Challenges
The client company struggled with screening hundreds of high-volume resumes, as all of them were coming from diverse channels and were differently structured and formatted. This led to inefficient CV evaluation and increased hiring costs.
In the end, they applied to Silk Data for a solution that would allow to streamline hiring workflows and optimize the work of recruiters. The result would help them quickly identify high-potential matches for job openings.
About the Project
Our client is a leading talent acquisition company specializing in building candidate pools to fill open positions for their customer companies.
Why do Companies Need AI Resume Screening Software?
The past years have raised greater demand for AI solutions. The key functions that expect to benefit the most from AI usage are:
- Marketing and sales
- Product and/or service development
- Service operations
- Knowledge management
- Software engineering
- Risk, legal and compliance
- Supply chain and inventory management
Human resources also demonstrate need in AI tools, as according to McKinsey's ‘State of AI’ report from March 2025, 13% of companies all around the world use generative AI for human resources operations on an everyday basis.
The main reason for that is the necessity to automate as many operations as possible. Companies look for solutions able to spare human resources and recruitment specialists from time-consuming operations of resume screening, processing and analysis.
Source: https://www.mckinsey.com/
Development Stages
Silk Data’s IT specialists divided the work on the CV screening software into six main stages:
Conceptualization
First, after the initial discussion we identified the problem of resume processing and evaluation as a common pain point for company recruiters. Specialists could not effectively process all the CVs coming, because of their huge numbers, non-standardized formats and various channels of receiving. Through that, the project team came up with the idea of using AI for automated resume screening.
Research
Then we carried an in-depth market research and a few user interviews, which provided our team with a comprehensive understanding of the project's pain points. We identified industry benchmarks in resume analysis and current trends in candidate matching technologies.
Design
Next, we created a high-level design for future CV screening software. At that stage, the key focus was on the main features, functionalities and user interface elements planning. We also defined the data sources, formats and AI models that would be used for resume analysis, conversion, matching and recommendation system.
Development
Our specialists used ChatGPT API integration as the core of the software, along with other tools and frameworks for data processing, web development, and user interaction. In addition, the best practices of Agile methodology were followed to ensure the quality and efficiency of the newly developed resume checker.
Testing
The entire development process was followed by various tests to ensure the proper functioning, performance, accuracy and usability of the solution. Furthermore, we collected feedback from the client and potential users to validate and improve the solution.
Release
The last stage was to deploy the solution in the client's environment, and ensuring its compatibility and security was the key priority. To empower the client's team, we provided comprehensive documentation, training, and ongoing support.
However, Silk Data’s work didn’t stop at the release stage. We empowered the client's team with comprehensive documentation, training and additional ongoing support. This enabled the company recruiters were able to immediately start working with the software and obtained materials for new specialists onboarding.
Look at One of the Best AI Resume Screening Software
Following the SLA, Silk Data team developed a solution that meets the client's needs. How does automated resume screening work?
- It converts unstructured resumes into structured data using AI, enabling efficient comparison and in-depth analysis of candidate skills and experience.
- The AI engine matches the information in candidates' resumes against job requirements, showcasing and highlighting the most relevant of them for recruiters' review.
- The prior criteria considered by software during resume scanning and matching it with requirements are skills, qualifications, preferred responsibilities and salary. The AI model finds relevant skills, even if they are worded differently.
- Resume screening AI creates custom interview questions for each candidate's profile, allowing hiring managers to assess their potential more effectively.
- The platform facilitates pre-screening chats with shortlisted candidates. Recruiters might have a ‘virtual interview’ with the applicant for efficient assessment through standardized questions.
Positive Outcomes for the Client
Our CV screening software utilizes advanced machine learning algorithms for AI-powered screening and candidate evaluation. This facilitates a data-driven approach to talent acquisition, which speeds up the entire screening process.
With the developed solution delivered by Silk Data, the Client received the following improvements in the CV analysis:
- A 40% increase in the quality and diversity of their talent pool.
- A 20% boost in reputation as a hiring and employment company.
- Resume screening time and hiring costs were cut by 50%.
- Client feedback indicates higher candidates relevance and accuracy.
Silk Data goes beyond streamlining your hiring process with resume screening tools. We can also equip our clients with contract analysis software that automates contract preparation and review, saving valuable time and resources.
Considerations about Using AI in Recruitment
Despite the obvious benefits of automation, widespread implementation of artificial intelligence raises more and more concerns, and HR is no exception.
According to Deloitte's article of April 2025, around 63% of both companies’ representatives and employees see huge gap between the working expectations and real experience and performance. Most of them think that the reason for that is thanks in no small part to AI.
Recruiters and HR departments put too much trust into the automation tools, fully delegating candidates' selection to them. As a result, companies automatically reject candidates who weren’t able to write or generate a CV that would pass the algorithms of AI-driven recruitment software. At the same time, those who have no necessary expertise go further, because of the right selection of keywords and other info in their resumes. They are likely to be rejected during the other recruitment stages, but their initial chances are still higher.
Silk Data doesn’t promote and support hiring practices that don’t consider human-to-human interaction. Our resume screening software focuses on analyzing and extracting data from unstructured candidates CVs, making them more convenient and accessible for further analysis.
The main goal of our tool is to speed up the process of filtering candidates and not to fully delegate it to machines. At the same time, some features, for example, custom interview questions generation promotes individual and unique approach in recruitment. That’s why our solution is one of the best AI resume screening software.
Frequently Asked Questions
It refers to the application of artificial intelligence (AI) to candidates’ assessments in the hiring process. While screening CV, AI can measure candidates' personality traits, cognitive abilities, and problem-solving skills to determine their compatibility with the job and the company culture.
AI for CV screening is revolutionizing hiring by offering a bias-free approach. A whopping 42% of companies, according to an IMB survey, have already integrated this technology. From sourcing applicants to matching them to the right role, AI can streamline the entire hiring cycle. This not only significantly reduces screening time but also empowers recruiters to build a robust pool of qualified candidates.
The best resume screening software automates the initial candidate selection process. The applicant tracking system (ATS) scans resumes for keywords and criteria matching the job description. Extracted information like skills, work history, and education is then organized for easy analysis. Resumes with strong keyword matches and relevant details receive higher rankings. This allows recruiters to quickly identify top candidates for further review.
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