Google Vision AI - OpenText Core Case Integration and Automation

Common Integration Use Cases Between Google Vision AI and OpenText Core Case

1. Automated document intake for case creation

Flow: Google Vision AI ? OpenText Core Case

When customers, partners, or field teams submit photos, scans, or screenshots as part of a claim, complaint, or service request, Google Vision AI can extract text, identify document type, and detect key visual elements. OpenText Core Case then uses that extracted information to automatically create or enrich a case with the right metadata, routing, and priority.

• Reduces manual data entry for intake teams
• Speeds up case registration and assignment
• Improves consistency in case classification

2. Claims evidence processing and case enrichment

Flow: Google Vision AI ? OpenText Core Case

In insurance or risk management workflows, claimants often submit photos of damage, receipts, or supporting documents. Google Vision AI can detect objects, read text from receipts, and identify relevant visual details such as vehicle damage or property conditions. OpenText Core Case stores the extracted evidence alongside the claim case, giving adjusters a complete view without manually reviewing every image first.

• Accelerates claim triage and review
• Improves evidence completeness in the case file
• Supports faster settlement decisions

3. Compliance review of user-submitted images

Flow: Google Vision AI ? OpenText Core Case

For regulated industries, images submitted through portals, mobile apps, or email can be screened by Google Vision AI for inappropriate content, sensitive text, or policy violations before they enter a compliance case. OpenText Core Case can then route flagged items to reviewers with the detected findings attached to the case for audit and resolution.

• Helps enforce content and policy controls
• Reduces exposure to non-compliant material
• Creates a documented review trail for auditors

4. Customer support case acceleration using screenshot analysis

Flow: Google Vision AI ? OpenText Core Case

Support teams frequently receive screenshots showing error messages, damaged UI states, or transaction confirmations. Google Vision AI can extract the visible text and identify the application context, allowing OpenText Core Case to classify the issue, suggest the correct queue, and attach the screenshot insights to the support case.

• Improves first-contact routing accuracy
• Shortens time to understand the issue
• Helps agents resolve cases faster with better context

5. Brand and trademark incident management

Flow: Google Vision AI ? OpenText Core Case

Marketing, legal, and compliance teams can monitor images from social media, marketplaces, or partner sites for logo usage and brand misuse. Google Vision AI detects logos and branded assets, then OpenText Core Case opens or updates a brand enforcement case with the image source, detected logo, and review status.

• Supports faster response to brand misuse
• Centralizes legal and marketing review in one case record
• Improves tracking of repeated violations and outcomes

6. Field service case documentation from photos

Flow: Google Vision AI ? OpenText Core Case

Technicians and inspectors can upload site photos from mobile devices. Google Vision AI identifies equipment, labels, serial numbers, and visible conditions, then OpenText Core Case attaches the extracted data to the service or inspection case. This gives supervisors and back-office teams a structured summary without manually reviewing every image.

• Improves quality of field documentation
• Reduces follow-up questions between teams
• Creates a more complete service history

7. Bi-directional case evidence retrieval and review

Flow: OpenText Core Case ? Google Vision AI and Google Vision AI ? OpenText Core Case

OpenText Core Case can send selected case attachments to Google Vision AI for analysis when a reviewer needs additional insight, such as OCR on a blurry document or detection of objects in a photo. The results are returned to the case as structured notes, tags, or extracted text, enabling analysts to work from a single case view while still benefiting from AI-assisted image understanding.

• Supports on-demand analysis during investigation
• Improves reviewer productivity on complex cases
• Keeps AI findings linked to the case record

8. Accessibility and searchable case archives

Flow: Google Vision AI ? OpenText Core Case

Organizations can use Google Vision AI to generate text descriptions and OCR output for images stored in case files, making them searchable and easier to review later. OpenText Core Case can store these enriched metadata fields so legal, compliance, and operations teams can quickly find cases by text found in images, document content, or visual attributes.

• Improves retrieval of historical case evidence
• Enhances accessibility for internal users
• Reduces time spent locating supporting documents