming it becomes, taking up precious time and effort. And most importantly, many hiring decisions are often based on subjective judgment. This leads to the poor decision of hiring candidates whose skills and qualities don't match the specifics in a position.
AI is automating this process, meaning the candidate's qualities, skills, and experience will be automatically vetted to see if they match the job description for you to make faster hires. This also takes a lot of confusion out of hiring, allowing recruiters to focus on engaging with the most promising candidates. Essentially, AI tools can instantly evaluate resumes against key criteria, such as relevant skills, education, and experience, and then rank candidates accordingly.
Real World Example:
Samuel, a recruiter working in the tech industry needs to hire a data scientist. Typically, Samuel might be looking for specific programming languages and statistical analysis skills. He uses AI voice agents to go beyond basic keyword filtering his ATS typically scans for--to find more candidates who are a fit, and those who might not have the exact experience, but have performed similar work using similar tools and are in different industries. For example, a candidate may come from a healthcare background but they have the right analytical skills and direct data science experience. AI would present this candidate as a potentially great fit, something that a human recruiter might miss if they focused mainly on technical qualifications and backgrounds.
As you can see, they can successfully uncover valuable skills and experiences based on things like a candidate's previous work history, which will help the company decide if it reflects well against the job. It thoroughly examines a candidate's past experiences by analyzing the results of previous roles, even if those experiences are from a different industry. An added layer of analysis like this helps identify transferable skills that might have been missed in a more traditional hiring process. Companies now don't "miss out" on hidden candidates who bring something unique to the table, even if they don’t have the exact experience or skills needed listed in the job description. It's tricky to have decided a fit from paper resumes, and moving talent onto the different stages of your pipeline is a lot clearer with AI.
It also greatly reduces mistakes and bias that may arise in screening processes. How it works is by following clear, set guidelines, so the process stays the same every time. Human recruiters, even with the best intentions, can sometimes overlook amazing candidates because of unconscious bias or other factors. With AI, that’s less likely to happen. It takes out a lot of the confusion and gives all candidates the same opportunity to shine based on what matters for the role they applied for. In turn, everyone gets a fair shot without being affected by personal biases or distractions.
AI-Powered Background Checks
Let's not forget that doing a background check while hiring an employee is one of the most important tasks. Before the AI screening method, the recruiters might have felt pressured to hire the perfect candidate quickly, and they choose the one without proper consideration like doing a background check. But now, with the help of HeyMilo's AI candidate screening methods, recruiters can easily perform background checks on candidates with their specialized algorithm. It will save a lot of time while providing more detailed results.
Real World Example:
Gerry, a recruiter for a school, thought she found the perfect candidate for a teaching job. The resume looked great, with experience in education and a real love for working with kids. The resume looked perfect, and all the right skills and experience were there. But when Gerry ran an AI assessment, a few things didn’t add up. The candidate said they had a teaching degree, but the AI noticed that the school wasn’t accredited by the district. The AI also flagged that the candidate didn’t have the required teaching certifications, which were needed for the job. On top of that, it found the candidate didn’t have the right work authorization for the country. With subtle factors like this, these quick checks helped Gerry catch these issues earlier on in the process, so she didn’t waste time moving forward with a candidate who wasn’t fully qualified.
AI-Powered Resume Screening
Almost all candidates update their resumes regularly and scrutinize over the details to look perfect in front of employers. But in many cases, they edit them without knowing what the recruiters are looking for. With the help of AI-candidate screening software by HeyMilo, recruiters can analyze the candidate's background by asking questions related to what skills transfer over for the job and other details from the candidate's resume. This accelerates the hiring process and also helps remove the subjectivity bias from the recruiter's side. This is especially valuable for more specialized roles where candidates might not follow the typical job description structure but still have relevant experience. In cases like these, the AI can see past the traditional keywords and help recruiters spot potential that might not have been obvious on the surface.
Additional Insight:
Sometimes, resumes get passed over because of simple formatting or keyword issues. Applicant tracking systems are known to filter resumes based on specific keywords, and candidates who don’t know how to use those keywords are missed a lot more. For example, a candidate may have all the right skills but not use the exact words the ATS is looking for. With the nature of ATS', this causes their resume to be rejected automatically.
Conclusion
As the world keeps on making progress in adapting automated features, it's recommended that companies install AI candidate screening software. It's not easy when you’re balancing multiple positions and constantly dealing with an influx of candidates. Imagine having the ability to evaluate a wider pool of candidates in less time, with more confidence in the quality of your choices.
Finding ways to allow your recruiters to focus on the most promising candidates instead of getting stuck in repetitive tasks is a movement worth investing in. It's impossible to try to remember every detail of each candidate. With everything becoming more automated, there’s no reason to stick to outdated processes. AI can help you make the most out of your recruiting efforts.
Avoid the frustrating, manual hiring process with the help of AI candidate screening. By doing so, as a recruiter, you will hire the most qualified candidate, which will help increase your company's productivity. If you're looking to install AI candidate screening software and need guidance, reach out to us at hello@heymilo.ai for more details — we’re excited to support you in finding the best talent for your team/clients!
