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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