BRIA AI - OpenText Core Content - Metadata Integration and Automation

Common Integration Use Cases Between BRIA AI and OpenText Core Content - Metadata

1. AI-Generated Asset Classification at Ingestion

Data flow: BRIA AI ? OpenText Core Content - Metadata

When BRIA AI generates new product images, campaign visuals, or localized creative variants, the assets can be automatically pushed into OpenText Core Content with required metadata applied at ingestion. OpenText Core Content enforces naming conventions, content type, market, product line, usage rights, and campaign tags so every generated asset is searchable and governed from the start.

Business value: Reduces manual tagging effort, improves findability, and ensures AI-generated content enters the repository with consistent governance.

2. Metadata-Driven Image Generation Requests

Data flow: OpenText Core Content - Metadata ? BRIA AI

Marketing or creative teams can use metadata stored in OpenText Core Content to drive image generation requests in BRIA AI. For example, product category, target region, seasonal campaign, or audience segment metadata can be used to generate the correct visual variant without re-entering specifications manually.

Business value: Speeds up creative production, reduces briefing errors, and aligns generated content with approved business taxonomy.

3. Controlled Vocabulary for Brand-Safe Visual Variants

Data flow: Bi-directional

OpenText Core Content can provide controlled vocabularies for product attributes, campaign themes, and market descriptors that BRIA AI uses when generating or editing images. In return, BRIA AI can write back the selected metadata values used for each asset, creating a traceable link between the creative output and the approved classification scheme.

Business value: Improves brand consistency across channels and reduces the risk of inconsistent or non-compliant asset descriptions.

4. Automated Metadata Assignment for A/B Test Creative Sets

Data flow: BRIA AI ? OpenText Core Content - Metadata

BRIA AI can generate multiple image variants for A/B testing, such as different backgrounds, product placements, or lifestyle contexts. OpenText Core Content can automatically assign metadata such as test group, channel, audience segment, and version number so performance teams can track which creative was used in each experiment.

Business value: Supports faster experimentation, cleaner reporting, and better attribution of campaign performance to specific visual variants.

5. Localization and Market-Specific Asset Governance

Data flow: OpenText Core Content - Metadata ? BRIA AI and BRIA AI ? OpenText Core Content - Metadata

Global marketing teams can store market, language, region, and regulatory metadata in OpenText Core Content and use it to trigger BRIA AI to create localized imagery for specific countries or customer segments. Once generated, the localized assets are returned to OpenText Core Content with the correct market metadata and approval status.

Business value: Accelerates localization workflows, supports regional compliance, and reduces the manual effort required to manage multi-market creative libraries.

6. Rights and Usage Metadata for Commercial AI Assets

Data flow: BRIA AI ? OpenText Core Content - Metadata

Because BRIA AI is designed for commercial use, generated assets can be enriched in OpenText Core Content with metadata covering usage rights, license status, approved channels, expiration dates, and permitted geographies. This is especially useful for organizations that need strict control over where AI-generated imagery can be published.

Business value: Strengthens compliance, reduces legal risk, and helps teams avoid accidental misuse of licensed creative assets.

7. Search and Retrieval of AI-Generated Content by Business Context

Data flow: BRIA AI ? OpenText Core Content - Metadata

As BRIA AI produces large volumes of visual content, OpenText Core Content can classify each asset by product, campaign, audience, and channel so users can quickly retrieve the right image for reuse. Creative operations teams can search by business context rather than file name or folder structure.

Business value: Improves asset reuse, shortens content turnaround time, and reduces duplicate creative production.

8. Approval Workflow for Generated Visual Content

Data flow: Bi-directional

BRIA AI can submit newly generated or edited images into OpenText Core Content for metadata validation and approval routing. OpenText Core Content can enforce required fields and route assets to brand, legal, or regional reviewers before the content is released for use in campaigns or e-commerce listings.

Business value: Creates a controlled production workflow, improves governance, and ensures only approved AI-generated assets are published.