OpenText Directory Services - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Directory Services and Google Document AI

1. Identity-Governed Document Processing for Sensitive Business Records

Data flow: OpenText Directory Services ? Google Document AI

Use OpenText Directory Services to provide user, group, and role information that determines who can submit documents into Google Document AI for processing and which document types they are authorized to handle. For example, HR staff can upload employee forms, while finance users can process invoices and payment documents. This ensures document ingestion and classification are controlled by enterprise identity rules before extraction begins.

Business value: Reduces unauthorized document handling, improves compliance, and ensures the right teams process the right records.

2. Automated Routing of Extracted Documents Based on User and Group Membership

Data flow: Google Document AI ? OpenText Directory Services

After Google Document AI extracts data from invoices, contracts, claims, or onboarding forms, the results can be routed to the correct OpenText-managed user groups based on document type, business unit, or region. For example, invoices from a European supplier can be assigned to the AP team in the EMEA directory group, while contract exceptions can be sent to legal reviewers with the appropriate role.

Business value: Speeds up review cycles, reduces manual triage, and improves accountability across departments.

3. Role-Based Access Control for Document AI Review Workflows

Data flow: Bi-directional

OpenText Directory Services can supply identity and role data to control who can access Google Document AI review queues, validation screens, and exception workflows. In return, Google Document AI can send processing status and exception flags back to OpenText-driven workflow systems so only authorized users can resolve issues. This is especially useful for regulated processes such as loan applications, insurance claims, and supplier onboarding.

Business value: Enforces least-privilege access, supports auditability, and reduces processing errors in sensitive workflows.

4. Document Classification and Metadata Enrichment for Enterprise Records Management

Data flow: Google Document AI ? OpenText Directory Services

Google Document AI can extract document metadata such as document type, vendor name, customer ID, contract dates, or invoice totals. That metadata can then be associated with the correct user, department, or business unit in OpenText Directory Services for downstream access control and records management. For example, a contract extracted by Document AI can be tagged to the legal team?s directory group for retention and review.

Business value: Improves searchability, supports retention policies, and makes enterprise content easier to govern.

5. Exception Handling and Escalation to the Correct Business Owners

Data flow: Google Document AI ? OpenText Directory Services

When Google Document AI cannot confidently extract key fields or detects missing information, it can trigger an exception workflow that uses OpenText Directory Services to identify the correct approver, reviewer, or subject matter expert. For instance, a mismatched supplier tax ID can be escalated to the AP manager group, while a missing signature on a contract can be routed to the legal operations team.

Business value: Reduces processing delays, improves exception resolution, and keeps work moving without manual assignment.

6. Secure Onboarding of New Users for Document Processing Programs

Data flow: OpenText Directory Services ? Google Document AI

When new employees, contractors, or partners are added to OpenText Directory Services, their identity and group membership can automatically determine whether they receive access to Google Document AI workflows, templates, and document queues. For example, a newly hired claims analyst can be provisioned into the correct processing group on day one without manual setup.

Business value: Accelerates onboarding, reduces IT administration, and ensures access is aligned with job role from the start.

7. Audit and Compliance Reporting for Document Processing Activities

Data flow: Bi-directional

OpenText Directory Services can provide the authoritative identity context for who accessed or approved documents, while Google Document AI provides processing timestamps, extraction outcomes, and exception history. Together, they support audit reporting for regulated processes such as finance, healthcare, and legal operations. For example, auditors can trace which user group reviewed a document, when it was processed, and whether any manual corrections were made.

Business value: Strengthens compliance reporting, improves traceability, and simplifies internal and external audits.

8. Department-Specific Document Processing Templates and Access Policies

Data flow: OpenText Directory Services ? Google Document AI

OpenText Directory Services can be used to identify department, region, or role so Google Document AI applies the correct processing template and validation rules. For example, procurement users may use one extraction model for purchase orders, while HR users use another for employee documents. Access policies can also ensure that users only see the templates and outputs relevant to their business function.

Business value: Improves processing accuracy, reduces configuration complexity, and supports scalable enterprise deployment across teams.