EarCodeX — Enterprise Insurance Architecture & AI Claims Workflow System

Cloud Architecture · AI Systems · Insurance Operations · Infrastructure as Code

Live Public Platform: https://earcodex.vercel.app/
Primary Cloud Environment: Amazon Web Services (AWS) + Terraform (IaC)
Practice: N.White Systems — Principal Technology Architect & AI Systems Engineer

Figure 1: My enterprise assurance, claims automation, and insurance operating architecture for EarCodeX.

Figure 2: EarCodeX public interface demonstration.

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Executive Architectural Summary

I architected and engineered EarCodeX as an enterprise assurance, insurance administration, and AI claims automation system designed to modernise regulated insurance operations.

Rather than a surface-level interface, I built EarCodeX as a complete systems-architecture model connecting: ``` Business Problem → Enterprise Architecture → AWS Cloud Infrastructure → AI Document Intelligence → Claims Automation → Reconciliation → Production Playout ```

I designed the system to solve the critical operational bottlenecks of high-volume financial services: broker and member onboarding, document verification, multi-stage claims adjudication, automated financial reconciliation, compliance monitoring, and immutable audit logging.

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🏛️ My Core Architecture Principles

1. AWS Cloud Foundation: I built the environment on scalable Amazon Web Services infrastructure using Terraform (Infrastructure as Code) for repeatable, multi-environment provisioning (staging, testing, production).
2. AI-Enabled Claims Automation: I implemented automated policy cross-referencing, document data extraction, structured information ingestion, and decision-support routing.
3. Zero-Trust Security & Access Control: I enforced granular AWS IAM role-based access control (RBAC), multi-tenant isolation, and AWS KMS customer-managed envelope encryption.
4. Audit-Aware Reconciliation: I configured transaction reconciliation and immutable audit trails via AWS CloudTrail and Amazon CloudWatch for strict regulatory compliance.
5. Prototype-to-Production Pathway: I architected the platform from inception with production-grade boundaries, modular microservice boundaries, containerisation (Docker), and declarative CI/CD pipelines.

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🏗️ System Architecture & Workflow Pipeline

``` [ Policyholder / Broker ] │ ▼ [ CloudFront CDN / WAF ] ──> DDoS & Managed OWASP Rule Filtering │ ▼ [ Next.js Platform / API Gateway ] │ ┌─────┴────────────────────────────┐ ▼ ▼ [ S3 Document Vault ] [ AI Ingestion Engine ] • KMS Envelope Encryption • Document Extraction • Lifecycle Retention Rules • Claims Classification & Routing • Anti-Tamper Versioning • Policy Limit Verification │ │ └──────────────┬───────────────────┘ ▼ [ Reconciliation & Ledger Layer ] • RDS PostgreSQL (Relational) • DynamoDB (State & Idempotency) │ ▼ [ Observability & Audit Trail ] • CloudWatch Alarms & Metrics • CloudTrail Regulatory Audit Log • Human-in-the-Loop Sign-off Gate ```

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💼 Operating Capabilities

1. Insurance Administration & Onboarding

I structured digital intake for brokers, administrators, and policyholders with verified data capture, identity verification, and role-based permissions.

2. Intelligent Claims Workflow Automation

I automated first-notice-of-loss (FNOL), evidence document intake (medical invoices, police dockets, repair estimates), claim validation, and exception routing to human adjudicators.

3. Financial Reconciliation & Settlement

I built automated reconciliation between broker policy collections, underwriter balances, and claims disbursement ledgers, eliminating manual spreadsheet bottlenecks.

4. Regulatory Compliance & Governance

I implemented immutable audit records for every status transition, payment authorisation, and document inspection, ensuring complete compliance readiness.

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🔧 Technology Stack & Infrastructure

• Primary Cloud Architecture: Amazon Web Services (AWS)
• Infrastructure as Code: HashiCorp Terraform
• Storage & Encryption: Amazon S3 (Multi-tier lifecycle), AWS KMS (Customer Managed Keys)
• Identity & Governance: AWS IAM (Least-privilege RBAC), AWS CloudTrail
• Compute & Automation: AWS Lambda, EventBridge, Docker Containers
• Databases: Amazon RDS PostgreSQL, Amazon DynamoDB
• Monitoring: Amazon CloudWatch (Metric alarms, access anomalies)
• Application Framework: Next.js, React, TypeScript strict mode

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⚖️ Confidentiality & Review Boundary

This public repository serves as a sanitised architectural case study. In accordance with client and regulatory confidentiality agreements:

• Proprietary underwriter pricing matrices, private actuarial datasets, administrative API credentials, and client records are strictly excluded from public display.
• The public platform demonstrates my architectural, workflow, and user interface systems without exposing protected financial institution backend databases.

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🌐 Connected Ecosystem & Practice Review

• Live Platform Demo: https://earcodex.vercel.app/
• N.White Systems Architecture Review: https://nwhite.systems/my-portfolio/earcodex
• Principal Architect Profile: https://nwhite.systems/about-me
• Direct Enquiries: hello@nwhite.systems

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© N.White Systems. Engineered for enterprise reliability, governance, and measurable performance.