Streamlined Recruitment Process with AI Application Screening Assistant
Our small team embarked on developing an AI automation system aimed at refining our recruitment process. This assistant is tasked with gathering job applications from emails, contacting applicants for missing information based on set criteria, determining applicant scores by analyzing the information provided and publicly available data, creating recruitment items in our system, and notifying relevant teams about updates. This tool integrates directly into our workflow, leveraging essential company databases and public web information to streamline the application screening process.
Challenges & Requirements
Efficient Application Management:
We aimed to reduce the manual workload involved in sorting and evaluating job applications, a task that previously consumed considerable time.
Automated Information Collection
Recognizing the frequent need for additional information from applicants, we sought an automated solution to contact applicants based on predefined criteria.
Enhanced Applicant Scoring
Our objective was to implement a more systematic approach to evaluating applicants by utilizing the information provided in applications and available online.
SOP Compliance and Data Quality
We intended to digitally enforce standard operating procedures for recruitment, aiming to improve the quality of recruitment data.
Actions
To tackle these challenges, we carefully selected and utilized a set of technologies tailored to our needs
AI System Development
Utilizing the Microsoft Bot Framework and our internal product FELEGO, we developed an AI-driven system capable of handling multiple facets of the recruitment process, from application collection to scoring.
ERPNext Integration
The AI assistant was seamlessly integrated with ERPNext and Frappe, allowing for efficient creation and management of recruitment items within our existing CRM system.
Public Information Access
We developed agent skills within the system to gather publicly available information on applicants, enriching the data used for scoring purposes
Automated Communication
The system automatically reaches out to applicants for missing information, ensuring a complete dataset for evaluation.
Staff Training
Conducted comprehensive training sessions to ensure smooth adoption and maximization of the new system.
Results & Impacts
The deployment of our AI Application Screening Assistant has significantly improved our recruitment operations, offering notable benefits
Significant Time Savings
The automation of application screening and data collection has freed up valuable hours each week, allowing our team to focus on other strategic tasks.
Improved Application Processing
The quality and efficiency of our application processing have been enhanced, thanks to the systematic scoring and data collection methods.
Better Data Quality
By enforcing our SOPs digitally, we have seen an improvement in the quality of recruitment data, aiding in more informed decision-making.
Streamlined Recruitment Workflow
The entire screening phase of the recruitment process has become more streamlined and now provides quality data for the next phase up to final decision-making, enhancing operational efficiency.
Technologies used
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