Introducing a hybrid approach to using Document AI and GenAI
Document Archiving
What is Document archiving?
Document archiving is the organized storage of documents for long-term retention, retrieval, and regulatory compliance. Digital document archives convert paper and electronic documents into searchable, preserved formats and maintain the supporting information that makes compliance possible.
Key components of a digital document archive
- File format standards: documents are typically converted to PDF/A for long-term archiving.
- Metadata management: structured information is attached to each document to support search and retrieval.
- Version history: all edits and iterations are tracked and preserved.
- Audit trails: a complete record of who accessed, modified, or approved each document is maintained.
Why organizations invest in document archiving?
Regulatory requirements drive most enterprise archiving investments. Organizations across industries must retain specific records for defined periods and be able to produce them on demand.
Compliance requirements by industry
- Financial institutions: must retain transaction records for defined regulatory periods.
- Healthcare organizations: must preserve patient records in line with HIPAA requirements.
- Public companies: must maintain audit-ready document archives under SEC and other reporting regulations.
How intelligent document processing supports archiving
Intelligent document processing (IDP) strengthens the archiving process by ensuring documents are accurate, complete, and usable from the moment they enter the system.
What IDP delivers at ingestion?
- Accurate classification: each document is identified and sorted by type before archiving.
- Consistent indexing: documents are tagged with the right metadata to support fast, reliable retrieval.
- Content enrichment: additional context is added to each record, making archived content searchable and actionable rather than simply stored.









