Empowering Innovation in Banking Insurance: Expert System for Information Management

Background: Nowadays, financial institutions face and solve challenges to optimise Information Management (IM), so the use of new technologies such as Expert Systems (ES) is indispensable. Therefore, the objective of this research is to implement an ES to improve IM in insurance companies. Method In terms of approach, the agile methodology SCRUM was chosen, which consists of five phases: initiation, planning and estimation, implementation, review and retrospective, launch, and thus decision making and optimisation of the IM process. In addition, the following technologies were chosen: ASP.NET as programming language, HTML as markup language, SQL Server as database management and CSS for design and visual styling. Results The results also showed a significant increase of 35% in user service, accompanied by a significant improvement of 44% in report delivery. Finally, a significant improvement of 24% was observed following the implementation of the expert system. This streamlines processes, reduces waiting times, improves the user experience in real time and optimises the management of large volumes of data in the insurance company. Conclusions The system demonstrated that this tool improves decision making, reduces errors in the issuing area and provides a user-friendly interface for information management.