An Agentic HR System Empowering Borderless Flexibility and Intelligent Attendance Management
The rapid advancement of digital technologies has heightened the need for intelligent, scalable, and automated solutions in human resource management. This paper presents WorkIQ, a cloud-based, multi-organization workforce management system designed to modernize traditional practices. Many organizations still depend on outdated, manual, or fragmented systems for attendance tracking, payroll processing, and employee human resource (HR) inquiries, resulting in inefficiencies, errors, and increased administrative workload. WorkIQ integrates GPS and QR code-based attendance tracking, automated payroll computation, AI-powered HR support, and real-time workforce analytics to address these challenges. Employees securely check in and out via mobile GPS verification or QR scanning, with attendance data automatically linked to payroll modules. A key innovation is the integration of an AI chatbot, powered by OpenAI, to handle routine queries regarding payroll, attendance, leave, and company policies reducing HR workload and improving response efficiency. The system is implemented using Firebase and Google Cloud technologies for real-time synchronization, high availability, and secure storage, with role-based access control and organizational data separation through Firestore subcollections. Developed using the Agile methodology, the system underwent iterative planning, development, testing, and refinement based on user feedback. Evaluation results demonstrate significant improvements in administrative efficiency, data accuracy, and employee satisfaction. With its focus on automation, security, and scalability, WorkIQ offers a cost-effective solution for organizations aiming to digitize and optimize workforce operations in line with Industry 4.0 standards.
Authors
- Raja Rina Raja Ikram (ORCID: https://orcid.org/0000-0002-9845-5155)
- Nur Rachman Dzakiyullah (ORCID: https://orcid.org/0000-0001-8124-1655)
- Mohd Shukor Salleh (ORCID: https://orcid.org/0000-0003-4800-2470)
- Nafies Aqasyah Bin Mohd Mahiri
Publication Details
- Journal
- International Journal of Research and Innovation in Social Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.47772/ijriss.2025.908000547
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00