Problem Statement:
- To address the complex and evolving landscape of employee onboarding compliance in the United States.
- With each state and country having unique laws and regulations, companies faced significant challenges in ensuring that their onboarding processes adhered to local compliance requirements.
- Traditional methods were manual, time-consuming, and prone to errors, leading to potential legal risks and inefficiencies.
Solution Overview:
- Developed an innovative platform that automates the creation of onboarding questionnaires tailored to specific legal requirements.
- The platform employs topic-based modeling to generate questions based on factors such as the employee’s profession, hiring status (new onboarding, reboarding, renewal, offboarding), and employment type (contractor, sub-contractor, permanent employee).
- The solution uses a microservices architecture leveraging AWS PAAS services like Elastic Beanstalk, Lambda, and RDS with auto-scaling features to ensure seamless performance and scalability.
- Additionally, a scoring model evaluates the responses from both the employee and the hiring manager to predict potential conflicts. If a conflict arises, the manager can either accept it or resolve it by adjusting their answers.
- All actions are meticulously recorded in an audit defense file with date and time stamps for future reporting and legal defense.
Tech Stack Leveraged:
- Programming language: PHP
- Framework: Laravel
- FE: React JS
- BE: Laravel PHP
- DB –AWS RDS
- Emails – AWS SES
Benefits Delivered:
- Has transformed the employee onboarding process for organizations, ensuring compliance with local laws while reducing the manual effort involved.
- By automating the creation of tailored questionnaires and providing tools for conflict resolution, the platform mitigates legal risks and streamlines the onboarding experience.
The integration of generative AI promises to further enhance the platform by providing legal professionals with easy access to case-specific information and legal precedents.
