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Contents
- Introduction
- The Daily Struggles of Recruiters Before AI Adoption
- Optimizing Talent Acquisition with AI
- After AI Adoption: Better, Faster, Cheaper
- The Impact of AI on Recruitment Efforts at CodeGenix
- Concluding Remarks
Introduction
CodeGenix, an IT outsourcing/outstaffing services company, has embraced Artificial Intelligence (AI) to redefine its recruitment strategies within a competitive environment where top-tier talents are crucial for success. In order to keep up with other players in the industry, CodeGenix became aware that integrating AI into their hiring processes is highly needed. The introduction of AI interviewing and certain generative AI custom services have been the most significant leaps forward.
As a medium-sized, CodeGenix focuses on ensuring smooth recruitment procedures and project execution in the digital space. The number of employees at CodeGenix has been optimized for efficiency and expertise so that they can serve various customers including startups as well as established corporations who may need help navigating through talent acquisition complexities or managing projects within an ever-changing technical environment.
The Daily Struggles of Recruiters Before AI Adoption
CodeGenix did not just decide to adopt AI in its recruitment process. There were many problems associated with conventional hiring methods that the company had to solve first because they made it hard for them to find, engage and select the best talents.
- Broadening Candidate Sourcing
Finding candidates was a laborious manual task in traditional recruiting setups. It had some inherent limitations that prevented recruiters from reaching wider and more diverse pools of talent. Because of this, CodeGenix experienced a certain degree of talent shortages within an organization thus missing out on growth opportunities.
- Non-Personalized Communication
Generic communication strategies do not work as well as personalized ones in this age of individualization. Candidates wanted more than just standardized messages without any personal touch; they needed something that would make them feel connected throughout their journey The lack of personalized messages led to low candidate response rates.
- Inefficiency in Processing Candidates
Recruitment teams were inefficient because of manual screening processes which took too much time and consumed too many resources. The task of identifying good candidates from an enormous number of applicants was so difficult that it prolonged hiring periods, thereby increasing the time-to-fill metric. Streamlining how candidates are processed became more important than ever before as businesses started fighting for top talents in the market.
- Technological Misunderstandings
Skills gaps in technology jargon affected recruiters’ operations greatly since we live in a digital world where everything is done by machines. This means they could not understand some technical terms used during interviews thus failing to correctly assess a candidate’s ability. Hence, highly skilled individuals would be left out simply because their potential could not be recognized due to this technological barrier which prevented effective communication between HR personnel and IT professionals.
- Mismatched Working Hours
The talent industry has gone global with people applying from different countries around the world; this created a problem at Codegenix, especially when scheduling interviews across various time zones. The difference in working hours of recruiters and candidates reduced the number of weekly interviews and prolonged time taken to hire successful applicants.
The number of interviewed candidates stood at 5-6 per week, with the desired figure of 20-30 per week. At this point, there was a need for CodeGenix to re-strategize its recruitment methods while adopting new approaches that will keep up with changes occurring rapidly within today’s highly dynamic labor market environment.
Optimizing Talent Acquisition with AI
CodeGenix accomplished significant changes in its recruitment outcomes when it introduced AI into its recruitment processes. The greatest of them was the AI-enabled interview which has been a game changer as far as candidate assessment is concerned. CodeGenix is now able to conduct structured interviews at scale using PreScreen AI an AI interviewing solution that works on advanced algorithms that not only analyze what candidates say but also their non-verbal cues and facial expressions.
Using PreScreen, CodeGenix automates interview processes thereby significantly reducing hiring time. Here is how it works:
- Uploading the job description and the candidate’s CV to the system;
- AI analyzes these data sources and comes up with questions that will make the best fit for each applicant.
- The system generates a unique secure interview link for each candidate.
- PreScreen AI performs a video interview where all answers are transcribed and graded.
- PreScreen AI then evaluates the candidate’s professional and soft skills based on pre-defined criteria, providing an interview summary with a suitability grade. The human recruiter then selects or rejects the candidate for the next step.
As we can see, AI-enabled interviewing not only expedites the candidate evaluation process but also provides deeper insights into candidate suitability.
After AI Adoption: Better, Faster, Cheaper
AI interviewing and some generative AI custom services were the tools that CodeGenix used to solve their hiring issues. They said that the advent of this technology has transformed their hiring process because it has become faster, more accurate and satisfying as well.
High-Volume Hiring with AI
AI made it possible to speed up recruitment by automating different stages of the selection process. CodeGenix established the integration of PreScreen AI and their ATS. Now the system automatically uploads job descriptions, identifies relevant interview questions, conducts video interviews and evaluates candidates’ responses. During the interview, scores are assigned to each candidate depending on their answers by an AI system.
This mechanism significantly reduces filling time as it can handle many candidates (regardless of time zones) without any human intervention thereby making recruitment efficient.
Enhancing Candidate Experience
Improving the candidate experience is another critical aspect of the modern recruitment process. With such an intelligent system as PreScreen AI, conversations at the interviews were natural and candidates weren’t repelled by the feeling they talk to the machine. and Besides, a custom human avatar for a more engaging interview process was added to PreScreen AI.
In addition to AI interviews, CodeGenix integrated other generative AI custom services with their career page, creating a closed feedback loop for candidates, and crafting personalized messages.
By making the process more user-friendly, CodeGenix has seen a 1.7 increase in the rate of candidate applications and an improved conversion ratio.
Overcoming Language Barriers
Dealing with language differences while recruiting can be very challenging. CodeGenix has addressed this challenge by utilizing its AI model’s multilingual functionality. This allows applicants to use their preferred language when reading job descriptions or being evaluated during interviews.
Intelligent Scoring of Candidates
The advanced scoring mechanism used by CodeGenix’s AI system helps selectors make effective comparisons of candidates. Furthermore, it offers insights into potential risk factors associated with each hire. As a result, better candidates have been recruited faster and at a far lower cost due to this intelligent scoring system.
The Impact of AI on Recruitment Efforts at CodeGenix
The ripple effects of adopting AI in recruitment at CodeGenix have been significant — it has made the company more efficient, effective and competitive in terms of talent attraction.
Speeding Time-to-Fill
According to CodeGenix, they experience an average 45% reduction in the time taken to fill vacancies. The company has reached its goal of interviewing up to 30 candidates per week. Repetitive tasks were automated by prioritizing top talents thereby making some positions get filled within a few days rather than going for months without being occupied as was traditionally done.
Matching Better Candidates
This technology has also changed how the company identifies potential employees. They have realized that it is very good at finding people who have all the necessary technical skills as well can fit into their culture. By including sentiment analysis and personality profiling in the recruitment process, not only did they ensure that candidates met job specifications but also matched with corporate values thus enhancing retention rates and satisfaction among workers.
Reducing Cost Per Hire
Another benefit of this system is that CodeGenix now spends less money on each new employee. On average they witness a 35% decrease in hiring costs after implementing AI candidate pre-qualification. With resource allocation optimization plus reducing manual intervention during selection; overheads associated with bringing people into the organization were cut down leading to overall cost-effectiveness for attracting talent.
Concluding Remarks
Remaining innovative and flexible is the key to staying ahead in the rapidly changing world of IT outsourcing and outstaffing services. CodeGenix has become a pioneer by adopting AI interviewing and certain generative AI custom services into their recruitment strategy. CodeGenix’s transformational story shows that as technology advances, AI has the power to completely reshape the way people are hired.
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