The purpose of this research is to investigate the effect of artificial intelligence on the validation of Bank Melli customers. The present research is applied in terms of purpose and was conducted using a descriptive-survey method. The statistical population consists of technology experts from Bank Melli branches in Tehran, which are 55 people. Due to the limited statistical population, the entire statistical population was considered as a statistical sample, meaning the entire population was selected as the sample size (available sample). A questionnaire was used to collect research data. The validity of the questionnaire was confirmed by professors and the reliability of the instrument was also confirmed by measuring Cronbach's alpha. The analysis of the research data was conducted using descriptive statistical methods and inferential statistical methods. The results of the research show that the processes of pattern extraction, pattern selection, pattern adjustment, and pattern compatibility had a positive and significant effect on the validation of Bank Melli customers. Among the processes affecting the validation of Bank Melli customers, pattern selection had the greatest effect and pattern compatibility had the least effect.