eAssist DILG: Development of a Framework for Web-Based Technical Assistance Request System with AI-Driven Analytics

Abstract

Requesting technical assistance within the Department of the Interior and Local Government (DILG), particularly for securing resource persons, is often delayed by manual workflows, fragmented communication, and a lack of transparency. This study presents the development of eAssist DILG, a framework for a web-based Technical Assistance Request System, designed as part of a Business Process Reengineering (BPR) initiative in DILG Laguna. Anchored on Agile Software Development principles, the framework integrates features such as centralized request tracking, automated workflow routing, and secure role-based access. Key system modules were iteratively designed and validated through stakeholder consultations and requirement analysis, addressing core bottlenecks in the current manual process. While full system deployment is recommended for future phases, the proposed framework demonstrates the potential to reduce processing steps, improve coordination, and enhance accountability in public service delivery. Additionally, the study outlines future integration of AI-driven analytics for predictive resource allocation and performance insights, reflecting a forward-looking approach to digital governance in local government units.