Adobe Experience Manager Assets - BRIA AI Integration and Automation

Common Integration Use Cases Between Adobe Experience Manager Assets and BRIA AI

1. AI-Generated Product Image Variations for Faster Campaign Production

Data flow: BRIA AI ? Adobe Experience Manager Assets

Marketing and e-commerce teams can use BRIA AI to generate multiple product image variations such as different backgrounds, seasonal scenes, and lifestyle contexts, then automatically push approved versions into Adobe Experience Manager Assets for centralized storage and distribution. This reduces the need for repeated studio photography and gives campaign teams a ready-to-use library of brand-approved visuals.

• Speeds up creation of campaign-ready imagery
• Reduces photography and retouching costs
• Keeps all approved variants governed in a single DAM

2. Asset Enrichment with AI-Generated Variants for A/B Testing

Data flow: Adobe Experience Manager Assets ? BRIA AI ? Adobe Experience Manager Assets

Teams can select a master asset from Adobe Experience Manager Assets, send it to BRIA AI to generate controlled variations for A/B testing, and then return the approved outputs to the DAM with metadata that identifies the test group, audience segment, and campaign. This supports structured experimentation across paid media, email, and web channels.

• Enables rapid creative testing at scale
• Improves conversion optimization workflows
• Maintains version control and traceability for test assets

3. Automated Background Replacement for Regional and Seasonal Localization

Data flow: Adobe Experience Manager Assets ? BRIA AI ? Adobe Experience Manager Assets

Global brands can use BRIA AI to replace backgrounds in existing product photography so the same core asset can be adapted for different markets, holidays, climates, or retail contexts. The localized versions are then stored in Adobe Experience Manager Assets with region-specific metadata and usage rights, allowing local teams to access approved imagery without duplicating production work.

• Supports faster localization of visual content
• Reduces dependency on region-specific photo shoots
• Improves consistency across global brand campaigns

4. AI-Assisted Content Refresh for Legacy Asset Libraries

Data flow: Adobe Experience Manager Assets ? BRIA AI ? Adobe Experience Manager Assets

Organizations with large legacy asset libraries can send underused or outdated images from Adobe Experience Manager Assets to BRIA AI for enhancement, cleanup, or contextual updates such as removing distracting elements, modernizing backgrounds, or creating fresher compositions. The refreshed assets can then be reintroduced into the DAM with updated metadata and usage guidance.

• Extends the value of existing creative investments
• Reduces the need to recreate content from scratch
• Improves asset reuse across campaigns and channels

5. Scalable Creative Production for E-Commerce Catalogs

Data flow: Adobe Experience Manager Assets ? BRIA AI

E-commerce teams can use Adobe Experience Manager Assets as the source of approved product imagery and BRIA AI to generate large volumes of catalog-ready visuals for different product categories, colorways, and merchandising scenarios. Final assets are returned to the DAM with structured metadata so they can be distributed to product detail pages, marketplaces, and promotional placements.

• Accelerates catalog content production
• Supports high-volume merchandising needs
• Improves consistency of product presentation across channels

6. Brand-Safe Generative Content Workflow with Approval and Governance

Data flow: Adobe Experience Manager Assets ? BRIA AI ? Adobe Experience Manager Assets

Creative operations teams can use Adobe Experience Manager Assets as the governance layer for source files and approved outputs, while BRIA AI handles generation and manipulation. Assets can move through a controlled workflow where only reviewed and approved AI-generated content is published back into the DAM, helping organizations maintain brand standards and commercial usage compliance.

• Supports controlled use of generative AI in enterprise workflows
• Improves compliance and brand governance
• Creates a clear approval trail for creative teams

7. Personalized Visual Content for Audience Segments and Campaigns

Data flow: Adobe Experience Manager Assets ? BRIA AI ? Adobe Experience Manager Assets

Marketing teams can generate audience-specific imagery by sending approved master assets from Adobe Experience Manager Assets to BRIA AI for adaptation by segment, such as industry, geography, or customer persona. The resulting variants are stored back in the DAM and tagged for use in targeted email, paid social, landing pages, and account-based marketing campaigns.

• Enables more relevant visual personalization
• Improves campaign performance across segments
• Reduces manual creative adaptation effort

8. AI-Generated Asset Library Expansion for Faster Creative Reuse

Data flow: BRIA AI ? Adobe Experience Manager Assets

When creative teams need to expand a limited asset set, BRIA AI can generate additional approved visuals that are then ingested into Adobe Experience Manager Assets as searchable, reusable content. This gives designers, marketers, and web teams a broader library of on-brand imagery to support future campaigns without waiting for new production cycles.

• Expands the DAM library with commercially usable visuals
• Improves asset availability for downstream teams
• Shortens time to launch for new initiatives