Accessibility and usability in public information systems are critical for ensuring user satisfaction and regulation compliance. To overcome the difficulties in obtaining traffic infraction data in Peru’s Lima and Callao metropolitan areas, this project focuses on creating and deploying a Rule-Based Robotic Process Automation (RPA) system. User inefficiencies and compliance delays result from the fragmented, non-standardized, and inadequately supported timely notifications of current systems. The proposed system automates the consultation process, consolidates data from various municipal platforms through web scraping, and delivers real-time notifications to users. The methodology includes user research through interviews and usability testing, leveraging tools such as User Personas, Empathy Maps, Scenario Maps, and Journey Maps to identify user pain points and expectations. The system is built to emphasize user-centered design, utilizing MySQL for data management, React.js for the interface, and Python for automation. Positive comments on the platform’s user-friendly design and functionality were also received, and usability assessments showed considerable increases in work completion efficiency and user interaction flow. In conclusion, this RPA-based solution demonstrates significant efficacy in resolving fragmentation within traffic infraction consultation systems while enhancing user accessibility. These findings establish a robust framework for parallel implementations across diverse municipal services, underscoring the strategic value of integrating automation technologies with human-centered design principles in public administrative systems. Furthermore, this implementation provides compelling evidence that systematic approaches to digital transformation can effectively bridge the gap between municipal services and citizen needs, thereby advancing the modernization of public sector operations.