Kentico - Google Document AI Integration and Automation

Common Integration Use Cases Between Kentico and Google Document AI

• Automated document ingestion for customer self-service portals
  Kentico can receive uploaded forms, claims, applications, or requests from website visitors and send them to Google Document AI for extraction and classification. The extracted data can then be returned to Kentico to trigger the right workflow, populate case records, and route submissions to the correct team. This reduces manual review time and improves turnaround for customer-facing processes.
• Intelligent content processing for compliance and legal review
  Organizations can use Kentico to manage policy, contract, or regulatory content libraries while Google Document AI extracts key clauses, dates, entities, and document types from uploaded files. Kentico can store the processed metadata and support approval workflows for legal, compliance, and governance teams. This improves document traceability and speeds up review cycles.
• Invoice and purchase order capture for eCommerce operations
  Kentico eCommerce sites can collect supplier invoices, purchase orders, and supporting documents from vendors or internal teams. Google Document AI can extract invoice numbers, line items, totals, and tax details, then pass structured data back to Kentico for order reconciliation, exception handling, and reporting. This helps finance and operations teams reduce manual data entry and processing errors.
• Customer onboarding document verification
  Kentico can serve as the front-end portal for onboarding new customers, partners, or members, collecting identity documents, tax forms, and signed agreements. Google Document AI can classify and extract the required fields from these documents, enabling Kentico to validate submission completeness and route incomplete or high-risk cases for manual follow-up. This shortens onboarding time and improves data quality.
• Case management and support ticket enrichment
  When customers submit support requests through Kentico, they often attach screenshots, PDFs, or scanned documents. Google Document AI can analyze these attachments and extract relevant information such as reference numbers, account details, or issue categories, then send the results back to Kentico to enrich the case record. Support teams gain faster triage and better prioritization.
• Knowledge base and content tagging from document archives
  Kentico content teams can upload legacy documents, manuals, and reference files to Google Document AI for text extraction and classification. The extracted content and metadata can be returned to Kentico to improve search, tagging, and content reuse across websites and portals. This makes archived information easier to find and repurpose for digital experiences.
• Bi-directional workflow for document-driven personalization
  Kentico can use document metadata returned by Google Document AI to personalize website content, offers, or next-step actions based on the type of document a user submits. For example, a user uploading a warranty claim, loan form, or membership application can be directed to the correct journey, content, or service path. This creates a more relevant experience while reducing friction in digital processes.