BRIA AI - OpenText Content Storage Service Integration and Automation

Common Integration Use Cases Between BRIA AI and OpenText Content Storage Service

BRIA AI and OpenText Content Storage Service complement each other well in enterprise content operations. BRIA AI creates and transforms visual assets at scale, while OpenText Content Storage Service provides secure, durable cloud object storage for large volumes of unstructured content. Together, they support efficient image production, controlled storage, and lifecycle management across marketing, e-commerce, and content operations teams.

1. Centralized storage for AI-generated image variants

BRIA AI can generate multiple versions of product or campaign images, and OpenText Content Storage Service can store those outputs as the enterprise system of record. This gives teams a secure repository for approved and draft assets, with consistent retention and lifecycle policies.

• Data flow: BRIA AI to OpenText Content Storage Service
• Business value: Reduces asset sprawl and ensures generated content is stored in a governed environment
• Typical users: Creative operations, digital asset management teams, compliance teams

2. Automated storage of campaign-ready visual assets for global teams

Marketing teams can use BRIA AI to create localized imagery for different regions, then automatically archive each approved version in OpenText Content Storage Service. This supports multi-market campaigns where teams need fast access to region-specific visuals without duplicating storage across systems.

• Data flow: BRIA AI to OpenText Content Storage Service
• Business value: Improves reuse of localized assets and simplifies regional content governance
• Typical users: Global marketing, regional brand teams, localization teams

3. Secure retention of source images and edited derivatives

Enterprises often need to keep both the original source image and all AI-edited derivatives for audit, brand review, or legal purposes. BRIA AI can send the original input files and generated outputs to OpenText Content Storage Service, creating a complete content history for each asset.

• Data flow: BRIA AI to OpenText Content Storage Service
• Business value: Supports traceability, audit readiness, and brand governance
• Typical users: Legal, brand management, compliance, creative teams

4. Content retrieval from storage to support AI editing workflows

Teams can pull approved product images or campaign visuals from OpenText Content Storage Service into BRIA AI for background replacement, object removal, or versioning. This allows existing enterprise content to be reused and enhanced without manual file handling.

• Data flow: OpenText Content Storage Service to BRIA AI
• Business value: Speeds up content refresh cycles and reduces the need for new photo shoots
• Typical users: E-commerce teams, creative studios, content production teams

5. Automated A/B testing asset management

BRIA AI can generate multiple creative variants for performance testing, and OpenText Content Storage Service can store each version with metadata such as campaign name, audience segment, and test ID. This makes it easier to organize, retrieve, and compare assets used in experimentation programs.

• Data flow: BRIA AI to OpenText Content Storage Service
• Business value: Improves experimentation governance and makes test assets easier to manage at scale
• Typical users: Performance marketing, analytics teams, creative operations

6. Lifecycle management for large image libraries

As BRIA AI produces high volumes of visual content, OpenText Content Storage Service can manage storage lifecycle rules for active, archived, and expired assets. This helps enterprises control storage costs while keeping approved content available for future reuse.

• Data flow: BRIA AI to OpenText Content Storage Service
• Business value: Lowers storage overhead and supports long-term content governance
• Typical users: IT operations, content platform owners, records management teams

7. Cloud migration of legacy creative libraries with AI enhancement

Organizations modernizing legacy image repositories can migrate existing visual content into OpenText Content Storage Service, then use BRIA AI to create updated versions, new backgrounds, or market-specific adaptations. This creates a practical path from static archives to active, reusable content libraries.

• Data flow: OpenText Content Storage Service to BRIA AI, then BRIA AI to OpenText Content Storage Service
• Business value: Extends the value of legacy assets and accelerates cloud content modernization
• Typical users: Digital transformation teams, creative operations, enterprise content managers

8. Controlled handoff between creative production and enterprise storage

BRIA AI can be used as the production layer for generating and refining visuals, while OpenText Content Storage Service serves as the controlled handoff point for approved assets before they move into downstream systems such as DAM, publishing, or commerce platforms. This creates a cleaner workflow between creation and enterprise distribution.

• Data flow: BRIA AI to OpenText Content Storage Service, with optional downstream integration
• Business value: Improves approval workflows and reduces the risk of unapproved assets entering production channels
• Typical users: Creative review teams, marketing operations, content governance teams