Architecture Overview
Document Automation is built on a modern, scalable architecture that seamlessly integrates with Microsoft Dynamics 365 Business Central while leveraging cloud-based OCR services for document processing.
System Architecture
High-Level Architecture
The Document Automation solution consists of several key components working together to provide comprehensive document processing capabilities:
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ Email Inbox │ │ Drag & Drop │ │ Manual Upload │
│ Integration │ │ Interface │ │ Interface │
└─────────┬───────┘ └─────────┬───────┘ └─────────┬───────┘
│ │ │
└──────────────────────┼──────────────────────┘
│
┌─────────────▼─────────────┐
│ Document Intake Engine │
│ - File validation │
│ - Format conversion │
│ - Queue management │
└─────────────┬─────────────┘
│
┌─────────────▼─────────────┐
│ OCR Service API │
│ - Text extraction │
│ - Data structure │
│ - Confidence scoring │
└─────────────┬─────────────┘
│
┌─────────────▼─────────────┐
│ Recognition & Validation │
│ - Vendor identification │
│ - Document classification│
│ - Data validation │
└─────────────┬─────────────┘
│
┌─────────────▼─────────────┐
│ Business Central │
│ Integration Layer │
│ - Master data lookup │
│ - Posting routines │
│ - Workflow integration │
└───────────────────────────┘Component Architecture
1. Presentation Layer
User Interfaces: - Role Center with dashboard and quick actions - Document processing workspace with integrated PDF viewer - Configuration pages for setup and administration - Archive and search interfaces for document retrieval
Control Add-ins: - Drag & drop file upload component - PDF viewer with annotation capabilities - Progress indicators and status displays
2. Business Logic Layer
Core Processing Engine: - Document workflow management - OCR service integration and coordination - Business rule validation and enforcement - Error handling and retry mechanisms
Recognition Engine: - Vendor identification algorithms - Document type classification - Field extraction and mapping - Confidence scoring and threshold management
Integration Services: - Email service connectivity (Microsoft Graph, IMAP) - Business Central API integration - External service communication - Event handling and notifications
3. Data Layer
Core Tables: - Document content storage (AASDocumentContent) - Processing status tracking (AASHandledDocuments) - Configuration settings (AASDocumenthandlingSetup) - Identification rules (AASIdentifications)
Integration Tables: - Email metadata (AASInboxMailItem) - Vendor preferences (AASPreferredVendorSetup) - User settings and permissions - Archive indexes and references
Technology Stack
Application Platform
- Microsoft Dynamics 365 Business Central: Core ERP platform
- AL Language: Extension development framework
- Business Central Extensions: Native integration capabilities
- VS Code Development Environment: Development and deployment tools
Integration Technologies
- Microsoft Graph API: Office 365 and email integration
- IMAP Protocol: Email server connectivity
- REST APIs: External service integration
- OAuth 2.0: Secure authentication protocols
External Services
- OCR Service Provider: Cloud-based optical character recognition
- Email Services: Microsoft 365, Exchange, and third-party providers
- Document Storage: Cloud and on-premise storage options
- Authentication Services: Q-Team Authenticator integration
Data Flow Architecture
Document Processing Pipeline
1. Document Intake
Email Attachment → Validation → Format Check → Queue Entry
Manual Upload → Validation → Format Check → Queue EntryProcessing Steps: - File format validation (PDF, JPEG, PNG, TIFF) - Size and quality checks - Duplicate detection - Queue prioritization and assignment
2. OCR Processing
Document Queue → OCR Service → Text Extraction → Data Structuring → Confidence ScoringOCR Workflow: - Document preprocessing and optimization - Text recognition and extraction - Layout analysis and field detection - Confidence scoring for extracted data - Error detection and quality assessment
3. Recognition and Validation
Extracted Data → Vendor ID → Document Type → Field Mapping → BC ValidationRecognition Process: - Vendor identification using multiple algorithms - Document type classification - Field extraction and mapping to Business Central entities - Master data validation and lookup - Business rule application and validation
4. User Review and Correction
Validation Results → User Interface → Manual Review → Corrections → ApprovalReview Workflow: - Present documents requiring attention - Side-by-side view of original and extracted data - Interactive correction and validation - Approval routing and workflow integration - Final validation before posting
5. Business Central Integration
Approved Data → Purchase Document → Posting Routine → Archive → NotificationIntegration Process: - Purchase invoice or credit memo creation - Posting group assignment and validation - Integration with approval workflows - Document archiving and indexing - User and system notifications
Security Architecture
Authentication and Authorization
- Single Sign-On: Integration with Business Central authentication
- Role-Based Access Control: Granular permissions and access control
- API Security: Secure communication with external services
- Session Management: Secure session handling and timeout
Data Protection
- Encryption in Transit: TLS 1.3 for all external communications
- Encryption at Rest: AES-256 encryption for stored documents
- Key Management: Secure key storage and rotation
- Data Sanitization: Secure deletion and data cleanup
Compliance and Audit
- Audit Logging: Comprehensive activity tracking
- GDPR Compliance: Data protection and privacy controls
- Retention Policies: Configurable data retention and disposal
- Access Monitoring: User activity tracking and reporting
Scalability and Performance
Horizontal Scaling
- Multi-Tenant Support: Isolated processing for multiple organizations
- Load Distribution: Balanced processing across multiple nodes
- Queue Management: Intelligent queue distribution and prioritization
- Resource Optimization: Dynamic resource allocation based on demand
Performance Optimization
- Caching Strategies: Intelligent caching for frequently accessed data
- Batch Processing: Optimized batch processing for high volumes
- Database Optimization: Efficient indexing and query optimization
- Network Optimization: Minimized data transfer and compression
Monitoring and Diagnostics
- Performance Metrics: Real-time performance monitoring
- Health Checks: System health monitoring and alerting
- Error Tracking: Comprehensive error logging and analysis
- Capacity Planning: Resource utilization monitoring and forecasting
Integration Points
Business Central Integration
- Native Extension: Built using standard Business Central extension framework
- Event Subscribers: Integration with Business Central posting and validation events
- API Integration: Standard Business Central web services and APIs
- Workflow Integration: Native integration with approval workflows
External System Integration
- Email Services: Microsoft Graph API and IMAP protocol support
- Document Management: Integration with SharePoint and other document systems
- ERP Systems: API-based integration with other business systems
- Custom Integrations: Extensible framework for custom connectivity
Cloud and On-Premise
- Cloud Deployment: Native support for Business Central cloud
- On-Premise Support: Compatible with on-premise Business Central installations
- Hybrid Scenarios: Support for hybrid cloud and on-premise configurations
- Migration Support: Tools and processes for environment migration
Deployment Architecture
Cloud Deployment
- AppSource Distribution: Automated deployment through Microsoft AppSource
- Tenant Isolation: Secure multi-tenant architecture
- Automatic Updates: Seamless updates with zero downtime
- Global Availability: Multi-region deployment for optimal performance
On-Premise Deployment
- Manual Installation: Deployment packages for on-premise environments
- Custom Configuration: Tailored configuration for specific requirements
- Local Integration: Integration with on-premise email and document systems
- Maintenance Support: Professional services for ongoing maintenance
Development and Testing
- Development Environment: Isolated development and testing environments
- Continuous Integration: Automated testing and deployment pipelines
- Quality Assurance: Comprehensive testing procedures and validation
- User Acceptance Testing: Structured UAT processes and documentation
Future Architecture Considerations
Emerging Technologies
- AI and Machine Learning: Enhanced document processing and recognition
- Cloud-Native Services: Leveraging advanced cloud services and capabilities
- Mobile Integration: Enhanced mobile device support and functionality
- IoT Integration: Integration with scanning devices and smart office equipment
Scalability Enhancements
- Microservices Architecture: Evolution toward microservices for enhanced scalability
- Container Deployment: Support for containerized deployment and orchestration
- Edge Computing: Edge processing for improved performance and reduced latency
- Global Distribution: Enhanced global deployment and content delivery
The Document Automation architecture is designed to be robust, scalable, and future-ready, providing a solid foundation for current operations while supporting future growth and technological advancement.