The field of behavioral finance has extensively explored the ways in which cognitive biases and irrational decision-making patterns adversely affect the investment performance of individuals. This research investigates how investor biases can be addressed within digital platforms by combining insights from behavioral finance with the capabilities of artificial intelligence (AI). Through an analysis of roboadvisory services such as Betterment and Wealthfront, as well as Korean fintech platforms including Kakao Pay Securities and Toss, this study explores how behavioral finance principles are practically implemented in digital investment environments. The findings indicate that tailored, AI-powered investment guidance, along with automated portfolio strategies and digital nudging methods, can play a significant role in reducing cognitive biases such as overconfidence and loss aversion. This combined strategy demonstrates considerable promise in fostering more stable and rational investor behavior, ultimately contributing to improved long-term financial performance. Also the study discusses the practical implications and limitations of AI-based digital behavioral finance strategies and proposes future research directions.