All Technologies Used
Motivation
A company in the HR industry faced costly and time-consuming recruitment processes. Azati developed an automated solution that streamlined candidate selection, reducing time-to-hire by 40% and improving placement accuracy by 25%, allowing for faster team formation and increased project success.
Main Challenges
One of the significant challenges encountered was the access management process. Access to certain system components and data had to be routed through a specific department, which often resulted in delays. However, the professionalism of the Azati team allowed us to address this issue promptly, significantly reducing delays and improving the overall efficiency of the development and deployment processes.
Another challenge involved enabling a search system to find candidates based on the context and nuances of a job description, not just keywords. Similar qualifications or job experiences were often described using completely different terminology, making it difficult to align relevant qualifications accurately across diverse resumes.
Traditional search methods often fail to capture these subtle language differences, leading to less relevant matches. Moreover, maintaining high accuracy and speed across large volumes of data was critical to meet client expectations.
Key Features
- LLM-Powered Information Extraction: Uses Large Language Models to efficiently extract relevant data from diverse resumes.
- Semantic Search with Vector Storage: Stores resume data in vector format for fast and accurate candidate filtering based on semantic similarity.
- Customizable Relevance Filtering: Allows users to adjust the weight of criteria like skills, experience, and education for each project.
- Virtual Assessment Layer: Assesses candidate suitability and provides explanations for project fit.
- Rapid Candidate Filtering: Enables quick filtering of candidates based on specific job requirements.
- Scalable Microservice Architecture: Designed as a scalable solution to handle large datasets efficiently.
Our Approach
Project Impact
By implementing Azati’s AI-powered solution, our client achieved significant improvements in their recruitment process. In under 4 months, key performance metrics showed clear improvements:
40% reduction in time-to-hire: The automated candidate selection process drastically shortened hiring cycles, enabling faster team formation and quicker project starts.
Improved match accuracy through advanced semantic search and customizable filters, ensuring candidates are more precisely aligned with project needs for better outcomes.
Enhanced efficiency through automation, reducing manual effort and human errors, while automated candidate evaluation provides recruiters with transparent, data-driven insights to make better-informed decisions.
These results, delivered quickly and seamlessly, transformed our client’s hiring process, enabling them to build high-performing teams faster and more effectively, with measurable improvements in project success.