BRIA AI - OpenText Core Digital Asset Management Integration and Automation

Common Integration Use Cases Between BRIA AI and OpenText Core Digital Asset Management

1. AI-Generated Product Image Variations Stored Back into the DAM

Data flow: BRIA AI → OpenText Core Digital Asset Management

Marketing and e-commerce teams can use BRIA AI to generate multiple product image variations, such as different backgrounds, seasonal themes, or localized scenes, and automatically push approved outputs into OpenText Core Digital Asset Management. This keeps the DAM as the central repository for all final assets while reducing manual upload and tagging work.

• Speeds up campaign asset production
• Ensures all approved variants are centrally governed
• Improves reuse of generated assets across regions and channels

2. DAM Asset Retrieval for AI-Based Editing and Enhancement

Data flow: OpenText Core Digital Asset Management → BRIA AI

Teams can select approved source images from OpenText Core Digital Asset Management and send them to BRIA AI for editing tasks such as background replacement, object removal, resizing, or contextual adaptation. This supports faster creative turnaround without searching outside the controlled asset library.

• Reduces duplicate asset creation
• Preserves brand-approved source imagery
• Supports rapid creative adaptation for multiple campaigns

3. Automated Creation of Market-Specific Visuals from Master Assets

Data flow: OpenText Core Digital Asset Management → BRIA AI → OpenText Core Digital Asset Management

Global brands can store master product images in OpenText Core Digital Asset Management and use BRIA AI to generate localized versions for different markets, such as region-specific settings, cultural contexts, or language-neutral lifestyle imagery. The resulting assets are then returned to the DAM with market metadata for easy distribution.

• Enables localization at scale
• Reduces reliance on repeated photo shoots
• Improves speed to market for regional campaigns

4. Controlled A/B Testing Asset Production for Digital Campaigns

Data flow: OpenText Core Digital Asset Management → BRIA AI

Creative operations teams can pull a single approved asset from the DAM, generate multiple visual variants in BRIA AI, and store each version back in the DAM with campaign, audience, and test-group metadata. Media and performance teams can then select the best-performing version for paid social, display, or email campaigns.

• Supports structured creative testing
• Improves campaign optimization cycles
• Keeps test assets organized and traceable

5. Brand-Safe AI Content Governance and Approval Workflow

Data flow: BRIA AI → OpenText Core Digital Asset Management

Because BRIA AI is designed for commercial use with licensed training data, organizations can use it to generate content and then route final assets into OpenText Core Digital Asset Management for review, approval, and lifecycle management. This creates a controlled workflow for legal, brand, and marketing stakeholders before assets are published externally.

• Supports brand and compliance review
• Creates a clear approval trail
• Reduces risk of unapproved AI-generated content entering production

6. E-Commerce Catalog Image Refresh at Scale

Data flow: OpenText Core Digital Asset Management → BRIA AI → OpenText Core Digital Asset Management

E-commerce teams can use product images stored in OpenText Core Digital Asset Management as the source for BRIA AI to create refreshed catalog visuals, such as clean studio backgrounds, lifestyle scenes, or promotional variants for product detail pages and marketplace listings. Updated assets are then stored back in the DAM for syndication to commerce platforms.

• Improves product presentation without reshooting inventory
• Accelerates seasonal catalog updates
• Supports consistent imagery across channels

7. Centralized Asset Library Enrichment with AI-Generated Derivatives

Data flow: BRIA AI → OpenText Core Digital Asset Management

Creative teams can enrich the DAM by adding AI-generated derivatives alongside original assets, such as alternate crops, background-free versions, or campaign-specific adaptations. This expands the usable asset library and gives downstream teams more options without increasing manual design workload.

• Increases asset reuse across departments
• Improves search and discovery in the DAM
• Reduces dependency on design bottlenecks

8. Campaign Content Assembly for Multi-Channel Distribution

Data flow: OpenText Core Digital Asset Management → BRIA AI

Marketing operations teams can manage approved master assets in OpenText Core Digital Asset Management, send selected assets to BRIA AI for channel-specific adaptations, and return the final versions to the DAM for distribution to web, social, email, and retail media teams. This supports faster content assembly while maintaining a single source of truth.

• Streamlines multi-channel content production
• Improves consistency across touchpoints
• Helps teams scale creative output without expanding headcount