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

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