Google Vision AI - OpenText Decision Service Integration and Automation

Common Integration Use Cases Between Google Vision AI and OpenText Decision Service

1. Automated image moderation with policy-based approval or escalation

Data flow: Google Vision AI ? OpenText Decision Service

Google Vision AI analyzes uploaded images for unsafe, explicit, violent, or otherwise policy-sensitive content. The detected labels and confidence scores are passed to OpenText Decision Service, which applies business rules to determine the next action. For example, low-risk content can be approved automatically, borderline cases can be routed to a human moderator, and high-risk content can be blocked immediately.

• Reduces manual review volume for content operations teams
• Ensures moderation decisions follow consistent, auditable rules
• Supports different policies by region, brand, or product line

2. OCR-driven document intake and exception handling

Data flow: Google Vision AI ? OpenText Decision Service

When invoices, claims forms, contracts, or identity documents are uploaded, Google Vision AI extracts text through OCR. OpenText Decision Service then evaluates the extracted data against business rules such as completeness, document type, threshold values, or required fields. Valid documents can move directly into downstream processing, while exceptions are routed to operations teams for correction or review.

• Speeds up document processing in finance, insurance, and shared services
• Improves first-pass automation rates
• Creates clear exception paths for incomplete or low-quality documents

3. Brand logo detection for rights management and competitive monitoring

Data flow: Google Vision AI ? OpenText Decision Service

Google Vision AI detects brand logos in images from social media, marketplaces, partner portals, or user-generated content. OpenText Decision Service applies rules to determine whether the image is authorized, requires legal review, or should trigger a brand protection workflow. The rules can vary by geography, campaign, partner type, or product category.

• Helps marketing and legal teams enforce brand usage policies
• Supports competitive intelligence and unauthorized reseller detection
• Enables faster response to brand misuse or trademark violations

4. Product image classification for catalog publishing decisions

Data flow: Google Vision AI ? OpenText Decision Service

In e-commerce or product information management workflows, Google Vision AI identifies product attributes such as color, packaging type, scene, or visible objects. OpenText Decision Service then determines whether the product image meets publishing standards, whether additional metadata is required, or whether the asset should be sent for merchandising review. This is especially useful when product images come from multiple suppliers with inconsistent quality.

• Improves catalog completeness and consistency
• Reduces manual merchandising effort
• Supports automated approval rules for image readiness

5. Accessibility labeling and content routing for inclusive publishing

Data flow: Google Vision AI ? OpenText Decision Service

Google Vision AI generates descriptive labels, detected objects, and text from images to support accessibility needs. OpenText Decision Service uses rules to decide whether the asset has sufficient metadata for publication, whether alt text must be generated or reviewed, and whether content should be held until accessibility requirements are met. This is valuable for digital publishing, public sector portals, and regulated industries.

• Supports accessibility compliance workflows
• Reduces risk of publishing incomplete content
• Creates a repeatable approval process for digital channels

6. Facial detection for people-centric content governance

Data flow: Google Vision AI ? OpenText Decision Service

Google Vision AI detects faces in images used in media libraries, HR portals, event galleries, or internal collaboration sites. OpenText Decision Service applies rules to determine whether the image can be published, whether consent verification is required, or whether the asset must be restricted to internal use. The decision logic can vary based on employee status, consent records, event type, or audience.

• Improves governance for people-focused media assets
• Supports privacy and consent controls
• Helps communications teams manage publishing risk

7. Smart asset routing based on detected content and business policy

Data flow: Google Vision AI ? OpenText Decision Service

When images are ingested into a digital asset management or case management system, Google Vision AI identifies the content type, and OpenText Decision Service decides the workflow path. For example, a scanned receipt may go to expense processing, a product photo may go to merchandising, and a sensitive image may go to compliance review. This creates a single intake process with automated routing based on image intelligence and business rules.

• Improves cross-team workflow efficiency
• Reduces manual triage at intake
• Enables scalable routing across departments and use cases

8. Dynamic decisioning for image quality and rework management

Data flow: Google Vision AI ? OpenText Decision Service

Google Vision AI can assess image characteristics such as blur, text visibility, and content presence. OpenText Decision Service uses these signals to decide whether the image is acceptable, should be re-captured, or needs manual intervention. This is useful in claims processing, field service, onboarding, and remote inspection workflows where image quality directly affects downstream decisions.

• Reduces processing delays caused by poor-quality submissions
• Improves downstream automation accuracy
• Creates clear operational rules for rework and escalation