Add comprehensive TypeScript workflow functions to DepositIQ MDX

startups/depositiq.mdx

@@ -339,3 +339,374 @@ landingPage:
 
 Industry: Savings Institutions and Other Depository Credit Intermediation
 Service: Next-Best-Action Cross-Sell for Depositors
+
+## Business Workflow Functions
+
+```typescript
+// Core Types
+interface Customer {
+  id: string;
+  demographics: CustomerDemographics;
+  accounts: Account[];
+  digitalBehavior: DigitalBehavior;
+  creditProfile: CreditProfile;
+  preferences: CustomerPreferences;
+  consentStatus: ConsentStatus;
+}
+
+interface Lead {
+  source: string;
+  channel: string;
+  customerData: Partial<Customer>;
+  qualification: LeadQualification;
+}
+
+interface Offer {
+  productType: ProductType;
+  terms: OfferTerms;
+  channel: Channel;
+  compliance: ComplianceCheck;
+  upliftScore: number;
+}
+
+interface Campaign {
+  id: string;
+  audience: CustomerSegment;
+  offers: Offer[];
+  controlGroup: ControlGroup;
+  complianceApproval: ComplianceApproval;
+}
+
+// Customer Acquisition Workflows
+export async function acquireCustomer(lead: Lead): Promise<Customer> {
+  const qualifiedLead = await qualifyLead(lead);
+  const complianceCheck = await performComplianceScreening(qualifiedLead);
+
+  if (!complianceCheck.approved) {
+    throw new Error(`Compliance check failed: ${complianceCheck.reason}`);
+  }
+
+  const proposal = await generateProductProposal(qualifiedLead);
+  const contract = await negotiateContract(proposal);
+  const customer = await onboardCustomer(contract);
+
+  await setupInitialProducts(customer);
+  await enrollInCrossSellingProgram(customer);
+
+  return customer;
+}
+
+export async function qualifyLead(lead: Lead): Promise<QualifiedLead> {
+  const creditScore = await getCreditScore(lead.customerData);
+  const incomeVerification = await verifyIncome(lead.customerData);
+  const riskAssessment = await assessRisk(lead.customerData);
+
+  return {
+    ...lead,
+    creditScore,
+    incomeVerification,
+    riskAssessment,
+    qualificationScore: calculateQualificationScore(creditScore, incomeVerification, riskAssessment)
+  };
+}
+
+export async function performComplianceScreening(lead: QualifiedLead): Promise<ComplianceCheck> {
+  const bsaCheck = await performBSAScreening(lead);
+  const ofacCheck = await performOFACScreening(lead);
+  const cddCheck = await performCDDScreening(lead);
+  const fairLendingCheck = await performFairLendingCheck(lead);
+
+  return {
+    approved: bsaCheck.passed && ofacCheck.passed && cddCheck.passed && fairLendingCheck.passed,
+    checks: { bsaCheck, ofacCheck, cddCheck, fairLendingCheck },
+    reason: getFailureReason([bsaCheck, ofacCheck, cddCheck, fairLendingCheck])
+  };
+}
+
+// Product Development Processes
+export async function developNewProduct(productConcept: ProductConcept): Promise<Product> {
+  const marketResearch = await conductMarketResearch(productConcept);
+  const competitiveAnalysis = await analyzeCompetition(productConcept);
+  const regulatoryReview = await performRegulatoryReview(productConcept);
+
+  const productDesign = await designProduct(productConcept, marketResearch, competitiveAnalysis);
+  const complianceFramework = await buildComplianceFramework(productDesign, regulatoryReview);
+
+  const pilot = await launchPilotProgram(productDesign, complianceFramework);
+  const pilotResults = await analyzePilotResults(pilot);
+
+  if (pilotResults.success) {
+    const finalProduct = await finalizeProduct(productDesign, pilotResults.feedback);
+    await obtainRegulatoryApproval(finalProduct);
+    return await launchProduct(finalProduct);
+  } else {
+    throw new Error(`Pilot failed: ${pilotResults.failureReason}`);
+  }
+}
+
+export async function optimizeProductOffering(product: Product, performanceData: ProductPerformance): Promise<Product> {
+  const upliftAnalysis = await analyzeUpliftPerformance(performanceData);
+  const customerFeedback = await collectCustomerFeedback(product);
+  const competitorBenchmark = await benchmarkAgainstCompetitors(product);
+
+  const optimizationRecommendations = await generateOptimizationRecommendations(
+    upliftAnalysis,
+    customerFeedback,
+    competitorBenchmark
+  );
+
+  const updatedProduct = await implementOptimizations(product, optimizationRecommendations);
+  await validateComplianceAfterChanges(updatedProduct);
+
+  return updatedProduct;
+}
+
+// Revenue Generation Flows
+export async function generateRevenue(customer: Customer): Promise<RevenueResult> {
+  const crossSellOpportunities = await identifyCrossSellOpportunities(customer);
+  const nextBestAction = await determineNextBestAction(customer, crossSellOpportunities);
+
+  if (nextBestAction.offer) {
+    const deliveryResult = await deliverOffer(customer, nextBestAction.offer);
+    const conversionResult = await trackConversion(deliveryResult);
+
+    if (conversionResult.converted) {
+      const revenue = await calculateRevenue(conversionResult);
+      await updateCustomerValue(customer, revenue);
+      return { success: true, revenue, conversionResult };
+    }
+  }
+
+  return { success: false, reason: 'No suitable offer or conversion failed' };
+}
+
+export async function identifyCrossSellOpportunities(customer: Customer): Promise<CrossSellOpportunity[]> {
+  const propensityScores = await calculateProductPropensities(customer);
+  const eligibilityChecks = await checkProductEligibility(customer);
+  const upliftPredictions = await predictOfferUplift(customer);
+
+  const opportunities = propensityScores
+    .filter(score => eligibilityChecks[score.productType].eligible)
+    .map(score => ({
+      productType: score.productType,
+      propensityScore: score.score,
+      upliftScore: upliftPredictions[score.productType],
+      eligibility: eligibilityChecks[score.productType]
+    }))
+    .sort((a, b) => b.upliftScore - a.upliftScore);
+
+  return opportunities;
+}
+
+export async function determineNextBestAction(
+  customer: Customer,
+  opportunities: CrossSellOpportunity[]
+): Promise<NextBestAction> {
+  const contactHistory = await getContactHistory(customer);
+  const channelPreferences = await getChannelPreferences(customer);
+  const complianceConstraints = await getComplianceConstraints(customer);
+
+  const filteredOpportunities = await applyContactFrequencyRules(opportunities, contactHistory);
+  const channelOptimizedOffers = await optimizeForChannel(filteredOpportunities, channelPreferences);
+  const compliantOffers = await filterForCompliance(channelOptimizedOffers, complianceConstraints);
+
+  if (compliantOffers.length === 0) {
+    return { action: 'no-contact', reason: 'No compliant opportunities available' };
+  }
+
+  const bestOffer = compliantOffers[0];
+  const offer = await generateOffer(customer, bestOffer);
+  const optimalChannel = await selectOptimalChannel(customer, offer);
+
+  return {
+    action: 'make-offer',
+    offer,
+    channel: optimalChannel,
+    expectedUplift: bestOffer.upliftScore
+  };
+}
+
+// Operational Procedures
+export async function processRealTimeDecision(
+  customerId: string,
+  context: DecisionContext
+): Promise<RealTimeDecision> {
+  const startTime = Date.now();
+
+  try {
+    const customer = await getCustomerData(customerId);
+    const eligibleProducts = await checkRealTimeEligibility(customer, context);
+
+    if (eligibleProducts.length === 0) {
+      return {
+        decision: 'no-offer',
+        latency: Date.now() - startTime,
+        reason: 'No eligible products'
+      };
+    }
+
+    const upliftScores = await calculateRealTimeUplift(customer, eligibleProducts, context);
+    const complianceCheck = await performRealTimeComplianceCheck(customer, upliftScores);
+
+    if (!complianceCheck.approved) {
+      return {
+        decision: 'no-offer',
+        latency: Date.now() - startTime,
+        reason: complianceCheck.reason
+      };
+    }
+
+    const bestOffer = upliftScores[0];
+    const offer = await generateRealTimeOffer(customer, bestOffer, context);
+
+    await logDecision(customerId, offer, context, Date.now() - startTime);
+
+    return {
+      decision: 'make-offer',
+      offer,
+      latency: Date.now() - startTime,
+      confidence: bestOffer.confidence
+    };
+  } catch (error) {
+    await logError(customerId, error, context);
+    return {
+      decision: 'error',
+      latency: Date.now() - startTime,
+      error: error.message
+    };
+  }
+}
+
+export async function executeBatchCampaign(campaign: Campaign): Promise<CampaignResult> {
+  const audienceSize = campaign.audience.size;
+  const controlGroupSize = Math.floor(audienceSize * campaign.controlGroup.percentage);
+  const treatmentGroupSize = audienceSize - controlGroupSize;
+
+  const controlGroup = await selectControlGroup(campaign.audience, controlGroupSize);
+  const treatmentGroup = await selectTreatmentGroup(campaign.audience, controlGroup);
+
+  const complianceApproval = await validateCampaignCompliance(campaign);
+  if (!complianceApproval.approved) {
+    throw new Error(`Campaign compliance failed: ${complianceApproval.reason}`);
+  }
+
+  const deliveryResults = await deliverCampaignOffers(treatmentGroup, campaign.offers);
+  const conversionTracking = await trackCampaignConversions(deliveryResults);
+
+  const incrementalityResults = await measureIncrementality(
+    treatmentGroup,
+    controlGroup,
+    conversionTracking
+  );
+
+  return {
+    campaignId: campaign.id,
+    audienceSize,
+    treatmentGroupSize,
+    controlGroupSize,
+    deliveryResults,
+    conversionResults: conversionTracking,
+    incrementalityResults,
+    roi: calculateCampaignROI(incrementalityResults, campaign.costs)
+  };
+}
+
+// Decision-Making Workflows
+export async function makeComplianceDecision(
+  decision: PendingDecision,
+  context: ComplianceContext
+): Promise<ComplianceDecision> {
+  const regulatoryRequirements = await getRegulatoryRequirements(decision.type);
+  const riskAssessment = await assessComplianceRisk(decision, context);
+  const precedentAnalysis = await analyzePrecedents(decision);
+
+  const complianceScore = await calculateComplianceScore(
+    decision,
+    regulatoryRequirements,
+    riskAssessment,
+    precedentAnalysis
+  );
+
+  if (complianceScore.score >= COMPLIANCE_THRESHOLD) {
+    const approval = await generateComplianceApproval(decision, complianceScore);
+    await logComplianceDecision(decision, approval, 'approved');
+    return { approved: true, approval, score: complianceScore };
+  } else {
+    const rejection = await generateComplianceRejection(decision, complianceScore);
+    await logComplianceDecision(decision, rejection, 'rejected');
+    return { approved: false, rejection, score: complianceScore };
+  }
+}
+
+export async function optimizeModelPerformance(
+  model: MLModel,
+  performanceData: ModelPerformance
+): Promise<OptimizedModel> {
+  const driftAnalysis = await analyzeDrift(model, performanceData);
+  const fairnessMetrics = await calculateFairnessMetrics(model, performanceData);
+  const performanceMetrics = await calculatePerformanceMetrics(performanceData);
+
+  if (driftAnalysis.driftDetected || fairnessMetrics.biasDetected || performanceMetrics.degraded) {
+    const retrainingData = await prepareRetrainingData(model, performanceData);
+    const retrainedModel = await retrainModel(model, retrainingData);
+
+    const validationResults = await validateModel(retrainedModel);
+    if (validationResults.passed) {
+      const championChallengerTest = await runChampionChallengerTest(model, retrainedModel);
+
+      if (championChallengerTest.challengerWins) {
+        await deployModel(retrainedModel);
+        await archiveModel(model);
+        return retrainedModel;
+      }
+    }
+  }
+
+  return model;
+}
+
+export async function manageExperiment(experiment: Experiment): Promise<ExperimentResult> {
+  const experimentSetup = await setupExperiment(experiment);
+  const participantAllocation = await allocateParticipants(experimentSetup);
+
+  const treatmentDelivery = await deliverTreatments(participantAllocation.treatmentGroups);
+  const controlMonitoring = await monitorControlGroups(participantAllocation.controlGroups);
+
+  const dataCollection = await collectExperimentData(experiment, treatmentDelivery, controlMonitoring);
+  const statisticalAnalysis = await performStatisticalAnalysis(dataCollection);
+
+  const significanceTest = await testSignificance(statisticalAnalysis);
+  const incrementalityMeasurement = await measureIncrementality(statisticalAnalysis);
+
+  const result = {
+    experimentId: experiment.id,
+    duration: experiment.duration,
+    participants: participantAllocation.totalParticipants,
+    treatments: treatmentDelivery.results,
+    controls: controlMonitoring.results,
+    statisticalSignificance: significanceTest,
+    incrementalLift: incrementalityMeasurement,
+    recommendation: generateExperimentRecommendation(significanceTest, incrementalityMeasurement)
+  };
+
+  await archiveExperiment(experiment, result);
+  return result;
+}
+
+// Helper function declarations (these would be implemented separately)
+declare function getCreditScore(customerData: Partial<Customer>): Promise<number>;
+declare function verifyIncome(customerData: Partial<Customer>): Promise<IncomeVerification>;
+declare function assessRisk(customerData: Partial<Customer>): Promise<RiskAssessment>;
+declare function calculateQualificationScore(credit: number, income: IncomeVerification, risk: RiskAssessment): number;
+declare function performBSAScreening(lead: QualifiedLead): Promise<ScreeningResult>;
+declare function performOFACScreening(lead: QualifiedLead): Promise<ScreeningResult>;
+declare function performCDDScreening(lead: QualifiedLead): Promise<ScreeningResult>;
+declare function performFairLendingCheck(lead: QualifiedLead): Promise<ScreeningResult>;
+declare function getFailureReason(checks: ScreeningResult[]): string;
+declare function conductMarketResearch(concept: ProductConcept): Promise<MarketResearch>;
+declare function analyzeCompetition(concept: ProductConcept): Promise<CompetitiveAnalysis>;
+declare function performRegulatoryReview(concept: ProductConcept): Promise<RegulatoryReview>;
+
+// Constants
+const COMPLIANCE_THRESHOLD = 0.8;
+```