Chapter 7

Core Banking Use Cases: Complete Coverage

Comprehensive coverage of all core banking use cases from retail banking to lending, payments, cards, and risk management with regulatory requirements.

10 min read

Use Case Coverage

A complete core banking platform must support the full spectrum of banking operations. This chapter provides comprehensive coverage of all major use case categories, their key features, regulatory requirements, and success metrics.

Use Case Framework

For each use case category, we define: Business Process, Key Features, Regulatory Requirements, Integration Points, and Success Metrics. This framework ensures complete coverage and guides product prioritization.

1. Retail Banking

Current Accounts

Use CaseKey FeaturesSuccess Metrics
Account OpeningDigital onboarding, instant creation, video KYC, e-signatureTime to open: under 5 min
Transaction ProcessingReal-time posting, multi-currency, overdraft managementProcessing time: under 100ms
Account ManagementBalance inquiries, statement generation, account closureSelf-service rate: over 90%

Savings Accounts

  • Goal-Based Savings: Customer-defined goals with progress tracking
  • Interest Calculation: Daily accrual, tiered rates, promotional rates
  • Term Deposits: Fixed terms, early withdrawal penalties, auto-renewal
  • Multi-Currency: Hold balances in 30+ currencies with real-time FX
Differentiation Opportunity

Digital-first account opening in under 5 minutes vs. industry average of 2-5 days. Integrated KYC/AML at onboarding reduces compliance burden by 40%.

2. Lending

Loan Products

ProductKey FeaturesSuccess Metrics
Personal LoansUnsecured, fixed/variable rates, 1-7 year termsTime to decision: under 30 sec
Auto LoansSecured, asset valuation, dealer integrationApproval rate: 65-75%
MortgagesResidential/commercial, LTV calculation, property valuationTime to offer: under 48 hours
BNPLPoint-of-sale integration, installment plansConversion: over 15%
Credit CardsVirtual/physical issuance, credit limits, rewardsVirtual issuance: under 2 min

Loan Origination Workflow

  1. Application: Digital capture, document upload, data validation
  2. Identity Verification: KYC checks, fraud screening, watchlist screening
  3. Credit Assessment: Bureau pull, AI/ML scoring, affordability calculation
  4. Decisioning: Auto-approve, auto-decline, or refer to underwriter
  5. Documentation: Contract generation, e-signature, compliance disclosure
  6. Disbursement: Fund transfer, account setup, payment schedule
  7. Servicing: Payment collection, statement generation, customer support
  8. Collections: Arrears management, workout plans, recovery actions
AI/ML Impact

AI-powered credit decisioning delivers 15-20% reduction in defaults while increasing approval rates by 20-30%. End-to-end loan origination in under 24 hours vs. industry average of 3-5 days.

3. Payments

Payment Types

Payment TypeProcessing TimeSuccess Metrics
SEPA Credit TransferD+1 (next business day)STP rate: over 99%
SEPA InstantUnder 10 seconds (24/7/365)Availability: 99.99%
Direct DebitsD+2 to D+5Return rate: under 1%
International (SWIFT)1-5 daysSTP rate: over 95%

4. Card Management

Card Lifecycle

Use CaseKey FeaturesSuccess Metrics
Virtual CardsInstant issuance, Apple/Google Pay ready, disposable cardsIssuance: under 30 sec
Physical CardsCard design, PIN mailer, express deliveryDelivery: 3-5 days
Card ControlsTransaction limits, merchant blocking, geographic controlsFraud reduction: 40%
Dispute ManagementIn-app filing, investigation workflow, provisional creditResolution: under 45 days

5. Risk Management

Credit Risk Scoring

Model TypeUse CaseAccuracy Improvement
Logistic RegressionBaseline scoring, regulatory modelsBaseline
Decision TreesRule-based decisioning, policy limits+5-10%
XGBoostHigh-accuracy scoring+15-20%
Neural NetworksAlternative data, behavioral patterns+20-25%

Fraud Detection

  • Transaction Monitoring: Real-time scoring, behavioral analysis, device fingerprinting
  • Account Takeover: Login monitoring, device recognition, behavioral biometrics
  • Application Fraud: Identity verification, synthetic ID detection, velocity checks
  • Money Mule Detection: Network analysis, transaction patterns, account age

Use Case Prioritization Matrix

For product roadmap planning, prioritize use cases by customer segment:

SegmentPriority 1Priority 2Priority 3
NeobanksAccounts, Payments, CardsSavings, Basic LendingTreasury, Complex Lending
SME LendersLoan Origination, Credit ScoringCollections, ServicingAccounts, Payments
Regional BanksAll Retail BankingLending, ComplianceTreasury, Analytics

Implementation Complexity by Use Case

Not all use cases are equal in implementation effort:

Use CaseComplexityDependenciesRegulatory Burden
Current AccountsMediumKYC, paymentsHigh (PSD2, AML)
Savings AccountsLowInterest engineMedium
Personal LoansHighCredit scoring, collectionsHigh (CCD)
MortgagesVery HighValuation, legal, insuranceVery High
Credit CardsHighCard processor, fraudHigh (PCI-DSS)
SEPA PaymentsMediumSEPA gatewayHigh (PSD2)
International PaymentsHighSWIFT, FX, sanctionsVery High

MVP Use Case Recommendations

For fastest time-to-market, start with:

Neobank MVP

Core: Current accounts, savings accounts, SEPA payments, virtual cards. Timeline: 4-6 months. Regulatory: E-money license or banking license required.

Lending MVP

Core: Personal loans, loan origination, credit scoring, collections. Timeline: 3-5 months. Regulatory: Consumer credit license required.

Key Takeaways
1

Comprehensive coverage is required. Core banking platforms must support retail, lending, payments, cards, risk management, and compliance—partial coverage limits market addressability.

2

Prioritize by segment. Neobanks prioritize accounts and payments; lenders prioritize origination and credit scoring. Build your roadmap around target segment needs.

3

Regulatory requirements are non-negotiable. Every use case has compliance implications. Build regulatory requirements into product design from day one.

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