Inetum and Correduría Seguros Nogal Implement Generative AI in Operational Process Analysis


The new solution not only automates repetitive analysis tasks, but also significantly expands the capacity to process and analyze a volume of information that is now much greater than with previous methods. This will enable Correduría Seguros Nogal to optimize its operations, identify inefficiencies, and make more informed decisions with unprecedented speed and precision.
“We are excited about the transformative impact this collaboration with Inetum will have on our operations,” said Clara Alonso, CEO of Correduría Seguros Nogal. “Generative artificial intelligence allows us to move from reactive to proactive analysis, freeing our team from manual tasks and allowing them to focus on initiatives of greater strategic value. This solution is a fundamental pillar [of] our strategy for digitalization and continuous improvement.”
One of the key features of this new tool is its ability to fully integrate with Correduría Seguros Nogal's existing information systems. Inetum's solution is designed to extract data from various internal sources and, equally important, return structured results directly to the systems, ensuring ease of use and operational continuity within the company's current technological environment.

“This solution not only optimizes operational analysis, but also lays the foundations for continuous evolution towards more intelligent and agile models.”
Nuria Sánchez Almodóvar,
Head of Generative AI,
Inetum in Iberia and Latin America
“At Inetum, we have approached this project with the aim of demonstrating how generative artificial intelligence can be naturally integrated into business processes to generate tangible improvements from the outset. This solution not only optimizes operational analysis, but also lays the foundations for continuous evolution towards more intelligent and agile models,” explains Nuria Sánchez Almodóvar, generative AI practice leader at Inetum in Iberia and Latin America.
Source: Inetum





