End-to-End Document Intelligence Workflow
Overview
Document Intelligence transforms complex document processing through seamless integration of three specialized services: Training, Multimodal Extraction, and Intelligent Work Management. Understanding how these services work together is key to implementing effective document automation solutions.
The end-to-end workflow demonstrates how Document Intelligence moves from initial configuration through autonomous processing while maintaining complete visibility and control throughout the document lifecycle.
Service Integration Flow
Training Service
Configures document understanding:
- Define document types
- Configure document formats
- Train extraction accuracy
Multimodal Extraction Service
Transforms documents into structured data:
- Classifies incoming documents
- Extracts data using trained configurations
- Validates and stores results
Work Management Service
Orchestrates autonomous processing:
- Creates work items from processed documents
- Distributes work to specialized agents
- Manages human collaboration when needed
Complete Processing Lifecycle
Processing Scenarios
Let's examine common end-to-end processing flows:
Standard Processing Flow
- Document arrives in S3
- Extraction pipeline processes document
- Work item created automatically
- Agent processes autonomously
- Results stored and archived
Standard flows complete without human intervention, maximizing automation efficiency.
Collaboration Required Flow
- Document processed through pipeline
- Agent identifies collaboration need
- Human expert engaged with context
- Resolution captured and validated
- Processing continues automatically
Rich context enables efficient human collaboration when needed.
Exception Handling Flow
- Processing issue detected
- Error context captured
- Appropriate handlers notified
- Resolution path determined
- Processing resumed or redirected