Agroseguro has improved its agricultural insurance offering thanks to AWS's generative artificial intelligence service

The company's technological project focuses on several key areas. First, cloud migration as a fundamental strategy. Agroseguro has completed the first phase of the AWS cloud migration acceleration program (MAP). The new architecture will form the basis of the future agricultural insurance management system, and will be based on native AWS services and technologies.

Second, artificial intelligence projects represent a clear commitment on the part of Agroseguro. These projects seek to apply generative AI in areas such as detecting fraud within insurance lines, using data learning techniques, as well analyzing images as part of their assessment processes using artificial vision techniques, both of which offer promising potential for transforming the organization's operations.

Agroinsurance is also exploring generative AI initiatives using Amazon Bedrock, AWS's generative AI service. The company has initiated a project to investigate how natural language processing can facilitate the understanding of various technical and legal documents. This project focuses especially on documents related to the terms and conditions for the different insurance lines, and the rules of assessment.

Finally, it should be noted that everything mentioned above falls within a strict IT security framework that allows us to solve the risks associated with malicious attacks and security problems related to the use of artificial intelligence to be mitigated.

In short, the commitment made not only allows Agroseguro to progress on its journey to the cloud, but also to explore the possibilities offered by AI in all its aspects, and in particular those linked to generative artificial intelligence.

Agroseguro's commitment has made its technological resources and strategies more flexible, allowing it to increase or reduce its IT resources efficiently and on demand. This flexibility is crucial at times of high activity, such as the end of insurance underwriting periods or during extreme weather events. In addition, the scalability provided by AWS helps to optimize costs, allowing resources too be adjusted as needed, only paying for what is used.

Another of the company's objectives is streamlining products and conditions for customers. Developing predictive models using artificial intelligence allows Agroseguro to produce more accurate analyses to assess and price the risks for the different insurance lines, resulting in the possibility of offering its customers better prices and conditions. All of this results in a more tailored and personalized insurance offering for each customer, increasing the sustainability of a system with high-performance services.

Streamlining bureaucracy and understanding technical and legal documents is another of the improvements that Agroseguro has found with generative AI. The automated understanding and management of technical and legal documents, as well as the use of natural language processing, simplifies and accelerates the interpretation of policy and regulatory conditions, improving operational efficiency and customer satisfaction.

The increase in agility achieved by Agroseguro has made it possible to progress along the path to modernization and operational improvement, something that, according to Manuel Rodríguez, CIO of Agroseguro, “reinforces our operating model, allowing us to adapt and respond proactively to the challenges we face and will face in the coming years”.

The adoption of a data-driven approach in the cloud offers Agroseguro a unique opportunity to optimize its management and make decisions based on real and current data. AWS makes it easy to store, process, and analyze large volumes of data in an efficient and secure manner.

In addition, cloud technology offers scalability and flexibility, allowing Agroseguro to continue to adapt quickly to the needs of its policyholders and other stakeholders.

The technological strategy adopted is contributing to promoting an internal culture of active exploration and adaptability within Agroseguro. By embarking on generative AI projects and cloud migration, the company has shown an openness to technological innovation, which is crucial to improving and optimizing the service provided. “This approach has allowed us not only to test new technologies, but also to learn from the results and adjust strategies quickly, to ensure more efficient management and a better quality of service,” says Manuel Rodríguez.