Azure AI Document Intelligence - Kentico Integration and Automation

Common Integration Use Cases Between Azure AI Document Intelligence and Kentico

1. Automated document intake for customer or partner portals

Data flow: Kentico to Azure AI Document Intelligence

Organizations can use Kentico forms, portals, or secure upload pages to collect invoices, applications, claims, onboarding packets, or compliance documents from customers and partners. Uploaded files are sent to Azure AI Document Intelligence for extraction of key fields such as names, dates, totals, reference numbers, and line items. The extracted data can then be routed back into Kentico workflows or downstream business systems for review and approval.

• Reduces manual data entry from portal submissions
• Improves turnaround time for customer-facing processes
• Creates a consistent intake process across departments

2. Content enrichment for document-driven customer experiences

Data flow: Azure AI Document Intelligence to Kentico

When customers upload documents through Kentico, extracted metadata can be stored in Kentico to personalize the user experience. For example, a claims portal can display status, required next steps, or related content based on the document type and extracted attributes. This helps teams deliver more relevant content and guidance without manual intervention.

• Personalizes portal content based on document context
• Improves self-service and reduces support calls
• Supports dynamic content rules and targeted messaging

3. Automated approval workflows for marketing and legal document submissions

Data flow: Bi-directional

Marketing, legal, and compliance teams often need to review uploaded documents such as consent forms, partner agreements, or campaign assets with embedded terms. Kentico can manage the submission and approval workflow, while Azure AI Document Intelligence extracts key clauses, dates, and identifiers for validation. Approved records can be published or archived in Kentico with the extracted metadata attached for auditability.

• Speeds up review cycles
• Improves compliance tracking and audit readiness
• Reduces dependency on manual document inspection

4. Invoice and order document processing for eCommerce operations

Data flow: Kentico to Azure AI Document Intelligence

For Kentico-based eCommerce sites, suppliers or customers may submit invoices, packing slips, or order-related documents through account portals. Azure AI Document Intelligence can extract order numbers, quantities, tax amounts, and vendor details, then pass the data back to Kentico or connected ERP systems. This supports faster reconciliation and better order visibility.

• Accelerates invoice and order validation
• Improves accuracy in financial and fulfillment workflows
• Supports exception handling for mismatched documents

5. Document classification and routing for enterprise content management

Data flow: Azure AI Document Intelligence to Kentico

Azure AI Document Intelligence can classify uploaded documents by type, such as contract, application, certificate, or form, and extract relevant metadata. Kentico can use that metadata to route content to the correct page, workflow, audience segment, or approval queue. This is especially useful for organizations managing high volumes of regulated or customer-submitted content.

• Improves content governance and organization
• Enables automated routing to the right team
• Reduces misfiled or unsearchable documents

6. Customer onboarding and account setup automation

Data flow: Kentico to Azure AI Document Intelligence

Organizations can use Kentico as the front-end onboarding experience for new customers, partners, or members. Required documents such as IDs, tax forms, licenses, or signed agreements are uploaded through Kentico and processed by Azure AI Document Intelligence. Extracted information can populate onboarding records, trigger validation steps, and reduce the time needed to activate accounts.

• Shortens onboarding cycle times
• Improves data consistency across systems
• Supports scalable onboarding without adding staff

7. Compliance archive and searchable document repository

Data flow: Bi-directional

Kentico can serve as the user-facing repository for compliance-related documents, policies, and submitted records, while Azure AI Document Intelligence extracts searchable metadata and key fields. This makes it easier for internal teams to locate documents by customer, date, document type, or reference number. The integration also supports retention and audit processes by attaching structured metadata to stored files.

• Improves document search and retrieval
• Supports retention and audit requirements
• Helps compliance teams manage large document volumes

8. Analytics and reporting on document submission trends

Data flow: Azure AI Document Intelligence to Kentico

Extracted document data can be fed into Kentico reporting or connected analytics tools to track submission volumes, document types, completion rates, and processing bottlenecks. Business teams can use these insights to optimize portal design, identify common submission errors, and improve customer journeys.

• Provides visibility into document-heavy workflows
• Helps identify process inefficiencies
• Supports continuous improvement across operations and digital teams