Análisis de herramientas y tendencias en procesamiento inteligente de documentos: Un enfoque de vigilancia tecnológica

Abstract

In the digital age, efficient document management has become a critical challenge for organizations due to the exponential growth of structured and unstructured information. This study conducts a technological surveillance of Intelligent Document Processing (IDP) tools, examining how technologies such as Artificial Intelligence (AI), Natural Language Processing (NLP), Optical Character Recognition (OCR), and Robotic Process Automation (RPA) are revolutionizing document management. These solutions automate repetitive tasks, classify information, extract key data, and improve decision-making accuracy, resulting in increased productivity and reduced operating costs. The analysis focuses on the evolution of IDP between 2015 and 2025, identifying key trends such as the integration of modular architectures, the rise of cloud-based models (SaaS and AaaS), and the development of advanced cognitive capabilities. Through a systematic review of scientific articles, patents, and industry reports, success stories are highlighted in sectors such as finance, healthcare, and manufacturing, where these technologies have optimized processes such as invoice management, contract analysis, and record digitization. However, persistent challenges are also highlighted, such as reliance on training data, organizational resistance to change, and limitations in adoption by small and medium-sized enterprises (SMEs). The findings demonstrate that the IDP has transitioned from basic OCR solutions to comprehensive platforms with predictive and adaptive capabilities. Emerging technologies, such as semantic validation and automation-on-demand services (AaaS), promise to further boost this market, projecting annual growth of 32% to 37% by 2027. However, their implementation in contexts such as Colombia's requires overcoming technical, regulatory, and training barriers. This paper concludes with recommendations for the strategic adoption of IDP, emphasizing the need for scalable, interoperable, and user-centric solutions, as well as future research directions in areas such as data governance and integration with disruptive technologies (blockchain, generative AI).