Consonance - BRIA AI Integration and Automation

Common Integration Use Cases Between Consonance and BRIA AI

1. AI-Generated Cover and Jacket Concept Creation for New Titles

Data flow: Consonance ? BRIA AI ? Consonance

When a manuscript moves into design, Consonance can send title metadata, genre, audience, trim size, and positioning notes to BRIA AI to generate multiple cover concepts or jacket imagery options. Design teams can review the generated variations, select preferred assets, and push the approved files back into Consonance as linked cover assets for production and downstream publishing workflows.

Business value: Speeds up early-stage cover exploration, reduces dependency on manual mockup creation, and helps publishers evaluate more concepts before committing to final artwork.

2. Automated Image Variations for Multi-Format and Multi-Market Publishing

Data flow: Consonance ? BRIA AI ? Consonance

Consonance can trigger BRIA AI to create localized or format-specific image variants for different editions, such as hardcover, paperback, ebook, audio, or regional market releases. For example, the same title metadata can drive alternate cover treatments, background changes, or audience-specific imagery for different imprints or territories. The approved variants are then stored back in Consonance and associated with the correct edition and market record.

Business value: Supports faster international and multi-edition publishing while reducing repetitive design work across versions of the same title.

3. Rights-Safe Marketing Asset Production for Upcoming Releases

Data flow: Consonance ? BRIA AI ? Consonance

As a title approaches publication, Consonance can provide key metadata such as release date, author, category, and campaign notes to BRIA AI so marketing teams can generate promotional visuals, social banners, and ad creatives aligned to the book?s positioning. Because BRIA AI is designed for commercially licensed generation, publishers can use it to produce campaign imagery without relying on unapproved third-party assets. Final assets are linked back to the title record in Consonance for coordinated launch planning.

Business value: Accelerates campaign readiness, improves consistency between editorial and marketing teams, and reduces legal and licensing risk.

4. Metadata-Driven Asset Enrichment for Title Records

Data flow: Consonance ? BRIA AI ? Consonance

Consonance can pass structured metadata such as subject, audience age range, tone, setting, and keywords to BRIA AI to generate contextual imagery that enriches the title?s asset library. This is useful for creating chapter opener visuals, internal presentation images, catalog thumbnails, or promotional illustrations that reflect the book?s content. The generated assets can then be attached to the title record in Consonance for use by editorial, sales, and marketing teams.

Business value: Improves discoverability and content presentation while giving teams a faster way to produce relevant supporting visuals.

5. Editorial and Production Review Workflow for AI-Generated Visuals

Data flow: Consonance ? BRIA AI

Consonance can manage the approval workflow for AI-generated visuals by routing BRIA AI outputs through editorial, legal, and production review stages. Teams can request revisions such as background changes, object removal, or style adjustments directly from the publishing workflow, then send updated instructions back to BRIA AI. Once approved, the final asset is locked in Consonance and used in production or marketing deliverables.

Business value: Creates a controlled review process for AI-generated content, ensuring brand consistency, compliance, and production readiness.

6. Faster Sales and Catalog Asset Creation for Retail and Distribution Channels

Data flow: Consonance ? BRIA AI ? Consonance ? downstream distribution systems

Consonance can send title and product metadata to BRIA AI to generate standardized retail-ready imagery such as clean product shots, contextual lifestyle visuals, or category-specific thumbnails. These assets can then be attached to the title record in Consonance and distributed with metadata to sales channels, online retailers, and industry databases. This is especially useful when publishers need multiple image formats for different channel requirements.

Business value: Improves catalog presentation across channels, reduces manual image production effort, and helps titles launch with complete asset packages.

7. AI-Assisted Backlist Refresh and Repackaging

Data flow: Consonance ? BRIA AI ? Consonance

For backlist titles that need renewed market visibility, Consonance can identify eligible titles based on sales performance, age, or campaign plans and send their metadata to BRIA AI for refreshed imagery. BRIA AI can generate updated covers, promotional visuals, or themed campaign assets to support reissues, anniversary editions, or seasonal promotions. The refreshed assets are then linked to the existing title records in Consonance and routed into production or marketing workflows.

Business value: Extends the commercial life of backlist titles and gives publishers a cost-effective way to relaunch existing content.

8. Centralized Asset Governance Across Publishing and Creative Operations

Data flow: Bi-directional

Consonance can serve as the system of record for title metadata, workflow status, and approved publishing assets, while BRIA AI serves as the generation engine for new visual content. Integration allows creative teams to request assets from within the publishing workflow, and Consonance to store the approved outputs with version history, usage context, and title associations. This creates a governed process for managing AI-generated visuals across editorial, production, and marketing teams.

Business value: Strengthens asset governance, improves collaboration across departments, and ensures that generated visuals remain tied to the correct title, edition, and usage rights.