Introducing a hybrid approach to using Document AI and GenAI
Document Automation
What is Document Automation?
Document automation is the use of AI and workflow technology to process incoming documents with minimal human intervention. It handles the full document lifecycle, including:
- Capture
- Classification
- Data extraction & Validate
- Routing
- Archival
Documents covered by automation
Document automation applies to documents an organization receives and must act on, such as:
- Supplier invoices
- Customer applications
- Insurance claims
- Loan packages
- Contracts submitted for review
- Similar inbound document workflows
Document Processing vs. Document Generation
| Document processing automation | Document generation |
| Processes existing documents that an organization receives | Creates new documents automatically |
| Eg: Supplier invoices, customer applications, insurance claims | Eg: Contracts, proposals, correspondence |
| Goal is to Extract, validate, and route incoming information | Goal is to Produce structured, ready-to-use documents |
How document automation is implemented
Document automation is typically implemented through intelligent document processing (IDP) platforms. These platforms combine:
- Optical character recognition (OCR)
- Machine learning
- Natural language processing (NLP)
- Workflow orchestration
Together, these components create end-to-end document workflows with high straight-through processing (STP) rates.










