Preparar uma organização para a introdução de um LLM no seu sistema de informação: Caso na Gestão Financeira e Administrativa no INEGI

Abstract

In a context where digital transformation is essential to organizational competitiveness, this dissertation focuses on preparing INEGI's Financial and Administrative Management (GFA) department for the integration of a tool based on large language models (LLM) into the information system (IS). Thus, the main objective of this work is to adapt the work processes of INEGI's GFA area to allow the internal IS to optimize internal communication and enable the integration of an LLM tool. The research adopted the Action Research methodology, developed in a single cycle and supported by a mixed approach, predominantly qualitative in nature. The following data collection techniques were used: interviews, direct observation, questionnaires, focus groups and document analysis, promoting the active involvement of the unit's employees in all stages of the project. The results were the creation and reformulation of eight types of internal INEGI documentation (procedures, practices and circulars), integrated into the new version of the IS, as well as the construction of BPMN for five of these documents. The comparative analysis of the data shows significant improvements in the clarity of information, the effectiveness of communication and the organization of workflows, as well as a reduction in the time taken to carry out operational tasks. It is concluded that the integration of an LLM-based tool into the activities of the GFA unit is feasible. This is supported by the reorganization of internal information and its incorporation into a new version of the IS. These conditions constitute an essential pillar for improving internal communication and work efficiency, which is proven by the results obtained through the opinions collected in the questionnaires.