OpenText Exstream - Google Document AI Integration and Automation

Common Integration Use Cases Between OpenText Exstream and Google Document AI

1. Automated Intake of Customer-Submitted Documents into Communication Workflows

Data flow: Google Document AI ? OpenText Exstream

Google Document AI can extract structured data from incoming customer documents such as claim forms, proof of address, signed applications, or dispute letters. That extracted data can then be passed into OpenText Exstream to generate the next customer communication, such as an acknowledgment letter, request for missing information, policy update, or case-specific notice.

Business value: Reduces manual data entry, speeds up response times, and ensures customer communications are personalized and consistent based on the actual content of submitted documents.

2. Document Classification and Routing for Personalized Correspondence

Data flow: Google Document AI ? OpenText Exstream

Google Document AI can classify incoming documents by type, such as invoice, appeal, complaint, or application. Based on the classification and extracted fields, OpenText Exstream can trigger the correct communication template and channel, such as email, print, or web delivery. For example, a mortgage lender can automatically generate a missing-document notice when a scanned application packet is incomplete.

Business value: Improves routing accuracy, reduces processing delays, and helps operations teams handle high volumes of inbound documents with less manual intervention.

3. Exception Handling for Incomplete or Low-Confidence Document Extraction

Data flow: Google Document AI ? OpenText Exstream

When Google Document AI cannot confidently extract all required fields from a document, the exception can be sent to OpenText Exstream to generate a targeted follow-up communication requesting only the missing or unclear information. This is useful for insurance claims, account opening, and regulatory correspondence where completeness is critical.

Business value: Creates a controlled exception workflow, reduces back-and-forth with customers, and shortens cycle times for document-dependent processes.

4. Compliance Review and Evidence Capture for Regulated Communications

Data flow: OpenText Exstream ? Google Document AI

OpenText Exstream generates regulated customer communications such as policy notices, billing statements, or disclosures. Those generated documents can be sent to Google Document AI for extraction and validation of key fields, such as dates, amounts, policy numbers, or required legal language. The extracted data can then be compared against source records to support compliance checks and audit evidence.

Business value: Helps compliance teams verify that outbound communications contain the correct information before or after delivery, reducing regulatory risk and improving audit readiness.

5. Customer Response Processing for Billing, Claims, and Service Requests

Data flow: Google Document AI ? OpenText Exstream

Customers often respond to statements, claims letters, or service notices with forms, supporting documents, or handwritten correspondence. Google Document AI can extract the response details and feed them into OpenText Exstream to generate the appropriate next-step communication, such as payment confirmation, claim acknowledgment, or service case update.

Business value: Enables faster response handling, improves customer experience, and supports straight-through processing for high-volume service operations.

6. Legacy Document Digitization and Communication Modernization

Data flow: Google Document AI ? OpenText Exstream

Organizations with large archives of scanned letters, policy documents, or account records can use Google Document AI to digitize and extract the relevant data. OpenText Exstream can then use that data to recreate standardized customer communications in modern templates and channels, replacing manual rekeying and outdated document formats.

Business value: Supports modernization programs, reduces dependence on legacy paper archives, and improves the consistency of customer-facing output across channels.

7. Closed-Loop Communication Tracking and Case Updates

Data flow: Bi-directional

OpenText Exstream generates outbound communications such as notices, reminders, or requests for action. When customers reply with documents, Google Document AI extracts the response details and sends them back into the case or communication workflow. OpenText Exstream can then generate the next communication based on the updated case status, creating a closed-loop process for claims, collections, onboarding, or dispute resolution.

Business value: Improves workflow visibility, reduces manual follow-up, and ensures customers receive timely, status-based communications throughout the process.

8. Quality Assurance for High-Volume Customer Communications

Data flow: OpenText Exstream ? Google Document AI

OpenText Exstream produces large volumes of customer communications, such as monthly statements, renewal letters, or notices. Google Document AI can be used to sample and extract key fields from generated output to verify that the correct customer data, amounts, dates, and message content were rendered accurately before or after distribution.

Business value: Strengthens quality control, reduces reprint and remediation costs, and helps operations teams detect template or data issues early in the communication lifecycle.