DROIT

Adroitent’s DROIT GenAI Solution helped a leading global healthcare services provider Revolutionize their Recruitment Function by Reducing Time-to-Seek by 80% and Time-to-Hire by 50%

Reduced Time-to-Seek by 80%

Shortened Time-to-Hire by 50%

Reduced Hiring Costs by 30%

About the Customer

Customer is a leading global healthcare services provider having a presence in the USA, Europe, the Middle East, Africa, and India. The customer has been fast expanding their healthcare services across the globe with an aim to deliver cost-effective healthcare services and improve patient outcomes. 

Business Challenge

Customer faced significant challenges in quickening and streamlining their recruitment functions. With a vast array of positions to fill, from clinical roles, and physician roles to administrative support staff, the company struggled with lengthy time-to-seek and time-to-hire periods. The customer had a database of resumes but lacked teams to process them and close open positions quickly. In addition, the customer had not only suffered from delayed critical hiring, but also had inflated their recruitment costs, impacting operational efficiency and delivery of its healthcare services.

Solution Delivered
The customer partnered with Adroitent for a solution to improve their recruitment function. Adroitent deployed its DROIT GenAI framework, a groundbreaking solution most effective across diverse industries such as Banking, Financial Services, Healthcare, etc.
About DROIT GenAI Solution

DROIT is an AI-powered solution combining the power of GPT, LLM, and Conversational AI, to revolutionize content accessibility for digital enterprises. DROIT solution helps to navigate the complexities of GenAI integration and generates valuable content outputs from the existing huge volumes of digital content. DROIT associates with the core element of an application, uses an LLM model to run and understand, and extracts information with natural language adopting a Retrieval Augmentation Generation (RAG).
Technology Stack

Azure AI Search, Azure Open AI, .Net core, and Python and Prompt Engineering.
Project Activities

DROIT integration with the customer database: DROIT AI solution was integrated with the customer database of profiles. . DROIT solution was extensively used on the database to reduce time-to-seek and time-to-hire significantly for the customer. DROIT acted as an enabler to pull the accurate profiles based on the job description, skill set, years of expertise and other factors.
Key Features
Position details: The integration built a front end to capture the position requirements to enable mapping with the profiles.

• Job description automation: Once a requirement was captured, precise job description was generated
• Profile database integration: Existing profile database was pulled into the vector database of the new system. Data cleansing and transformation was done as needed.
• Intelligent candidate matching: Pulled most accurate matching profiles from the vector database based on job criteria and skill sets by employing sophisticated AI algorithms. Also ranked matching profiles
• Fine tuning Search: Further shortlisting facility thru generative AI to shortlist   candidates based on experience, skills, education, CTC, etc., to get the best fit candidate for the requirement.
• Bias reduction: Promoted diversity and reduction in unconscious bias in the hiring process by ignoring of demographic information such as age, gender, and ethnicity, focusing solely on skills and qualifications.
• Personalized candidate engagement: Generated personalized communications such as emails and messages to potential candidates providing personalized candidate engagement.

Business Outcome
Improved recruitment process: Transformed the healthcare company’s recruitment process significantly by reducing the time to seek by 80%. Identified and ranked the matching profiles and helped the customer to close the open positions.

Expedited hiring process: Enabled the company to expedite the hiring process, reducing the time-to-hire by 50%.
Improved quality of hires: Automated job description process and intelligent candidate matching features ensured only the most relevant candidates were considered, thus enhancing the quality of hires.
Reduced hiring costs: Optimized recruitment workflow for the customer which ensured a noticeable decrease in hiring costs by 30% and in quicker closure of openings.
Enhanced business productivity: With the AI-driven profile ranking and context-driven matching that helped close positions quickly effectively enhanced business productivity.

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