Artificial Intelligence in Financial Services 2025

The most promising AI use case examples (contextualized) across financial services TABLE 1 Industry Function Description Value delivered Banking Sales and service Customer service agents receive quick and comprehensive information on all aspects of products, policies and processes from a variety of sources –Greater agent efficiency –Increased response accuracy –Quicker response time Capital markets Client servicing/ investment management Firms use AI models to create investment portfolios, offer financial assistance and provide clients with real-time insights and trading recommendations –Enhanced client satisfaction and retention –Competitive advantage Payments Fraud management and detection Pre-emptive fraud detection includes technologies that can proactively seek and identify suspicious behaviour or anomalous events before fraudulent transactions2 –Improved fraud protection for customers –Enhanced customer experience by minimizing false positives Insurance Claims The automation of claims and customer document processing3 –Improved workflows –Greater agent efficiency –Streamlined document collection and validation Across financial servicesRisk management and underwriting Prediction of fraudulent transactions, more effective underwriting processing and risk scoring –Reduced internal and external risk –Better protection of data –Improved underwriting processing times –Greater accessibility to established credit scoring and evaluation Technology development Streamlining the software development life cycle, from writing code to automation testing4 as well as understanding and decommissioning of legacy code environments –Improved workflow and accuracy –Increased efficiency –Shorter development cycles –Reduction in technology debt Artificial Intelligence in Financial Services 10