Amazon S3 - OpenText Core Capture Services Integration and Automation

Common Integration Use Cases Between Amazon S3 and OpenText Core Capture Services

1. Centralized document intake and archival

Data flow: Amazon S3 to OpenText Core Capture Services

Organizations often store incoming documents, scanned files, and uploaded forms in Amazon S3 as a low-cost, scalable landing zone. OpenText Core Capture Services can then retrieve these files for classification and data extraction. This is useful for high-volume document intake such as vendor invoices, HR forms, claims packets, and customer correspondence.

• Business value: reduces manual file handling and creates a consistent intake process
• Operational benefit: separates storage from processing, allowing capture teams to scale independently
• Typical users: shared services, accounts payable, mailroom operations, records management

2. Automated invoice processing from cloud storage

Data flow: Amazon S3 to OpenText Core Capture Services to downstream ERP or workflow systems

Invoices received by email, portal upload, or scanning can be stored in Amazon S3 before being processed by OpenText Core Capture Services. The capture platform extracts invoice number, supplier name, line items, totals, and tax details, then passes structured data to approval workflows or ERP systems for matching and posting.

• Business value: accelerates accounts payable cycles and reduces invoice exceptions
• Operational benefit: improves straight-through processing for high-volume AP teams
• Typical users: finance operations, procurement, AP shared services

3. Digital mailroom document classification

Data flow: Amazon S3 to OpenText Core Capture Services

Incoming mail, scanned correspondence, and uploaded attachments can be deposited into Amazon S3 from a centralized digital mailroom. OpenText Core Capture Services classifies each document by type, extracts key metadata, and routes it to the correct business queue or case management process. This supports departments handling large volumes of customer letters, legal notices, or service requests.

• Business value: shortens response times and improves document routing accuracy
• Operational benefit: eliminates manual sorting and reduces misdirected documents
• Typical users: customer service, legal operations, claims processing, shared services

4. Customer onboarding document verification

Data flow: Amazon S3 to OpenText Core Capture Services to onboarding workflow systems

During customer onboarding, identity documents, tax forms, proof of address, and signed agreements can be stored in Amazon S3 as they are submitted through portals or mobile apps. OpenText Core Capture Services extracts and validates the required data, helping onboarding teams confirm completeness before the case moves forward.

• Business value: reduces onboarding delays and improves compliance
• Operational benefit: standardizes document review across regions and teams
• Typical users: banking, insurance, telecom, and B2B customer operations

5. Secure document staging for multi-step review

Data flow: Bi-directional between Amazon S3 and OpenText Core Capture Services

Amazon S3 can act as a secure staging area for documents that require multiple review stages. OpenText Core Capture Services extracts data from the documents, and the resulting metadata or validation status can be written back to S3 alongside the original file or a processed version. This supports audit-ready workflows where documents move between capture, review, and approval teams.

• Business value: improves traceability and auditability
• Operational benefit: keeps original and processed content aligned in one storage layer
• Typical users: compliance, finance, operations, records teams

6. Exception handling and reprocessing of unreadable documents

Data flow: OpenText Core Capture Services to Amazon S3

When OpenText Core Capture Services cannot confidently classify or extract data from a document, the file and exception details can be written to Amazon S3 for retention, escalation, or reprocessing. Operations teams can review these items later, apply manual corrections, and resend them into the capture process.

• Business value: reduces lost documents and supports controlled exception management
• Operational benefit: creates a reliable fallback path for poor-quality scans or unusual formats
• Typical users: capture operations, quality assurance, back-office support

7. Long-term retention of captured documents and metadata

Data flow: OpenText Core Capture Services to Amazon S3

After documents are classified and extracted, the original files, enriched metadata, and processing outputs can be archived in Amazon S3 for long-term retention. This is useful for organizations that need scalable storage for compliance, legal hold, or future retrieval without keeping all content in the capture system.

• Business value: lowers storage costs while preserving access to business records
• Operational benefit: supports retention policies and simplifies lifecycle management
• Typical users: records management, compliance, legal, IT operations

8. Batch processing for high-volume document backlogs

Data flow: Amazon S3 to OpenText Core Capture Services

Enterprises with document backlogs can place large batches of historical files in Amazon S3 and process them through OpenText Core Capture Services in controlled waves. This is especially useful for digitization projects, migration of legacy paper archives, or seasonal spikes in claims and application intake.

• Business value: enables rapid backlog reduction without disrupting live operations
• Operational benefit: supports scalable batch capture and phased processing
• Typical users: transformation programs, operations excellence teams, document conversion teams