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Artificial intelligence has made a substantial impact on the banking and financial sector, and this impact is most evident in the way individuals and institutions save, move, and manage their money. It is improving and adding efficiency to banking services by giving these services a personalized touch. AI solution providers are continuously creating algorithms that allow financial institutions to analyze their customer data and offer services that are tailor-fit to each individual customer [1]. Whether the financial institution is a private bank, wealth management firm, or a retail bank, the objective of these AI-driven platforms and tools is to provide guidance and services for their clients that mimic those of a human advisor. These tools learn from historical data on client behavior, preferences, and engagement to offer financial advice that is relevant, timely, and personalized. AI is making it cost-effective to offer small-sized or younger client segments access to financial advice that has traditionally only been available to wealthier clients using in-person engagements. The client can have access to a one-to-one financial advisor and step-by-step instructions based on their personal saving and investment situation that can be monitored if there are any changes. The debt repayment advice can evaluate the interest rates and terms of the borrower's loans whether the rate of return of the investment is higher or not, can determine the cost of tax and the future investment opportunities in light of which the advice is sensible [1]. Ai is a very powerful tool in monitoring the customer and their financial goals. This solution can be used to compare the clients investments against the optimal portfolio allocation and also notify clients about any suggested actions that need to be taken within the limits of their tax implications or any law changes that affect these clients. Wealth management is currently experiencing an AI-driven boom and will continue being used to develop many more AI service applications in banking.