AI Will Provide More Proficiency and Efficiency for Bank Employees
This IDC Perspective delves into how AI is set to enhance proficiency and efficiency for bank employees by focusing on transparency, trust, and compliance. Key productivity impacts include improved customer and employee satisfaction, faster regulatory responses, and enhanced risk management. AI use cases in banking span client reporting, customer engagement, employee enablement, operations automation, and financial crime prevention. Successful AI adoption requires employee participation and comfort with new tools, which can also aid in skill development and recruitment. AI's integration into customer acquisition, onboarding, and retention processes can personalize experiences and streamline operations, ultimately driving productivity and satisfaction in the retail banking sector."AI will have a significant impact on retail banking by enhancing employee efficiency and customer satisfaction, but only with transparency, trust, and compliance at its core," according to Marc DeCastro, research director of Consumer Banking Digital Strategies at IDC Financial Insights.
Executive Snapshot
Situation Overview
AI Productivity Impacts and Use Cases
Productivity Use Cases
Customer Experience in Retail Banking Productivity Use Cases
Productivity Gains Require Employee Participation
Advice for the Technology Buyer
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