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CFO Tech Outlook | Friday, July 09, 2021
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Financial advisers can use AI to provide more personalized investment advice based on examining extensive, relevant customer data, such as the customer's personal information and behavioral data both inside and outside the financial institution.
FREMONT, CA: Automation and Artificial intelligence are frequently feared as impending human replacements in various industries, including finance. While there are some areas where specific occupations may become obsolete in the future, AI applications may often be used to have a huge, beneficial impact on the finance industry by assisting humans rather than replacing them. Artificial intelligence (AI) can not only help automate monotonous manual activities, but it can also help avoid fraud and improve the entire customer experience, to mention a few advantages.
Two of the most critical advantages AI can provide to the financial services firm include:
AI Can Automate Manual Work
For professional financial services, automating laborious work is such an apparent benefit. Financial professionals can focus on higher-value jobs, such as establishing better relationships with their consumers, with AI managing tedious, repetitive tasks. Financial organizations can shorten the time it takes to accept an application by depending on AI technology for data entry, review, and verification, while also enhancing accuracy by minimizing human error. As a result, AI in finance speeds up customer onboarding and satisfaction, allowing financial professionals to focus more on strategic, higher-value work.
AI Has the Potential to Enhance Customer Service
AI can also be utilized to provide clients with a more tailored experience. Consider a discussion between a financial advisor and a customer to discuss market circumstances and make recommendations on where the consumer should put their money. It is undoubtedly useful, but it is unlikely to be as targeted to a customer's specific financial needs as it could be.
Financial advisers can use AI to provide more personalized investment advice based on examining extensive, relevant customer data, such as the customer's personal information and behavioral data both inside and outside the financial institution. Financial advisers may provide individualized services that produce superior financial results for each unique consumer using AI-driven customized intelligence supplied immediately at the time of customer encounter.
All financial institutions place a high priority on the omnichannel experience. A financial firm can use machine learning to provide a comprehensive approach to delivering a uniform, smooth customer experience across all direct or digital channels. For instance, AI can quickly act on consolidated customer data from the bank's internal and external systems with personalized service and recommendations, ensuring a seamless customer experience across all business channels for a retail bank that provides its services through brick and mortar and online channels across various business units.
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