Integrating Explainable Ai (Xai) Into Decision Support Systems: A Framework for Enhancing Transparency and Trust in Managerial Decision-Making

This study introduces a new design process that incorporates artificial intelligence Explainable (XAI) into the Intelligent Decision Support System (IDSS) in a bid to promote transparency and confidence in managerial decision-making.Enhanced with machine learning mechanisms and the LIME algorithm, the system will aim to deliver understandable customer churn predictions in the context of a business setting.This study integrates Streamlit-based dashboard interface and user-centered design to make the study usable and accessible.The Testing and measuring outcomes indicate that XAI integration enhances user confidence and system transparency without a related negative impact on the predictive accuracy.The results lie within the expanding domain of explainable AI and its possible applications in real-world decision-making settings.