Theoretical and methodological foundations of the project implementation of artificial intelligence in the banking sector

One of the most advanced industries in terms of the introduction of AI technologies in the global market is the banking industry, where these technologies are beginning to be actively implemented for credit scoring, as well as in the work of front offices. The authors of the article reviewed the theoretical and methodological foundations of the project implementation of artificial intelligence in the banking sector. According to analysts at the Bank of Russia, the introduction of AI technologies in the banking industry can bring such positive effects as cost optimization, increased data processing speed, increased accuracy and speed of assessing customer solvency and processing customer requests, and improved anti-fraud efforts. In the context of increased competition in the Russian banking market, and given the importance of customer service and experience for the competitiveness of a commercial bank, AI technologies have great potential for banks to gain a competitive advantage. The results of the study are that the authors have adapted a comprehensive methodology for evaluating the effectiveness of AI projects, including both financial metrics (for example, NPV, IRR, PI) and non-financial parameters (customer service quality, request processing speed, automation level). This allowed us to provide a holistic approach to analyzing the effectiveness of AI implementation in the bank, as well as systematized methods for evaluating their effectiveness. In the final part of the article, conclusions are formulated demonstrating that the introduction of AI technologies into the work of the front office has a positive effect on the quality of customer experience and competitiveness of commercial banks, and especially among representatives of younger generations. Positive effects are achieved by speeding up and digitalizing operations, improving the quality and speed of service, and expanding the functionality of mobile applications.