Designing an AI-Assisted Decision Support Tool: An Example of a Tool Based on a Low-Code Business Application

Abstract:

This article presents the concept and implementation of a retirement decision support tool based on artificial intelligence (AI). The tool leverages the BERT language model and the Business Process Model and Notation (BPMN) platform to analyze user data and provide personalized retirement planning recommendations. Key components of the tool include: Data Collection: Users input information about their financial, health, and life situations. AI Data Analysis: The BERT model processes the data and generates personalized recommendations. Results Presentation: Users receive clear and understandable retirement planning recommendations. The presented tool and described method of designing offers a solution to support individuals in making decisions about their financial future. By utilizing the latest technologies, such as artificial intelligence and business process modeling, this tool provides a high level of personalization and precision.