Paulo Ferreira, Product Management Director at Cleva, explains the advantages and opportunities for insurers when they begin a process of changing their core system.
Engineering Manager
The democratisation of ChatGPT has boosted the use of artificial intelligence (AI), leading companies from different industries through new paths and making them rethink their operations. While we prepare to explore this unknown path, we are aware of the challenges that lie ahead, but also excited about the possibilities and opportunities that may arise.
Dans le contexte des compagnies d’assurance, la numérisation des systèmes d’information est une étape fondamentale. The need to adapt to market changes, the clients’ expectations and the demand for flexibility require a permanent commitment to exploring and experiencing new approaches, while aiming at contributing to an increase in productivity, an improvement in operational efficiency and the customisation of the clients’ experience.
The fields of opportunity are broad. We would like to particularly highlight the transformation in the software engineering field, in which assistants provide suggestions and code reviews, contributing to an increase in productivity and improving the quality, performance and security of the applications. Other relevant field is that of assistants capable of interacting with companies’ local information, fostering a consistent and centralised knowledge base, which allows accelerating the staff’s learning curve and increasing the productivity.
An emerging field for AI implementation is claims management, in which we observe various use cases, as well as a potential to increase the automation level of the assessment process, manage the complaint process more efficiently and automatically generate customised letters according to the context.
Despite the promising opportunities, we cannot ignore the challenges and risks associated with adopting AI. Training models with companies’ specific data, complying with the regulation, ensuring the security and privacy of the data, and mitigating potential biases are just some of the issues to tackle. We would also like to highlight the challenge of dealing with the quality and integrity of the used data, since the accuracy and reliability of the information is vital to the successful use of AI.
As we explore this path, we believe we are ready to face these challenges and explore different opportunities. We are determined to integrate the power of artificial intelligence to boost the innovation and incorporate improvements from AI, while ensuring they address real business challenges.
Paulo Ferreira, Product Management Director at Cleva, explains the advantages and opportunities for insurers when they begin a process of changing their core system.
Numérisation agile des processus d'assurance On parle beaucoup de la numérisation dans les compagnies d'assurance, notamment en ce qui concerne les processus commerciaux tels que la souscription ou la gestion des sinistres. Mais le processus de numérisation est-il facile à mettre en œuvre ? Par ailleurs, une évolution permanente et agile de la numérisation est-elle possible ?
After World War 2, the social security system expanded significantly. In 1962, the Caixa Nacional de Pensões (National Pension Fund) was established, and in 1972, there was a pension reform that unified various social protection regimes. Between 1980 and 1990, the first funds created by large companies and financial institutions began to emerge. Currently, due to population aging and high pressure on public finances, there is a trend toward adjusting retirement age and benefit amounts. Pension funds, in terms of contributions from both companies and individuals, are a good investment solution to prepare for a more stable financial future.
Cleva s’engage dans le développement de solutions logicielles qui stimulent la transformation numérique du secteur de l’assurance grâce à une plateforme logicielle complète et ouverte intégrant une gamme fonctionnelle complète allant de la gestion des polices à l’évaluation des risques et au service client.