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Integrating artificial intelligence (AI) into various industries, including the financial sector, has transformed them. This paper aims to examine the influence of integrating AI, including machine learning, process automation, predictive analytics and chatbots, on financial institutions and explores its various aspects and areas. The study aims to determine the impact of AI integration on financial services, products and customer experience.

The research study uses quantitative and qualitative methods, as well as secondary data analysis. It investigates four AI subfields: machine learning, process automation, predictive analytics and chatbots.

The research findings indicate that integrating AI, particularly in machine learning and chatbot subfields, holds promise and high strategic potential for financial institutions. These subfields can contribute significantly to enhancing financial services and customer experience. However, the significance of predictive analytics integration and process automation is relatively lower. Although these subfields retain their usefulness, they might necessitate alternative workflows and tools that incorporate human involvement. Overall, AI integration minimizes human interactions and errors in financial institutions.

The research study contributes original insights by exploring the specific subfields of AI within the financial industry and assessing their strategic significance. It provides recommendations for financial institutions to adopt AI integration partially in multiple phases, measure and evaluate the impact of the transformation and structure internal units and expertise to strategize adoption and change.

This study aims to investigate the influence of smart technologies on SMEs sustainability and to measure the mediation effect of SMEs’ sustainability strategy in the relationship between smart technologies and SMEs’ sustainable performance in the Kingdom of Bahrain. The sustainability concept for the purpose of this study includes environmental sustainability, social sustainability and profitability factors.

The study applied the quantitative analysis method. The sample size was 403 small- and medium-sized enterprises (SMEs) from Bahrain.

The study concludes that smart technology has a major effect on profitability performance, among other sustainable performance factors. In addition, there is no mediation effect of “SMEs’ sustainability strategy”. The study has recommended improving SMEs’ participation in sustainable development principles by considering supportive global initiatives to “Net Zero Roadmap 2050”, increasing the demand for using technologies and including academic “sustainability” concepts in academic programs.

This study contributes significantly to Bahrain’s economic growth by studying the proactive and innovative methods for increasing SMEs’ efficiency. Furthermore, it adds value to Bahrain’s national economy by investigating the role of SMEs and its strategic practices by implementing smart businesses towards developing business empowerment in Bahrain’s economic vision for 2030 and meeting SDGs regionally and globally.