Home | Connectors | Google Document AI | Google Document AI - Preservica Integration and Automation

Google Document AI - Preservica Integration and Automation

Integrate Google Document AI Analytics and Preservica Cloud Storage apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between Google Document AI and Preservica

Google Document AI is well suited for extracting structured data from scanned documents, forms, invoices, correspondence, and other unstructured content at scale. Preservica is designed for long-term digital preservation, records management, and secure archival access. Together, they can automate the capture, classification, enrichment, and preservation of business records from active document processing into compliant long-term retention.

1. Automated ingestion of processed documents into the digital archive

Flow: Google Document AI to Preservica

When Document AI extracts text, metadata, and document classifications from incoming files such as contracts, claims, invoices, or case files, the output can be sent to Preservica for permanent retention. This reduces manual filing effort and ensures that important business records are archived with consistent metadata and retention context.

  • Business value: Faster records capture, lower manual indexing effort, improved compliance
  • Typical users: Records management, operations, legal, compliance

2. Enrichment of archived records with extracted metadata

Flow: Google Document AI to Preservica

Document AI can extract key fields such as dates, names, reference numbers, invoice totals, policy numbers, or case identifiers from legacy or incoming documents. Those fields can be mapped into Preservica metadata schemas to improve search, retrieval, and retention management.

  • Business value: Better discoverability and audit readiness
  • Typical users: Archivists, information governance teams, enterprise search teams

3. Preservation of high-volume operational documents after workflow completion

Flow: Google Document AI to Preservica

Operational teams can use Document AI to process documents during active workflows, such as onboarding packets, vendor forms, or customer correspondence. Once the workflow is complete, the final document set and extracted metadata can be transferred to Preservica as the system of record for retention and legal hold.

  • Business value: Cleaner handoff from operations to records management
  • Typical users: Shared services, HR, procurement, customer operations

4. Digitization and archival of historical paper records

Flow: Google Document AI to Preservica

Organizations digitizing legacy paper archives can scan documents, use Document AI to classify and extract metadata, and then ingest the digital files into Preservica. This is especially useful for large backfile conversion projects where manual cataloging would be too slow and expensive.

  • Business value: Accelerated backfile migration and reduced indexing costs
  • Typical users: Archives teams, transformation programs, document services

5. Compliance evidence packaging for audits and investigations

Flow: Bi-directional

Document AI can extract evidence details from source documents, while Preservica can preserve the final evidence package, supporting documents, and retention metadata in a controlled archive. During audits or investigations, Preservica can provide the authoritative record set, and Document AI can help process newly submitted evidence or supporting files before archiving.

  • Business value: Stronger audit trails and faster evidence assembly
  • Typical users: Compliance, internal audit, legal, risk management

6. Contract and policy record retention after document classification

Flow: Google Document AI to Preservica

Document AI can identify document type and extract key clauses or reference data from contracts, policies, and amendments. Preservica can then store the final approved version with retention rules, version history, and access controls aligned to business and regulatory requirements.

  • Business value: Improved governance over critical legal and policy records
  • Typical users: Legal, procurement, governance, corporate secretariat

7. Automated archival of customer case files and correspondence

Flow: Google Document AI to Preservica

Customer service teams often manage case files containing emails, letters, forms, and attachments. Document AI can extract case numbers, customer identifiers, and document types, then Preservica can archive the full case record for long-term retention and future retrieval.

  • Business value: Better case traceability and reduced risk of lost records
  • Typical users: Customer service, complaints teams, regulated operations

In summary, Google Document AI handles intelligent document understanding and metadata extraction, while Preservica provides secure, compliant long-term preservation. An integration between them creates a practical end-to-end workflow from document intake to governed archival storage.

How to integrate and automate Google Document AI with Preservica using OneTeg?