OpenText Identity and Access Management - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Identity and Access Management and Google Document AI

OpenText Identity and Access Management provides centralized identity, authentication, single sign-on, and role-based access control for OpenText environments, while Google Document AI extracts structured data from scanned documents, forms, invoices, contracts, and other business content. Together, they can support secure, governed document processing workflows across enterprise teams.

1. Secure access to document processing applications and queues

Data flow: OpenText Identity and Access Management to Google Document AI enabled applications

Use OpenText Identity and Access Management to control which users can access Document AI powered intake portals, review queues, and exception handling dashboards. Employees in finance, legal, HR, or operations can be granted access based on role, region, or business unit, ensuring only authorized staff can submit, review, or approve sensitive documents.

Business value: Reduces unauthorized access to confidential documents, simplifies user administration, and supports audit readiness.

2. Role based routing of extracted documents for downstream review

Data flow: Google Document AI to OpenText Identity and Access Management governed workflows

After Google Document AI extracts data from invoices, claims, contracts, or onboarding forms, the resulting records can be routed to OpenText managed workflows where access is assigned based on user roles. For example, tax documents can be routed only to finance approvers, while employee records are restricted to HR personnel.

Business value: Improves processing accuracy and ensures sensitive content is reviewed only by the right teams.

3. Secure single sign on for document operations teams

Data flow: OpenText Identity and Access Management to Google Document AI user interfaces and connected portals

Integrate OpenText Identity and Access Management with portals or applications that trigger Google Document AI processing so users authenticate once and access all approved document services without repeated logins. This is especially useful for shared service centers handling high volumes of claims, invoices, or customer onboarding packets.

Business value: Reduces login friction, lowers help desk tickets, and improves productivity for operational teams.

4. Controlled access to extracted data for analytics and reporting

Data flow: Google Document AI to analytics repositories governed by OpenText Identity and Access Management

Document AI extracted fields can be published to reporting systems or data stores, with OpenText Identity and Access Management enforcing who can view, export, or modify the data. This is useful when extracted information feeds dashboards for procurement, compliance, or customer operations.

Business value: Enables broader use of document intelligence while maintaining strict access controls over business sensitive data.

5. Identity governed exception handling for low confidence document extraction

Data flow: Google Document AI to OpenText Identity and Access Management controlled exception queues

When Google Document AI returns low confidence results or flags missing fields, the exception can be sent to a secure OpenText workflow queue. OpenText Identity and Access Management ensures only trained reviewers, such as AP specialists or compliance analysts, can correct the data and approve the record.

Business value: Speeds resolution of exceptions, improves data quality, and reduces processing delays.

6. Access controlled processing of regulated documents

Data flow: Bi directional between OpenText Identity and Access Management and Google Document AI workflows

For regulated content such as KYC documents, insurance claims, medical forms, or legal agreements, OpenText Identity and Access Management can enforce strong authentication and least privilege access before documents are submitted to Google Document AI. After extraction, the results can be restricted to approved compliance or case management teams.

Business value: Supports regulatory compliance, reduces exposure of sensitive data, and strengthens audit trails.

7. Automated onboarding and offboarding for document processing users

Data flow: OpenText Identity and Access Management to Google Document AI related applications and service accounts

Use OpenText Identity and Access Management to provision and revoke access for employees, contractors, and service accounts involved in Document AI based workflows. When a user joins a team, they can automatically receive access to the correct document queues and review tools. When they leave, access is removed immediately.

Business value: Reduces manual administration, improves security posture, and prevents orphaned access to sensitive document data.

8. Secure collaboration across departments on document driven processes

Data flow: Bi directional between OpenText Identity and Access Management and Google Document AI enabled collaboration workflows

In cross functional processes such as vendor onboarding, loan processing, or contract review, Google Document AI can extract key information and OpenText Identity and Access Management can ensure each department sees only the fields and documents relevant to their responsibilities. Procurement, legal, finance, and operations can collaborate in a controlled workflow without exposing unnecessary information.

Business value: Improves cross team coordination, shortens cycle times, and limits data exposure across departments.