Banking Workflows - AI Agents House SDK

This guide provides detailed patterns and best practices for implementing AI agent workflows specific to banking and financial services, with built-in compliance monitoring and risk management.

Core Banking Workflows

Customer Onboarding

Automated customer onboarding with KYC (Know Your Customer) compliance:

class CustomerOnboardingWorkflow {
  constructor(monitor) {
    this.monitor = monitor;
    this.agentId = 'onboarding-agent';
  }

  async processNewCustomer(customerData, sessionId) {
    try {
      this.monitor.trackConversationStart(this.agentId, sessionId, null, {
        workflowType: 'customer_onboarding',
        customerType: customerData.type,
        channel: customerData.channel
      });

      // Step 1: Identity Verification
      const identityResult = await this.verifyIdentity(customerData, sessionId);

      // Step 2: KYC Compliance Check
      const kycResult = await this.performKYCCheck(customerData, sessionId);

      // Step 3: Risk Assessment
      const riskResult = await this.assessCustomerRisk(customerData, sessionId);

      // Step 4: Account Setup
      if (identityResult.verified && kycResult.compliant && riskResult.acceptable) {
        const accountResult = await this.createCustomerAccount(customerData, sessionId);

        this.monitor.trackConversationEnd(this.agentId, sessionId, {
          duration: 300000, // 5 minutes
          messageCount: 8,
          resolutionStatus: 'resolved',
          workflowOutcome: 'account_created',
          customerRiskLevel: riskResult.level
        });

        return { success: true, accountId: accountResult.accountId };
      } else {
        // Handle rejection or additional verification needed
        return await this.handleOnboardingIssues(
          customerData,
          sessionId,
          { identityResult, kycResult, riskResult }
        );
      }

    } catch (error) {
      this.monitor.trackError(this.agentId, sessionId, error, {
        errorType: 'OnboardingWorkflowError',
        severity: 'high',
        stage: 'customer_onboarding'
      });
      throw error;
    }
  }

  async verifyIdentity(customerData, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'verify_identity',
      {
        ssn: customerData.ssn,
        driversLicense: customerData.driversLicense,
        address: customerData.address,
        dateOfBirth: customerData.dateOfBirth
      },
      {
        verified: true,
        identityScore: 95,
        documentsValid: true,
        addressVerified: true
      },
      2500
    );

    return { verified: true, score: 95 };
  }

  async performKYCCheck(customerData, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'kyc_compliance_check',
      {
        fullName: customerData.fullName,
        ssn: customerData.ssn,
        address: customerData.address,
        occupation: customerData.occupation,
        sourceOfFunds: customerData.sourceOfFunds
      },
      {
        compliant: true,
        watchlistMatch: false,
        pepCheck: false, // Politically Exposed Person
        sanctionsMatch: false,
        riskRating: 'low'
      },
      3200
    );

    return { compliant: true, riskRating: 'low' };
  }

  async assessCustomerRisk(customerData, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'assess_customer_risk',
      {
        creditScore: customerData.creditScore,
        income: customerData.income,
        occupation: customerData.occupation,
        accountType: customerData.requestedAccountType,
        initialDeposit: customerData.initialDeposit
      },
      {
        riskLevel: 'medium',
        riskScore: 45,
        factors: ['new_customer', 'moderate_income'],
        recommendedLimits: {
          dailyWithdrawal: 1000,
          monthlyTransfer: 10000
        }
      },
      1800
    );

    return { acceptable: true, level: 'medium', score: 45 };
  }
}

Transaction Processing

Real-time transaction processing with fraud detection:

class TransactionProcessingWorkflow {
  constructor(monitor) {
    this.monitor = monitor;
    this.agentId = 'transaction-processor';
  }

  async processTransaction(transaction, sessionId) {
    try {
      this.monitor.trackConversationStart(this.agentId, sessionId, transaction.customerId, {
        transactionType: transaction.type,
        amount: transaction.amount,
        merchant: transaction.merchant
      });

      // Step 1: Pre-transaction Validation
      const validationResult = await this.validateTransaction(transaction, sessionId);

      if (!validationResult.valid) {
        return await this.rejectTransaction(transaction, sessionId, validationResult.reason);
      }

      // Step 2: Fraud Detection
      const fraudResult = await this.detectFraud(transaction, sessionId);

      if (fraudResult.flagged) {
        return await this.handleFraudDetection(transaction, sessionId, fraudResult);
      }

      // Step 3: Balance Check and Authorization
      const authResult = await this.authorizeTransaction(transaction, sessionId);

      if (!authResult.authorized) {
        return await this.rejectTransaction(transaction, sessionId, authResult.reason);
      }

      // Step 4: Execute Transaction
      const executionResult = await this.executeTransaction(transaction, sessionId);

      // Step 5: Post-transaction Processing
      await this.postTransactionProcessing(transaction, sessionId, executionResult);

      this.monitor.trackConversationEnd(this.agentId, sessionId, {
        duration: 1500, // Fast transaction processing
        messageCount: 1,
        resolutionStatus: 'resolved',
        transactionOutcome: 'completed',
        amount: transaction.amount
      });

      return { success: true, transactionId: executionResult.transactionId };

    } catch (error) {
      this.monitor.trackError(this.agentId, sessionId, error, {
        errorType: 'TransactionProcessingError',
        severity: 'critical',
        transactionId: transaction.id,
        amount: transaction.amount
      });

      return { success: false, error: error.message };
    }
  }

  async validateTransaction(transaction, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'validate_transaction',
      {
        customerId: transaction.customerId,
        amount: transaction.amount,
        accountId: transaction.accountId,
        transactionType: transaction.type
      },
      {
        valid: true,
        accountActive: true,
        sufficientFunds: true,
        limitsOk: true
      },
      150
    );

    return { valid: true };
  }

  async detectFraud(transaction, sessionId) {
    // Calculate fraud risk score
    const riskScore = this.calculateFraudRisk(transaction);

    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'detect_fraud',
      {
        transactionId: transaction.id,
        customerId: transaction.customerId,
        amount: transaction.amount,
        merchant: transaction.merchant,
        location: transaction.location,
        timestamp: transaction.timestamp
      },
      {
        riskScore: riskScore,
        flagged: riskScore > 75,
        riskFactors: this.identifyRiskFactors(transaction, riskScore),
        recommendation: riskScore > 75 ? 'block' : 'allow'
      },
      300
    );

    return {
      flagged: riskScore > 75,
      riskScore: riskScore,
      factors: this.identifyRiskFactors(transaction, riskScore)
    };
  }

  calculateFraudRisk(transaction) {
    let score = 0;

    // Amount-based risk
    if (transaction.amount > 5000) score += 25;
    if (transaction.amount > 10000) score += 35;

    // Location-based risk
    if (transaction.location !== transaction.customerLocation) score += 20;

    // Time-based risk
    const hour = new Date(transaction.timestamp).getHours();
    if (hour < 6 || hour > 22) score += 15;

    // Merchant risk
    if (this.isHighRiskMerchant(transaction.merchant)) score += 30;

    return Math.min(score, 100);
  }

  identifyRiskFactors(transaction, riskScore) {
    const factors = [];
    if (transaction.amount > 5000) factors.push('high_amount');
    if (transaction.location !== transaction.customerLocation) factors.push('unusual_location');
    if (this.isHighRiskMerchant(transaction.merchant)) factors.push('high_risk_merchant');
    return factors;
  }

  isHighRiskMerchant(merchant) {
    const highRiskCategories = ['gambling', 'cryptocurrency', 'money_transfer'];
    return highRiskCategories.some(cat => merchant.toLowerCase().includes(cat));
  }
}

Credit Application Processing

Complete credit application workflow with fair lending compliance:

class CreditApplicationWorkflow {
  constructor(monitor) {
    this.monitor = monitor;
    this.agentId = 'credit-application-agent';
  }

  async processCreditApplication(application, sessionId) {
    try {
      this.monitor.trackConversationStart(this.agentId, sessionId, application.customerId, {
        applicationType: 'credit_application',
        requestedAmount: application.requestedAmount,
        creditType: application.creditType,
        applicantIncome: application.income
      });

      // Step 1: Application Completeness Check
      const completenessResult = await this.validateApplicationCompleteness(application, sessionId);

      if (!completenessResult.complete) {
        return await this.requestAdditionalInfo(application, sessionId, completenessResult.missingFields);
      }

      // Step 2: Credit Bureau Check
      const creditResult = await this.performCreditCheck(application, sessionId);

      // Step 3: Income Verification
      const incomeResult = await this.verifyIncome(application, sessionId);

      // Step 4: Debt-to-Income Analysis
      const dtiResult = await this.calculateDebtToIncome(application, sessionId, creditResult);

      // Step 5: Fair Lending Compliance Check
      const fairLendingResult = await this.checkFairLending(application, sessionId);

      // Step 6: Credit Decision
      const decision = await this.makeCreditDecision(
        application,
        sessionId,
        { creditResult, incomeResult, dtiResult, fairLendingResult }
      );

      // Step 7: Document Decision with Adverse Action Notice if needed
      if (!decision.approved) {
        await this.generateAdverseActionNotice(application, sessionId, decision);
      }

      this.monitor.trackConversationEnd(this.agentId, sessionId, {
        duration: 420000, // 7 minutes for credit decision
        messageCount: 12,
        resolutionStatus: decision.approved ? 'approved' : 'declined',
        creditDecision: decision.approved,
        requestedAmount: application.requestedAmount,
        approvedAmount: decision.approvedAmount || 0
      });

      return decision;

    } catch (error) {
      this.monitor.trackError(this.agentId, sessionId, error, {
        errorType: 'CreditApplicationError',
        severity: 'high',
        applicantId: application.customerId,
        creditType: application.creditType
      });
      throw error;
    }
  }

  async performCreditCheck(application, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'credit_bureau_check',
      {
        ssn: application.ssn,
        customerId: application.customerId,
        requestType: 'full_report'
      },
      {
        creditScore: 720,
        creditHistory: {
          accounts: 8,
          oldestAccount: 84, // months
          avgAccountAge: 36,
          totalCredit: 45000,
          utilization: 0.25
        },
        paymentHistory: 0.96,
        derogatory: 0,
        inquiries: 2
      },
      3500
    );

    return {
      score: 720,
      grade: 'good',
      qualifiesForCredit: true
    };
  }

  async checkFairLending(application, sessionId) {
    // Ensure fair lending compliance by checking for prohibited factors
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'fair_lending_check',
      {
        applicantData: {
          income: application.income,
          creditScore: 720,
          employment: application.employment,
          requestedAmount: application.requestedAmount,
          // Note: Race, gender, religion, etc. should NOT be included
        },
        decisionFactors: ['income', 'credit_score', 'employment_history', 'debt_to_income']
      },
      {
        compliant: true,
        prohibitedFactorsUsed: false,
        decisionBasisValid: true,
        documentationComplete: true
      },
      800
    );

    return { compliant: true, valid: true };
  }

  async makeCreditDecision(application, sessionId, analysisResults) {
    const { creditResult, incomeResult, dtiResult, fairLendingResult } = analysisResults;

    // AI-assisted decision making with compliance
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'make_credit_decision',
      {
        creditScore: creditResult.score,
        income: incomeResult.verifiedIncome,
        debtToIncome: dtiResult.ratio,
        requestedAmount: application.requestedAmount,
        fairLendingCompliant: fairLendingResult.compliant
      },
      {
        approved: creditResult.score >= 680 && dtiResult.ratio <= 0.43,
        approvedAmount: Math.min(application.requestedAmount, incomeResult.verifiedIncome * 0.3),
        interestRate: this.calculateInterestRate(creditResult.score),
        terms: 60, // months
        reasonCodes: creditResult.score < 680 ? ['credit_score'] : []
      },
      1200
    );

    const approved = creditResult.score >= 680 && dtiResult.ratio <= 0.43;

    return {
      approved: approved,
      approvedAmount: approved ? Math.min(application.requestedAmount, incomeResult.verifiedIncome * 0.3) : 0,
      interestRate: approved ? this.calculateInterestRate(creditResult.score) : null,
      terms: approved ? 60 : null,
      reasonCodes: !approved ? this.getDeclineReasons(creditResult, dtiResult) : [],
      decisionDate: new Date().toISOString()
    };
  }

  calculateInterestRate(creditScore) {
    if (creditScore >= 750) return 6.99;
    if (creditScore >= 700) return 8.99;
    if (creditScore >= 650) return 12.99;
    return 16.99;
  }

  getDeclineReasons(creditResult, dtiResult) {
    const reasons = [];
    if (creditResult.score < 680) reasons.push('insufficient_credit_history');
    if (dtiResult.ratio > 0.43) reasons.push('excessive_debt_obligations');
    return reasons;
  }
}

Account Management Workflows

Comprehensive account management with compliance tracking:

class AccountManagementWorkflow {
  constructor(monitor) {
    this.monitor = monitor;
    this.agentId = 'account-management-agent';
  }

  async handleAccountInquiry(customerId, inquiryType, details, sessionId) {
    try {
      this.monitor.trackConversationStart(this.agentId, sessionId, customerId, {
        inquiryType: inquiryType,
        channel: details.channel,
        customerTier: details.customerTier
      });

      switch (inquiryType) {
        case 'balance_inquiry':
          return await this.processBalanceInquiry(customerId, sessionId, details);

        case 'transaction_history':
          return await this.processTransactionHistory(customerId, sessionId, details);

        case 'account_closure':
          return await this.processAccountClosure(customerId, sessionId, details);

        case 'dispute_transaction':
          return await this.processTransactionDispute(customerId, sessionId, details);

        case 'update_information':
          return await this.processInformationUpdate(customerId, sessionId, details);

        default:
          throw new Error(`Unknown inquiry type: ${inquiryType}`);
      }

    } catch (error) {
      this.monitor.trackError(this.agentId, sessionId, error, {
        errorType: 'AccountManagementError',
        inquiryType: inquiryType,
        customerId: customerId
      });
      throw error;
    }
  }

  async processBalanceInquiry(customerId, sessionId, details) {
    // Verify customer identity first
    const identityResult = await this.verifyCustomerIdentity(customerId, sessionId, details);

    if (!identityResult.verified) {
      this.monitor.trackConversationEnd(this.agentId, sessionId, {
        duration: 30000,
        resolutionStatus: 'unresolved',
        endReason: 'identity_verification_failed'
      });
      return { error: 'Identity verification failed' };
    }

    // Retrieve account information
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'get_account_balance',
      {
        customerId: customerId,
        accountType: details.accountType || 'all',
        includeAvailableCredit: true
      },
      {
        checkingBalance: 2547.83,
        savingsBalance: 15420.50,
        creditCardBalance: 1250.75,
        availableCredit: 8749.25,
        lastUpdate: new Date().toISOString()
      },
      450
    );

    this.monitor.trackConversationEnd(this.agentId, sessionId, {
      duration: 45000,
      messageCount: 3,
      resolutionStatus: 'resolved',
      inquiryType: 'balance_inquiry'
    });

    return {
      success: true,
      balances: {
        checking: 2547.83,
        savings: 15420.50,
        creditCard: 1250.75
      }
    };
  }

  async processTransactionDispute(customerId, sessionId, details) {
    // High-priority workflow for transaction disputes
    this.monitor.trackUserMessage(this.agentId, sessionId,
      `Customer disputes transaction: ${details.transactionId}`, customerId);

    // Retrieve transaction details
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'get_transaction_details',
      {
        transactionId: details.transactionId,
        customerId: customerId
      },
      {
        transactionId: details.transactionId,
        amount: details.amount,
        merchant: details.merchant,
        date: details.date,
        disputeEligible: true,
        provisionalCredit: details.amount <= 500
      },
      600
    );

    // Create dispute case
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'create_dispute_case',
      {
        transactionId: details.transactionId,
        customerId: customerId,
        disputeReason: details.reason,
        amount: details.amount,
        supportingDocuments: details.documents || []
      },
      {
        disputeId: `DISPUTE-${Date.now()}`,
        status: 'under_investigation',
        provisionalCreditIssued: details.amount <= 500,
        estimatedResolution: 10, // business days
        nextAction: 'merchant_notification'
      },
      1200
    );

    this.monitor.trackAgentResponse(
      this.agentId,
      sessionId,
      `Dispute case DISPUTE-${Date.now()} has been created for transaction ${details.transactionId}. ${details.amount <= 500 ? 'Provisional credit has been issued.' : 'Investigation will be completed within 10 business days.'}`,
      {
        disputeCreated: true,
        provisionalCredit: details.amount <= 500,
        highPriority: details.amount > 1000
      }
    );

    this.monitor.trackConversationEnd(this.agentId, sessionId, {
      duration: 300000, // 5 minutes for dispute creation
      messageCount: 8,
      resolutionStatus: 'escalated',
      disputeCreated: true,
      amount: details.amount
    });

    return {
      success: true,
      disputeId: `DISPUTE-${Date.now()}`,
      provisionalCredit: details.amount <= 500
    };
  }

  async verifyCustomerIdentity(customerId, sessionId, details) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'verify_customer_identity',
      {
        customerId: customerId,
        verificationMethod: details.verificationMethod || 'security_questions',
        channel: details.channel,
        deviceFingerprint: details.deviceFingerprint
      },
      {
        verified: true,
        verificationScore: 95,
        method: 'security_questions',
        riskLevel: 'low'
      },
      800
    );

    return { verified: true, score: 95 };
  }
}

Compliance Monitoring Workflows

Specialized workflows for regulatory compliance:

class ComplianceMonitoringWorkflow {
  constructor(monitor) {
    this.monitor = monitor;
    this.agentId = 'compliance-monitor';
  }

  async monitorForBSAAML(interactions, sessionId) {
    // Monitor for Bank Secrecy Act / Anti-Money Laundering compliance
    this.monitor.trackConversationStart(this.agentId, sessionId, 'system', {
      monitoringType: 'bsa_aml',
      interactionCount: interactions.length,
      automated: true
    });

    for (const interaction of interactions) {
      const suspiciousActivity = await this.detectSuspiciousActivity(interaction, sessionId);

      if (suspiciousActivity.detected) {
        await this.generateSARAlert(interaction, sessionId, suspiciousActivity);
      }
    }

    this.monitor.trackConversationEnd(this.agentId, sessionId, {
      duration: 60000,
      resolutionStatus: 'completed',
      alertsGenerated: interactions.filter(i => i.suspicious).length
    });
  }

  async detectSuspiciousActivity(interaction, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'analyze_suspicious_activity',
      {
        transactionAmount: interaction.amount,
        transactionPattern: interaction.pattern,
        customerProfile: interaction.customerProfile,
        frequency: interaction.frequency,
        cashActivity: interaction.cashActivity
      },
      {
        suspiciousActivityScore: 75,
        indicators: ['large_cash_deposits', 'structuring_pattern', 'unusual_frequency'],
        requiresSAR: true,
        confidence: 0.85
      },
      1500
    );

    return {
      detected: true,
      score: 75,
      indicators: ['large_cash_deposits', 'structuring_pattern'],
      requiresSAR: true
    };
  }

  async generateSARAlert(interaction, sessionId, suspiciousActivity) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'generate_sar_alert',
      {
        customerId: interaction.customerId,
        transactionData: interaction,
        suspiciousIndicators: suspiciousActivity.indicators,
        analysisScore: suspiciousActivity.score
      },
      {
        sarId: `SAR-${Date.now()}`,
        priority: 'high',
        assignedTo: 'compliance_team',
        dueDate: new Date(Date.now() + 30 * 24 * 60 * 60 * 1000).toISOString(),
        status: 'pending_review'
      },
      2000
    );

    this.monitor.track(this.agentId, {
      sessionId: sessionId,
      interactionType: 'compliance_violation',
      metadata: {
        violationType: 'bsa_aml',
        severity: 'violation',
        description: 'Suspicious activity requiring SAR filing',
        sarId: `SAR-${Date.now()}`,
        indicators: suspiciousActivity.indicators,
        riskScore: suspiciousActivity.score
      }
    });
  }

  async monitorFairLending(lendingDecisions, sessionId) {
    this.monitor.trackConversationStart(this.agentId, sessionId, 'system', {
      monitoringType: 'fair_lending',
      decisionCount: lendingDecisions.length,
      automated: true
    });

    const analysisResults = [];

    for (const decision of lendingDecisions) {
      const fairnessAnalysis = await this.analyzeLendingFairness(decision, sessionId);
      analysisResults.push(fairnessAnalysis);

      if (fairnessAnalysis.concernsDetected) {
        await this.flagLendingConcern(decision, sessionId, fairnessAnalysis);
      }
    }

    // Generate fair lending report
    await this.generateFairLendingReport(analysisResults, sessionId);

    this.monitor.trackConversationEnd(this.agentId, sessionId, {
      duration: 180000,
      resolutionStatus: 'completed',
      decisionsAnalyzed: lendingDecisions.length,
      concernsFound: analysisResults.filter(r => r.concernsDetected).length
    });
  }

  async analyzeLendingFairness(decision, sessionId) {
    this.monitor.trackToolCall(
      this.agentId,
      sessionId,
      'analyze_lending_fairness',
      {
        applicantData: {
          income: decision.income,
          creditScore: decision.creditScore,
          employment: decision.employment,
          requestedAmount: decision.requestedAmount
        },
        decisionOutcome: decision.approved,
        decisionFactors: decision.factors,
        interestRate: decision.interestRate
      },
      {
        fairnessScore: 92,
        concernsDetected: false,
        disparateImpact: false,
        reasonCodesAppropriate: true,
        decisionConsistent: true
      },
      1000
    );

    return {
      fairnessScore: 92,
      concernsDetected: false,
      decision: decision
    };
  }

  async flagLendingConcern(decision, sessionId, analysis) {
    this.monitor.track(this.agentId, {
      sessionId: sessionId,
      interactionType: 'compliance_violation',
      metadata: {
        violationType: 'fair_lending',
        severity: 'warning',
        description: 'Potential fair lending concern detected',
        applicantId: decision.applicantId,
        fairnessScore: analysis.fairnessScore,
        concerns: analysis.concerns
      }
    });
  }
}

Workflow Orchestration

Managing complex multi-step workflows:

class WorkflowOrchestrator {
  constructor(monitor) {
    this.monitor = monitor;
    this.workflows = new Map();
    this.agentId = 'workflow-orchestrator';
  }

  async executeWorkflow(workflowType, data, sessionId) {
    const workflow = this.getWorkflow(workflowType);

    this.monitor.trackConversationStart(this.agentId, sessionId, data.customerId, {
      workflowType: workflowType,
      orchestrated: true,
      estimatedDuration: workflow.estimatedDuration
    });

    try {
      const result = await workflow.execute(data, sessionId);

      this.monitor.trackConversationEnd(this.agentId, sessionId, {
        duration: result.actualDuration,
        resolutionStatus: result.success ? 'resolved' : 'failed',
        workflowType: workflowType,
        stepsCompleted: result.stepsCompleted
      });

      return result;

    } catch (error) {
      this.monitor.trackError(this.agentId, sessionId, error, {
        errorType: 'WorkflowOrchestrationError',
        workflowType: workflowType,
        stage: 'execution'
      });
      throw error;
    }
  }

  registerWorkflow(workflowType, workflow) {
    this.workflows.set(workflowType, workflow);
  }

  getWorkflow(workflowType) {
    const workflow = this.workflows.get(workflowType);
    if (!workflow) {
      throw new Error(`Unknown workflow type: ${workflowType}`);
    }
    return workflow;
  }
}

// Example usage
async function setupBankingWorkflows() {
  const monitor = new AgentMonitor({
    apiKey: process.env.AGENT_GOVERNANCE_API_KEY,
    organizationId: process.env.AGENT_GOVERNANCE_ORG_ID,
    enableComplianceChecks: true
  });

  const orchestrator = new WorkflowOrchestrator(monitor);

  // Register workflows
  orchestrator.registerWorkflow('customer_onboarding', new CustomerOnboardingWorkflow(monitor));
  orchestrator.registerWorkflow('transaction_processing', new TransactionProcessingWorkflow(monitor));
  orchestrator.registerWorkflow('credit_application', new CreditApplicationWorkflow(monitor));
  orchestrator.registerWorkflow('account_management', new AccountManagementWorkflow(monitor));

  return { orchestrator, monitor };
}

Best Practices for Banking Workflows

Security and Authentication

Always verify customer identity before accessing account information
Use multi-factor authentication for high-risk operations
Log all access attempts and authentication events
Implement session timeouts and re-authentication for sensitive operations

Compliance Monitoring

Track all decision factors for lending and credit decisions
Monitor for fair lending compliance in real-time
Generate audit trails for all customer interactions
Implement automated BSA/AML suspicious activity detection

Error Handling and Recovery

Implement graceful degradation for system failures
Provide clear error messages without exposing sensitive information
Log all errors with sufficient context for debugging
Have fallback procedures for critical banking operations

Performance and Scalability

Use asynchronous processing for non-critical operations
Implement caching for frequently accessed data
Monitor response times and set appropriate SLAs
Scale workflows based on transaction volume

Regulatory Considerations

Banking workflows must comply with numerous regulations including:

Fair Credit Reporting Act (FCRA): Proper use of credit information
Equal Credit Opportunity Act (ECOA): Non-discriminatory lending practices
Bank Secrecy Act (BSA): Anti-money laundering compliance
Regulation E: Electronic fund transfer protections
Regulation Z: Truth in lending disclosures

Always consult with legal and compliance teams when implementing banking AI workflows.

Next Steps

Compliance Monitoring

Detailed compliance detection examples

Testing Banking Workflows

Testing strategies for banking applications

Performance Optimization

Optimize workflows for high-volume scenarios

Deployment Guide

Deploy banking workflows to production

​Core Banking Workflows

​Customer Onboarding

​Transaction Processing

​Credit Application Processing

​Account Management Workflows

​Compliance Monitoring Workflows

​Workflow Orchestration

​Best Practices for Banking Workflows

​Regulatory Considerations

​Next Steps

Compliance Monitoring

Testing Banking Workflows

Performance Optimization

Deployment Guide

Core Banking Workflows

Customer Onboarding

Transaction Processing

Credit Application Processing

Account Management Workflows

Compliance Monitoring Workflows

Workflow Orchestration

Best Practices for Banking Workflows

Regulatory Considerations

Next Steps