"PLAN DE IMPLEMENTACIÓN DE INTELIGENCIA ARTIFICIAL GENERATIVA PARA LA OPTIMIZACIÓN DE PROCESOS EN EMPRESAS AJUSTADORAS DE SINIESTROS EN QUITO - ECUADOR

Abstract

The study titled "Implementation Plan of Generative Artificial Intelligence for Process Optimization in Loss Adjusting Companies in Quito, Ecuador" explores the integration of generative AI in loss adjusting firms to enhance operational efficiency and service quality. The research identifies challenges these companies face, such as information management, response times, and operational costs, due to the complex and case-specific nature of claims adjustment. The study highlights processes that can be optimized, including document analysis, interview transcription, and report drafting. Proposed AI-based tools include Natural Language

Processing (NLP), Optical Character Recognition (OCR), and generative models such as GPT- 4 to improve efficiency in these areas. The research follows an exploratory methodology,

assessing the current state of the SERPRAS company, identifying its strengths and weaknesses regarding AI integration. The implementation plan is divided into three phases: analysis and design, development and testing, and implementation and monitoring. Additionally, it outlines costs, technological requirements, and a staff training plan. Ethical and regulatory considerations are also addressed, emphasizing the importance of data protection and compliance with Ecuadorian regulations. The study concludes that generative AI can streamline processes, reduce costs, and enhance decision-making. However, successful implementation requires investment in infrastructure, data security, and staff training to ensure its effective and responsible application.