This study examines Augmented Business Intelligence (A-BI) solutions that incorporate advanced simulation and predictive analytics to improve decision-making processes. We highlight the limitations of conventional BI infrastructures focused on data warehousing in forecasting and scenario modeling. We offer a multi-criteria evaluation methodology utilizing the Analytic Hierarchy Process (AHP) to evaluate A-BI solutions based on essential criteria: what-if scenarios, forecasting, and machine learning capabilities. Our analysis designates SAP Analytics Cloud as the most efficient solution for adding simulation features. This study presents a systematic approach for choosing BI systems that correspond with contemporary corporate requirements for agility, interaction, and strategic insight.