Our client specializes in matching top-tier talent with positions in the pharmaceutical, biotech, and medtech sectors. Their mission is to streamline the recruitment process and discover the industry's top professionals. Our role at HW.Tech was to help the client build efficient business workflows to reduce the time, effort, and costs associated with manual candidate screening. We transformed their approach to talent acquisition by leveraging AI-driven technologies.
In any industry, the recruitment process can be accelerated and made more efficient, minimizing the need for manual screening and evaluation of candidate profiles. For example, even with a talent pool of 7,000 individuals on LinkedIn, manually reviewing profiles for a single recruitment request can take up to 160 hours.
Recruiting in the pharmaceutical sector is even trickier, as jobs here require scientific, regulatory, and business expertise. For our client, finding an ideal candidate for a single position typically takes about a month and involves the efforts of three recruiters on average.
HW.Tech started collaborating with the client by developing a Proof of Concept (PoC) for an automated recruitment platform that integrates AI-driven candidate ranking and an interactive dashboard. It streamlines candidate profile analysis, enabling the easy identification of candidates matching the characteristics of the benchmark profile. The process follows these steps:
At HW.Tech, we deeply value our clients' time and resources. To bolster PoC development, our engineering team introduced the Unified AI Adapter (UAIA). This versatile platform serves as a flexible constructor to build sophisticated AI solutions and ensure their seamless integration into existing business systems.
Our solution cuts the screening time by 10x per candidate, easily managing a large number of CVs and profiles. With this enhancement, recruiters can screen a wider talent pool more effectively. Plus, with advanced AI and machine learning algorithms in the mix, the recruitment approach becomes more pragmatic, and candidates are ranked against predefined benchmarks much more accurately.
Our modular system is flexible enough to accommodate extra functionalities the client might request. This could involve features like a chatbot for candidate inquiries or an automated LI search for quicker candidate sourcing. One of the milestones on our roadmap is developing a mobile app to empower candidates, making it easy for them to upload their CVs.