The Impact of Automation and AI on Business Transformation

Authors

DOI:

https://doi.org/10.26495/mxmebe29

Keywords:

Robotic process automation, low-code platforms, systems integration, automated workflows, applied artificial intelligence

Abstract

This research analyzes the impact of Robot Process Automation (RPA) on organizations. Through a systematic review based on the PRISMA methodology, 11 studies published between 2020 and 2025 were examined, highlighting the implementation of platforms such as n8n and Make (Integromat). These results reveal six main application areas: notification and alerts, process optimization, data processing, automation with GPT, voice agents, and customer service. These findings show that low-code/no-code tools significantly reduce human errors, optimize execution times in repetitive tasks, and improve operational efficiency. The integration of AI, especially in GPT models, allows the creation of intelligent agents capable of understanding natural instructions and designing complex workflows. Documented to achieve an average reduction of 20-40 hours per month in administrative tasks and significant financial savings, RPA automation drives organizational digital transformation by freeing up human resources for higher-value, strategic activities.

Author Biographies

  • Fabián Ruiz Santos, Universidad Nacional de Trujillo, Trujillo, Perú

    Mi nombre es Fabian Ruiz Santos y nací en  de agosto de 2004, actualmente vivo en Trujillo Perú y curso el 7tmo ciclo de la carrera de Ingeniería de Sistemas de la Universidad Nacional de Trujillo

  • Fernando Olivert Pantoja Payano, Universidad Nacional de Trujillo, Trujillo, Perú

    Mi nombre es Fernando Olivert Pantoja Payajo y nací el 25 de octubre de 2003, actualmente vivo en Trujillo Perú y curso el 7tmo ciclo de la carrera de Ingeniería de Sistemas de la Universidad Nacional de Trujillo

Published

2025-12-01

How to Cite

The Impact of Automation and AI on Business Transformation. (2025). Ingeniería: Ciencia, tecnología E innovación, 12(1), e3068. https://doi.org/10.26495/mxmebe29