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> For a complete documentation index, see https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://cla-demo.postmansolutions.com/_mcp/server.
# Account Payable to Fluxx HLD
## Architecture Overview
The migration transforms the current Python/Temporal monolithic architecture into three distinct Node.js repositories deployed on Azure Kubernetes Service, leveraging Azure Durable Functions for workflow orchestration and Azure Managed Identity for security.
```mermaid
graph TB
subgraph "Azure Kubernetes Service (AKS)"
subgraph "Frontend Tier"
UI[web-accountspayable
React UI Container
NGINX Ingress]
end
subgraph "API Tier"
API[web-api-accountspayable
Fastify REST API
TypeScript + Node.js]
end
subgraph "Data Tier"
DB[db-accountspayable
Database Access Layer
Fastify Plugin Architecture]
end
end
subgraph "Azure Services with Managed Identity"
AF[Azure Durable Functions
v4 Programming Model
TypeScript]
AAD[Azure Active Directory
Managed Identity Provider]
COSMOS[Azure Cosmos DB
Role-Based Access]
PSQL[Azure PostgreSQL
Managed Identity Auth]
BLOB[Azure Blob Storage
RBAC Access]
REDIS[Azure Cache for Redis
Managed Identity]
APPINS[Application Insights
Monitoring & Logging]
end
subgraph "External Services"
FLUXX[Fluxx Microservices
Document Processing API]
ERP[ERP Systems
External Integration]
end
UI --> API
API --> DB
API --> AF
API --> FLUXX
AF --> COSMOS
AF --> PSQL
AF --> BLOB
DB --> COSMOS
DB --> PSQL
DB --> REDIS
API -.->|Managed Identity| AAD
AF -.->|Managed Identity| AAD
DB -.->|Managed Identity| AAD
API --> APPINS
AF --> ERP
```
## Authentication Architecture with Azure Managed Identity
### Managed Identity Flow
```mermaid
sequenceDiagram
participant Client as React Client
participant API as Fastify API
participant AAD as Azure AD
participant DB as Azure Services
Client->>AAD: Get Access Token (MSAL.js)
AAD->>Client: JWT Token
Client->>API: API Request + JWT
API->>AAD: Validate JWT + Get MI Token
AAD->>API: Managed Identity Token
API->>DB: Request with MI Token
DB->>API: Data Response
API->>Client: API Response
```
## Repository Structure & Service Distribution
### Repository 1: `web-accountspayable` (Frontend)
**Purpose**: User interface layer - remains unchanged from current React implementation
* **Technology**: React, TypeScript, NGINX
* **Deployment**: AKS pod with ingress controller
* **Authentication**: MSAL.js integration with Azure AD
* **Responsibilities**:
* Invoice review and approval interfaces
* Real-time workflow status dashboard
* User management and configuration
* Document viewer and annotation tools
### Repository 2: `web-api-accountspayable` (Backend API)
**Purpose**: Business logic API layer using Fastify framework
* **Technology**: Fastify, TypeScript, Node.js
* **Deployment**: AKS pods with horizontal auto-scaling
* **Authentication**: Azure Managed Identity + JWT validation
* **Core Modules**:
* **Invoice Management Module**: CRUD operations for invoice documents
* **Workflow Control Module**: Durable Functions integration and workflow triggers
* **User Management Module**: Authentication, authorization, and role management
* **Client Configuration Module**: Multi-tenant settings and business rules
* **Integration Module**: Fluxx microservices and ERP system connectors
* **Export Module**: CSV, IIF, and custom format generation
* **Audit Module**: User action logging and compliance tracking
### Repository 3: `db-accountspayable` (Database Layer)
**Purpose**: Data access layer as reusable Fastify plugins
* **Technology**: Fastify plugins, TypeScript
* **Deployment**: Shared library consumed by API services
* **Authentication**: Azure Managed Identity for all database connections
* **Core Modules**:
* **Cosmos DB Plugin**: Document storage and retrieval with partitioning
* **PostgreSQL Plugin**: Relational data access with connection pooling
* **Redis Plugin**: Caching and session management
* **Migration Module**: Database schema versioning and updates
* **Connection Management**: Pool management and retry logic
## Workflow Migration: Temporal → Azure Durable Functions
### Current State Analysis
The existing Temporal workflows consist of 9 sequential stages with complex state management, error handling, and human intervention points. Each stage has specific retry policies, timeout configurations, and failure handling mechanisms.
### Target State Design
#### Main Orchestrator Function
* **Name**: `InvoiceProcessingOrchestrator`
* **Trigger**: HTTP trigger from Fastify API
* **Responsibilities**:
* Coordinate all workflow stages
* Maintain workflow state across long-running processes
* Handle timeouts and escalations
* Provide status updates to frontend
#### Activity Functions Mapping
| Current Temporal Workflow | Azure Durable Function Activity | Fluxx Integration |
| ----------------------------- | ------------------------------- | ----------------------------------------------- |
| WorkflowInvoiceIngest | IngestActivity | Fluxx Document Classification + Data Extraction |
| WorkflowInvoiceIntake | IntakeActivity | Internal validation logic |
| WorkflowInvoiceMatching | MatchingActivity | ERP PO matching + Fluxx validation |
| WorkflowLineItemCoding | CodingActivity | Fluxx AI coding services |
| WorkflowInvoiceManual | ManualReviewActivity | Internal manual review process |
| WorkflowInvoiceManualApproval | ApprovalActivity | Internal approval workflow |
| WorkflowInvoiceExport | ExportActivity | Internal export generation |
| WorkflowInvoiceFiling | FilingActivity | ERP system integration |
| WorkflowInvoiceClosed | ClosureActivity | Internal archival process |
#### Entity Functions
* **WorkflowStateEntity**: Maintains persistent workflow state
* **ConfigurationEntity**: Manages client-specific configurations
* **ApprovalEntity**: Handles approval routing and escalation
## Node.js Migration Strategy
### Technology Stack Replacement
| Python Component | Node.js Replacement | Migration Complexity |
| ---------------- | ----------------------- | ------------------------------ |
| FastAPI | Fastify | Medium - API structure similar |
| Pydantic | TypeScript + Ajv | Low - Schema validation |
| SQLAlchemy | Native SQL with pg | Medium - Query migration |
| Azure SDK Python | Azure SDK JavaScript | Low - Similar patterns |
| Temporal SDK | Azure Durable Functions | High - Different paradigm |
| pytest | Jest + Supertest | Medium - Test rewriting |
### Migration Work Breakdown
#### Phase 1: Foundation (4-6 weeks)
* Setup three repository structures
* Configure Azure infrastructure with Bicep
* Implement Managed Identity authentication
* Create base Fastify application structure
* Setup CI/CD pipelines for all repositories
#### Phase 2: Data Layer (3-4 weeks)
* Migrate database schemas to Azure
* Implement Fastify database plugins
* Create data access patterns with Managed Identity
* Migrate existing data with validation
* Performance testing and optimization
#### Phase 3: API Layer (6-8 weeks)
* Port all REST endpoints from Python to Fastify
* Implement JSON schema validation
* Integrate with Fluxx microservices
* Create authentication middleware
* Comprehensive API testing
#### Phase 4: Workflow Migration (8-10 weeks)
* Design and implement Azure Durable Functions
* Create activity functions for each workflow stage
* Implement state management and error handling
* Integration with Fluxx services
* End-to-end workflow testing
#### Phase 5: Integration & Testing (4-6 weeks)
* Frontend integration updates
* Performance optimization
* Security testing and compliance
* User acceptance testing
* Production deployment preparation
## Fluxx Integration Architecture
### Integration Points
* **Document Classification**: Replace internal document intelligence with Fluxx API
* **Data Extraction**: Leverage Fluxx ML models for invoice parsing
* **Validation Services**: Use Fluxx validation algorithms
* **AI Coding**: Utilize Fluxx AI for GL account coding
### Service Communication
* RESTful API calls with Azure Managed Identity authentication
* Circuit breaker patterns for resilience
* Async processing with retry mechanisms
* Comprehensive logging and monitoring
## User Stories
### Epic 1: Infrastructure Foundation
#### Story 1.1: Repository Setup and Structure
**As a** DevOps Engineer\
**I want to** create three separate repositories with proper CI/CD pipelines\
**So that** each service can be developed and deployed independently
**Acceptance Criteria:**
* Three repositories created with appropriate naming conventions
* Azure DevOps pipelines configured for each repository
* Docker containers and Kubernetes manifests created
* Environment-specific configuration management
* Security scanning and code quality gates
#### Story 1.2: Azure Infrastructure Provisioning
**As a** Cloud Architect\
**I want to** provision Azure infrastructure using Infrastructure as Code\
**So that** the environment is consistent and reproducible
**Acceptance Criteria:**
* AKS cluster with appropriate node pools
* Azure Cosmos DB and PostgreSQL with Managed Identity
* Azure Functions app for Durable Functions
* Azure Cache for Redis with Managed Identity
* Networking, security groups, and ingress configuration
### Epic 2: Database Layer Migration
#### Story 2.1: Database Schema Migration
**As a** Database Engineer\
**I want to** migrate existing database schemas to Azure services\
**So that** data structure and relationships are preserved
**Acceptance Criteria:**
* PostgreSQL schema migrated with indexes and constraints
* Cosmos DB collections created with proper partitioning
* Data migration scripts with validation
* Performance benchmarking completed
* Backup and recovery procedures established
#### Story 2.2: Database Access Layer Development
**As a** Backend Developer\
**I want to** create Fastify plugins for database access\
**So that** data operations are consistent across services
**Acceptance Criteria:**
* Cosmos DB plugin with Managed Identity authentication
* PostgreSQL plugin with connection pooling
* Redis plugin for caching operations
* Error handling and retry logic implemented
* Transaction support where needed
### Epic 3: API Layer Migration
#### Story 3.1: Fastify Framework Setup
**As a** Backend Developer\
**I want to** establish Fastify application foundation\
**So that** APIs are high-performance and well-structured
**Acceptance Criteria:**
* Fastify server with TypeScript configuration
* Plugin architecture for modularity
* JSON schema validation with comprehensive schemas
* Swagger documentation auto-generation
* Logging, monitoring, and health checks
#### Story 3.2: Authentication and Authorization
**As a** Security Engineer\
**I want to** implement Azure Managed Identity authentication\
**So that** API access is secure and credential-free
**Acceptance Criteria:**
* JWT validation middleware implementation
* Role-based access control (RBAC) system
* Managed Identity configuration for Azure services
* Session management with Redis
* Security headers and CORS configuration
#### Story 3.3: Invoice Management API Migration
**As a** Backend Developer\
**I want to** port invoice CRUD operations to Fastify\
**So that** frontend functionality remains unchanged
**Acceptance Criteria:**
* All invoice endpoints migrated with identical functionality
* JSON schema validation for all payloads
* Database operations using new plugin architecture
* Error handling matching existing behavior
* Performance benchmarks meet or exceed current system
#### Story 3.4: Fluxx Integration Implementation
**As a** Integration Developer\
**I want to** integrate with Fluxx microservices\
**So that** document processing leverages existing capabilities
**Acceptance Criteria:**
* HTTP client with circuit breaker and retry logic
* Managed Identity authentication to Fluxx services
* Error handling and fallback mechanisms
* Comprehensive logging and monitoring
* Performance optimization for concurrent requests
### Epic 4: Workflow Migration to Azure Durable Functions
#### Story 4.1: Durable Functions Project Setup
**As a** Backend Developer\
**I want to** create Azure Durable Functions project structure\
**So that** workflow orchestration is reliable and maintainable
**Acceptance Criteria:**
* Functions v4 programming model with TypeScript
* Local development environment with emulation
* Managed Identity configuration for all dependencies
* Extension bundles for optimal performance
* Monitoring and Application Insights integration
#### Story 4.2: Main Orchestrator Implementation
**As a** Workflow Developer\
**I want to** create the main workflow orchestrator function\
**So that** invoice processing follows defined business rules
**Acceptance Criteria:**
* Orchestrator function handling all 9 workflow stages
* State persistence across long-running processes
* Error handling with appropriate retry policies
* Support for manual interventions and approvals
* Real-time status updates to frontend
#### Story 4.3: Activity Functions Development
**As a** Workflow Developer\
**I want to** implement activity functions for each workflow stage\
**So that** business logic is properly encapsulated and testable
**Acceptance Criteria:**
* Ingest activity integrating with Fluxx services
* Intake activity with data validation logic
* Matching activity with ERP integration
* Coding activity with business rules engine
* Manual review and approval activities
* Export and filing activities with ERP integration
#### Story 4.4: State Management and Error Handling
**As a** Workflow Developer\
**I want to** implement robust state management and error handling\
**So that** workflows are resilient and recoverable
**Acceptance Criteria:**
* Entity functions for persistent state management
* Comprehensive error handling with proper logging
* Retry policies matching business requirements
* Timeout handling and escalation procedures
* Workflow restart and recovery capabilities
### Epic 5: Integration and Testing
#### Story 5.1: End-to-End Integration Testing
**As a** QA Engineer\
**I want to** validate complete workflow functionality\
**So that** the migrated system works as expected
**Acceptance Criteria:**
* Complete invoice processing workflows tested
* Integration with Fluxx services validated
* ERP system integration verified
* Performance benchmarks achieved
* Error scenarios properly handled
#### Story 5.2: Frontend Integration Updates
**As a** Frontend Developer\
**I want to** update React application to work with new backend\
**So that** user experience remains consistent
**Acceptance Criteria:**
* API endpoints updated to new Fastify backend
* Authentication flow updated for Azure AD
* Real-time workflow status integration
* Error handling for new API responses
* No breaking changes to existing UI functionality
#### Story 5.3: Performance Optimization and Monitoring
**As a** Site Reliability Engineer\
**I want to** optimize performance and implement monitoring\
**So that** the system performs well in production
**Acceptance Criteria:**
* Application Insights integration across all services
* Performance metrics and alerting configured
* Auto-scaling policies implemented
* Resource optimization completed
* Capacity planning documentation created
### Epic 6: Production Deployment
#### Story 6.1: Production Environment Preparation
**As a** DevOps Engineer\
**I want to** prepare production environment for deployment\
**So that** the system can handle production workloads
**Acceptance Criteria:**
* Production infrastructure provisioned and configured
* Security reviews and penetration testing completed
* Disaster recovery and backup procedures implemented
* Monitoring and alerting systems configured
* Documentation and runbooks completed
#### Story 6.2: Data Migration and Cutover
**As a** Data Engineer\
**I want to** migrate production data safely\
**So that** business operations can continue without interruption
**Acceptance Criteria:**
* Production data migrated with validation
* Rollback procedures tested and documented
* Parallel running period with data synchronization
* User acceptance testing in production environment
* Go-live support and monitoring
I'll revise Epic 7 to focus on direct API calls to the Fluxx status server for uploads, classification, and extraction statuses within each epic stage, removing the Service Bus messaging approach.
## Epic 7: Fluxx Status Server Integration
### Story 7.1: Fluxx Status Server Client Implementation
**As a** Backend Developer\
**I want to** create a query to the Fluxx Status Server\
**So that** APAutoExtract can query upload, classification, and extraction statuses directly
**Acceptance Criteria:**
* HTTP client library with Azure Managed Identity authentication to Fluxx status server
* API methods for querying upload status by document ID
* API methods for querying classification status and progress
* API methods for querying extraction status and results
* Retry logic with exponential backoff for transient failures
* Circuit breaker pattern for handling Fluxx status server outages
### Story 7.2: Upload Status Integration in Ingest Stage
**As a** Workflow Developer\
**I want to** integrate upload status polling in the ingest activity\
**So that** the workflow waits for successful document upload before proceeding
**Acceptance Criteria:**
* Ingest activity polls Fluxx status server for upload completion
* Configurable polling intervals (e.g., every 5 seconds) until upload completes
* Timeout handling if upload takes longer than expected (e.g., 10 minutes)
* Status caching in Redis to reduce API calls for concurrent workflows
* Error handling for upload failures with appropriate workflow termination
* Progress updates sent to frontend for real-time user feedback
### Story 7.3: Classification Status Integration in Intake Stage
**As a** Workflow Developer\
**I want to** monitor classification progress during the intake activity\
**So that** the workflow can proceed once document classification is complete
**Acceptance Criteria:**
* Intake activity polls classification status endpoint
* Progress percentage tracking and display in workflow status
* Classification result retrieval and validation
* Handling of classification confidence scores and thresholds
* Error handling for classification failures with retry options
* Integration with manual review workflow if classification confidence is low
### Story 7.4: Extraction Status Integration in Data Processing
**As a** Workflow Developer\
**I want to** track data extraction progress and retrieve results\
**So that** extracted invoice data is available for matching and validation
**Acceptance Criteria:**
* Data extraction status polling with progress tracking
* Retrieval of extracted structured data from Fluxx services
* Data validation and transformation for internal data model
* Handling of extraction quality scores and confidence levels
* Error handling for extraction failures with fallback to manual data entry
* Integration with data validation workflows
### Story 7.5: Status Caching and Performance Optimization
**As a** Performance Engineer\
**I want to** implement intelligent status caching\
**So that** Fluxx status server load is minimized while maintaining responsiveness
**Acceptance Criteria:**
* Redis caching layer for status responses with appropriate TTL
* Smart polling intervals based on processing stage and estimated completion time
* Bulk status queries for multiple documents when possible
* Connection pooling for Fluxx status server HTTP connections
* Performance metrics tracking for status query response times
* Rate limiting to respect Fluxx status server API limits
### Story 7.6: Real-time Status Dashboard Updates
**As a** Frontend Developer\
**I want to** display real-time Fluxx processing status in the UI\
**So that** users can monitor document processing progress across all stages
**Acceptance Criteria:**
* WebSocket integration for pushing status updates to frontend
* Progress bars showing upload, classification, and extraction progress
* Status timeline view showing progression through all Fluxx processing stages
* Error state display with detailed error messages from Fluxx services
* Retry and cancellation options for failed or stuck processes
* Processing queue view showing pending documents in Fluxx services
### Story 7.7: Error Handling and Fallback Mechanisms
**As a** Site Reliability Engineer\
**I want to** implement robust error handling for Fluxx status integration\
**So that** workflow failures are gracefully handled and recoverable
**Acceptance Criteria:**
* Comprehensive error classification for different Fluxx status server failures
* Automatic retry mechanisms with configurable retry policies
* Fallback to manual processing when Fluxx services are unavailable
* Error escalation and notification procedures for critical failures
* Workflow pause and resume capabilities during Fluxx service outages
* Comprehensive error logging and alerting for troubleshooting
### Story 7.8: Status History and Audit Trail
**As a** Compliance Officer\
**I want to** maintain detailed status history and audit trails\
**So that** document processing can be tracked for compliance and troubleshooting
**Acceptance Criteria:**
* PostgreSQL storage of complete status history for each document
* Audit trail showing all status queries and responses
* Processing timeline with timestamps for each stage completion
* Integration with Application Insights for monitoring and analytics
* Status report generation for compliance and operational review
* Data retention policies for status history and audit data
### Story 7.9: Configuration and Monitoring
**As a** DevOps Engineer\
**I want to** configure monitoring and alerting for Fluxx status integration\
**So that** issues can be detected and resolved proactively
**Acceptance Criteria:**
* Application Insights integration for status query telemetry
* Custom metrics for response times, error rates, and processing delays
* Alerting rules for Fluxx status server availability issues
* Dashboard showing Fluxx processing health and performance metrics
* Configuration management for polling intervals and timeout values
* Capacity planning metrics for scaling decisions
### Story 7.10: Integration Testing and Validation
**As a** QA Engineer\
**I want to** validate Fluxx status server integration\
**So that** status tracking works reliably across all processing stages
**Acceptance Criteria:**
* End-to-end testing of status tracking through complete workflows
* Status accuracy validation comparing Fluxx responses with actual processing
* Error scenario testing including network failures and service timeouts
* Performance testing under high-volume concurrent status queries
* Load testing to validate status server integration under stress
* Monitoring validation for all failure and performance scenarios
### Integration Points in Each Workflow Stage
#### Ingest Stage (WorkflowInvoiceIngest)
* **Upload Status Check**: Poll Fluxx upload service for document upload completion
* **Upload Validation**: Verify document is successfully stored and accessible
* **Error Handling**: Retry upload if initial attempt fails
#### Intake Stage (WorkflowInvoiceIntake)
* **Classification Status**: Monitor document classification progress
* **Classification Results**: Retrieve classification confidence and category
* **Quality Validation**: Verify classification meets confidence thresholds
#### Matching Stage (WorkflowInvoiceMatching)
* **Extraction Status**: Track data extraction progress and completion
* **Data Retrieval**: Fetch extracted structured data from Fluxx services
* **Data Validation**: Verify extraction quality and completeness
#### All Subsequent Stages
* **Status Monitoring**: Continue monitoring for any additional Fluxx processing
* **Error Recovery**: Handle any delayed failures or status updates
* **Final Validation**: Confirm all Fluxx processing is complete before workflow closure
I'll create Epic 8 for configuring Fluxx application-level settings to work with our extractors, classifiers, and post-processing events.
## Epic 8: Fluxx Application Configuration & Registration
### Story 8.1: Fluxx Configuration Management API
**As a** System Administrator\
**I want to** create APIs to manage Fluxx application-level configurations\
**So that** extractors, classifiers, and post-processors can be configured for optimal performance
**Acceptance Criteria:**
* REST API endpoints for CRUD operations on Fluxx configurations
* Configuration schema validation for extractor parameters
* Configuration versioning and rollback capabilities
* Multi-tenant configuration support with client isolation
* Configuration audit trail with change tracking
* Integration with Azure Key Vault for sensitive configuration values
### Story 8.2: Document Extractor Configuration
**As a** Configuration Manager\
**I want to** configure Fluxx document extractors for invoice processing\
**So that** data extraction is optimized for our specific document types and formats
**Acceptance Criteria:**
* Configuration interface for OCR engine parameters (confidence thresholds, language settings)
* Field extraction rules configuration (vendor name patterns, date formats, amount parsing)
* Template-based extraction configuration for known invoice formats
* Custom field mapping configuration for client-specific requirements
* Extraction quality thresholds and fallback mechanisms
* Performance tuning parameters (batch sizes, parallel processing limits)
### Story 8.3: Document Classifier Configuration
**As a** ML Engineer\
**I want to** configure Fluxx document classifiers for accurate document categorization\
**So that** invoices are properly classified and routed through appropriate processing workflows
**Acceptance Criteria:**
* Machine learning model configuration for document classification
* Training data management and model retraining parameters
* Classification confidence thresholds and uncertainty handling
* Custom classification categories for client-specific document types
* A/B testing configuration for model performance comparison
* Classification feedback loop configuration for continuous improvement
### Story 8.4: Post-Processing Event Configuration
**As a** Business Analyst\
**I want to** configure post-processing events and business rules\
**So that** extracted data undergoes appropriate validation and transformation
**Acceptance Criteria:**
* Business rule engine configuration for data validation
* Custom validation rules for client-specific requirements
* Data transformation pipelines configuration
* Quality assurance checkpoints and manual review triggers
* Integration points configuration for downstream systems
* Event-driven processing configuration for real-time updates
This Epic 8 ensures that Fluxx services are properly configured and optimized for the specific needs of the APAutoExtract system, providing flexibility for different client requirements while maintaining performance and reliability.
This comprehensive migration strategy ensures a systematic approach to transforming the existing Python/Temporal system into a modern, cloud-native microservices architecture leveraging Azure's managed services for security, scalability, and reliability.
## Docs
- [Complete build and deploy web documents ai to UAT and PROD](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/complete-build-and-deploy-web-documents-ai-to-uat-and-prod.md)
- [Complete build and deploy web api documents ai to UAT and PROD](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/complete-build-and-deploy-web-api-documents-ai-to-uat-and-prod.md)
- [Documents AI MVP](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-mvp.md)
- [Documents AI Conceptual Diagram](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-conceptual-diagram.md)
- [Documents AI Intake and Extract Service for Fluxx](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-intake-and-extract-service-for-fluxx.md)
- [Extractor Code](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-intake-and-extract-service-for-fluxx/extractor-code.md)
- [User Stories for Document AI Microservices Implementation](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-intake-and-extract-service-for-fluxx/user-stories-for-document-ai-microservices-implementation.md)
- [Backend Migration](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/backend-migration.md)
- [Design for AP Autoextract(Documents AI)-Intake requirements for Fluxx Intake service](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/design-for-ap-autoextract-documents-ai-intake-requirements-for-fluxx-intake-service.md)
- [Design for AP AutoExtract to Fluxx Extraction requirements](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/design-for-ap-autoextract-to-fluxx-extraction-requirements.md)
- [AP AutoExtract to Documents AI Database Migration from Postgres to MSSQL](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/ap-autoextract-to-documents-ai-database-migration-from-postgres-to-mssql.md)
- [Documents AI Workflow Orchestrator](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-workflow-orchestrator.md)
- [Workflow Stories Needed](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-workflow-orchestrator/workflow-stories-needed.md)
- [Workflow implimenation](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/documents-ai-workflow-orchestrator/workflow-implimenation.md)
- [1040 Tax Classifier Service](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/extractors/1040-tax-classifier-service.md)
- [1099B NonGovt Extractor Service](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/extractors/1099b-nongovt-extractor-service.md)
- [Consolidated 1099 Extractor Service](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/extractors/consolidated-1099-extractor-service.md)
- [TaxDoc Extractor Service](https://cla-demo.postmansolutions.com/design/account-payable-to-fluxx-hld/extractors/taxdoc-extractor-service.md)