Adopting Samart Quality Practices within the Framework of Digital Business Transformation: A Case Study of Al-Rasheed Bank in Mosul

The research is centered on illuminating intelligent quality through the application of artificial intelligence tools. These encompass intelligent automation, smart sensing, comprehensive data analysis, intelligent quality monitoring, information security, and continuous employee training. The aim is to transition towards digital banking operations at Al-Rasheed Bank. The descriptive-analytical approach was adopted by examining numerous sources related to the research topic to provide a theoretical perspective. As for the practical aspect, it relied on analyzing the survey results using statistical software (SPSS, Version 28) to obtain the findings and present recommendations. The research yielded several key findings, most notably confirming the existence of a correlation with a percentage reaching 83.9%. Additionally, it demonstrated an impact with a percentage of 78.9% between smart quality practices and the transition towards digital business. This research employed a questionnaire survey to delineate and diagnose the main variables, aiming to ascertain the extent of the impact of the independent variable on the dependent variable. This research stands out in its comprehensive and data-driven exploration of a set of artificial intelligence tools (smart quality), taking into consideration a wide array of factors and their practical effects to enhance banking operations for digital transformation in the Iraqi environment.