Artificial Intelligence in Financial Services 2025

Page 9 of 27 · WEF_Artificial_Intelligence_in_Financial_Services_2025.pdf

IT planning and coordinationData sourcing strategyOperationsA revolution fuelled by genAI: banking example Consumer and private banking DepositsUnsecured lendingSecured lendingCommercial and corporate banking LendingTransaction bankingSecondary marketsWealth management Portfolio management Front-back optimizationUnsecured lending OverdraftsHome LoansPricing precisionCredit memoMarket analysisPortfolio customization Securities based lendingAccount and system reviewPortfolio optimizationTrade processing Trade settlementTrading Brand, content marketing Sales, intelligent RM and adviser enablement Marketing automationLead nurturing and qualificationNew offer managementBrand managementBrand marketing and campaignsSegmentation and targetingClient and sales insightsDigital content creation and managementLead generation and optimization Client onboarding Underwriting Underwriting and credit assessment Usage and activation Usage and activation Deposit, cash and payments managementCards managementAccount and portfolio managementFraud managementInvestment managementFund services and administrationCustody and asset safekeepingCollections and default management Call centreClient servicingClient relationship managementOperations controlsInvestment managementAdvisory servicesIntelligent RM Low impact Medium impact High impact Estimated impact of genAIServicing Knowledge management and document management systemCollaboration and communications softwareContent management serviceHuman resourcesLegal CybersecurityProject managementEnterprise resource planningBusiness process managementEnterprise apps/ functionsKnow-your- customer and enhanced due diligenceAudit ComplianceFinancial crime and AMLRisk managementFinance ProcurementMRM (responsible AI)Risk, compliance and auditBusiness intelligence reporting and self-serveSoftware development life cycleData structuring and processingReal-time decision- makingTechnology and data Data governanceDocument and knowledge managementApplication managementEnterprise testingIT engineeringProduct pricing Sales and marketing Onboarding and underwritingAn analysis of the likely impact of generative AI on banking functions FIGURE 3 Source: Accenture. (2024). The age of AI: Banking’s new reality. https://www.accenture.com/content/dam/accenture/final/accenture-com/document-2/Accenture- Age-AI-Banking-New-Reality.pdf. 9Given the impact that AI – and genAI in particular – has on most financial services functions, there has been a surge in the development of industry- specific solutions, both through in-house initiatives and those of technology providers such as OpenAI, Google, Microsoft, Amazon and many others. An examination of the functions at which most investment is directed sheds light on how AI generates value in key areas (see Table 1). Artificial Intelligence in Financial Services 9
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