MAPPING AND AUTOMATION OF JUDICIAL ADMINISTRATIVE ACTIVITIES: A CASE STUDY IN THE ATTORNEY GENERAL'S OFFICE OF THE MUNICIPALITY OF NATAL, RN
Process Mapping; Automation; Public Administration; BPM; Legal Process Management.
This study presents a detailed investigation and a proposal for the automation of judicial administrative activities in the Attorney General's Office of the Municipality of Natal, RN (PGM of Natal, RN). The research uses process mapping and the application of Artificial Intelligence (AI) technologies to optimize operational efficiency and increase transparency in service delivery.
The approach highlights the importance of digital transformation as a fundamental pillar for the modernization of public administration. This movement aligns with the global quest for greater efficiency, transparency, and speed. In particular, the research aligns with the UN Sustainable Development Goals (SDGs), such as SDG 16 (peace, justice, and strong institutions) and SDG 8 (economic growth and decent work).
The study methodology was two-phase. First, a Systematic Literature Review (SLR) covering the period 2000 to 2024 was conducted in the Scopus and Web of Science databases to support the improvement proposals. Subsequently, an exploratory-participatory case study was conducted at the Natal, Rio Grande do Norte, PGM (National Planning and Management of Public Administration) in Natal, Rio Grande do Norte. The researcher, working directly on the BPMN process mapping project, collected data through document analysis, participant observation, and semi-structured interviews.
The study highlights its contribution to strengthening public management, promoting a more modern, results-oriented administration aligned with the principles of transparency, justice, and sustainable development. The study not only proposes an automation model for the identified administrative processes but also develops recommendations for replicating this model in other public institutions.