Otimização de fluxos de trabalho por intermédio de automações em tarefas repetitivas com Python

Abstract

Repetitive tasks that rely on manual interaction with corporate systems often lead to operational inefficiencies, inconsistencies, and high time consumption. To address these challenges, this work presents the development of the Macro Suite, a Python-based automation system designed to handle spreadsheet processing, data manipulation, web system interaction, and coordinated mouse and keyboard actions. The project focuses on creating a modular, reusable, and accessible tool capable of reducing operational effort and improving reliability in routine workflows. Once the system was implemented, it became essential to evaluate its performance under real-world conditions, considering the heterogeneous computing environments commonly found in organizations. Therefore, this work also conducts a comparative analysis of the Macro Suite across multiple hardware configurations, varying processor capacity, memory, and graphical performance, in order to assess its portability, stability, and execution consistency. The results indicate that Macro Suite performs reliably across different generations of hardware, maintaining high success rates and controlled execution variability. These findings confirm that the proposed solution is technically feasible, robust, and suitable for adoption in heterogeneous corporate environments, fulfilling the development and validation objectives of this project.