OpenAI - OpenText Core Capture Services Integration and Automation

Common Integration Use Cases Between OpenAI and OpenText Core Capture Services

1. Intelligent document classification and routing

Data flow: OpenText Core Capture Services ? OpenAI ? OpenText Core Capture Services

OpenText Core Capture Services ingests incoming documents such as invoices, claims, forms, and correspondence, then sends extracted text or metadata to OpenAI for deeper semantic classification. OpenAI can identify document intent, detect edge cases, and distinguish between similar document types that rule-based capture may misclassify. The enriched classification result is then returned to OpenText Core Capture Services to route the document to the correct workflow, queue, or approver.

Business value: Reduces manual triage, improves first-pass accuracy, and speeds up processing in digital mailroom and shared services operations.

2. Automated extraction of complex or unstructured fields

Data flow: OpenText Core Capture Services ? OpenAI ? OpenText Core Capture Services

For documents with inconsistent layouts, handwritten notes, or free-form correspondence, OpenText Core Capture Services can capture the document image and OCR output, then use OpenAI to infer missing context and extract business-relevant fields such as invoice references, customer names, issue descriptions, or contract terms. The structured output is sent back into OpenText Core Capture Services for validation and downstream processing.

Business value: Improves extraction quality for non-standard documents and reduces the need for manual keying and exception handling.

3. Exception handling and human review support

Data flow: OpenText Core Capture Services ? OpenAI ? OpenText Core Capture Services

When capture confidence is low or required fields are missing, OpenText Core Capture Services can pass the document content to OpenAI to generate a suggested interpretation, summary, or likely value based on context. Reviewers receive the original document alongside AI-generated recommendations, helping them resolve exceptions faster and with more consistency. The final approved data is then committed back into the capture workflow.

Business value: Shortens exception queues, improves reviewer productivity, and increases straight-through processing rates.

4. Customer onboarding document analysis

Data flow: OpenText Core Capture Services ? OpenAI ? downstream onboarding systems

In onboarding workflows, OpenText Core Capture Services captures identity documents, application forms, tax forms, and supporting correspondence. OpenAI can analyze the captured content to summarize customer risk indicators, identify missing documents, detect inconsistencies across submissions, and generate a concise onboarding summary for operations or compliance teams. The output can be pushed into CRM, case management, or onboarding platforms for faster decision-making.

Business value: Accelerates onboarding cycles, improves compliance review quality, and reduces back-and-forth with applicants.

5. Accounts payable invoice enrichment and validation

Data flow: OpenText Core Capture Services ? OpenAI ? ERP or AP workflow system

OpenText Core Capture Services captures invoice data and sends line items, vendor details, and supporting text to OpenAI for contextual validation. OpenAI can help identify unusual descriptions, flag potential duplicate invoices, summarize discrepancies between purchase orders and invoice language, and normalize vendor notes into structured fields. The enriched invoice record is then passed to the ERP or accounts payable approval workflow.

Business value: Reduces invoice exceptions, improves match accuracy, and supports faster payment processing with fewer manual interventions.

6. Digital mailroom summarization and case creation

Data flow: OpenText Core Capture Services ? OpenAI ? case management or ticketing system

OpenText Core Capture Services can ingest inbound mail, scan correspondence, and extract document text. OpenAI then generates a short summary, identifies the likely business topic, and suggests the appropriate case category or department. This enables automatic creation of service cases, claims, or requests with a clear summary and relevant metadata attached for the receiving team.

Business value: Improves mailroom throughput, reduces misrouted correspondence, and gives service teams immediate context.

7. Compliance and policy review of captured documents

Data flow: OpenText Core Capture Services ? OpenAI ? compliance or records systems

Captured documents such as contracts, forms, or regulated correspondence can be analyzed by OpenAI for policy-related language, missing disclosures, or potentially sensitive content. OpenAI can produce a review summary and highlight items that require legal, compliance, or records management attention. OpenText Core Capture Services can then store the review outcome and route the document accordingly.

Business value: Supports faster compliance screening, improves audit readiness, and helps teams focus on high-risk documents.

8. Multilingual document interpretation and translation support

Data flow: OpenText Core Capture Services ? OpenAI ? OpenText Core Capture Services or downstream systems

For organizations receiving documents in multiple languages, OpenText Core Capture Services can capture the source content and pass it to OpenAI for translation, summarization, and field interpretation. This is especially useful for international customer onboarding, global supplier invoices, and cross-border correspondence. The translated or normalized output can then be stored in the capture repository or forwarded to business systems in a standard language.

Business value: Enables centralized processing of multilingual documents, reduces reliance on specialized staff, and improves global operational consistency.