BRIA AI - OpenText Core Experience Insights Integration and Automation

Common Integration Use Cases Between BRIA AI and OpenText Core Experience Insights

1. Measure engagement with AI-generated creative assets

Data flow: BRIA AI ? OpenText Core Experience Insights

BRIA AI can publish generated product images, campaign visuals, and localized creative variants into digital channels or content repositories, while OpenText Core Experience Insights tracks how users interact with those assets across websites, portals, and digital workplace experiences. Marketing and creative teams can compare click-through rates, dwell time, conversion impact, and content adoption by asset type, audience segment, or campaign.

Business value: Helps teams identify which AI-generated visuals perform best and which creative styles drive stronger engagement, enabling faster optimization of content strategy and better return on creative production investment.

2. Optimize A/B testing for product imagery and campaign visuals

Data flow: BRIA AI ? OpenText Core Experience Insights

BRIA AI can generate multiple image variants for the same product or campaign, such as different backgrounds, seasonal themes, or audience-specific versions. OpenText Core Experience Insights can then measure which variants receive the most interaction, engagement, or downstream conversion in connected digital experiences. Insights can be used to determine the best-performing visual treatments for specific markets or channels.

Business value: Reduces guesswork in creative selection and supports data-driven decisions for e-commerce, marketing, and merchandising teams.

3. Improve creative workflow adoption and content production efficiency

Data flow: OpenText Core Experience Insights ? BRIA AI

OpenText Core Experience Insights can reveal where content teams, marketers, or business users struggle with asset creation, reuse, or approval workflows. Those usage patterns can inform BRIA AI template design, automation rules, and recommended image generation presets. For example, if users frequently abandon manual editing steps, BRIA AI can be configured to automate those tasks or provide prebuilt visual variants.

Business value: Increases adoption of creative tools, reduces friction in content operations, and shortens time to publish.

4. Personalize visual content based on audience behavior

Data flow: OpenText Core Experience Insights ? BRIA AI

OpenText Core Experience Insights can identify audience preferences, content consumption patterns, and engagement trends across customer segments or employee groups. Those insights can be used to guide BRIA AI in generating more relevant imagery, such as region-specific product scenes, industry-specific visuals, or role-based content for internal communications. The result is a more targeted visual experience across channels.

Business value: Improves relevance of visual content, supports localization and segmentation strategies, and increases engagement across customer and employee experiences.

5. Track adoption of AI-enhanced content libraries

Data flow: BRIA AI ? OpenText Core Experience Insights

When BRIA AI enriches a digital asset library with new image variations, OpenText Core Experience Insights can monitor how often those assets are searched, previewed, reused, or published by internal teams. This helps content operations understand whether AI-generated assets are actually being adopted or whether teams continue to rely on legacy content.

Business value: Provides visibility into asset reuse, supports governance of content libraries, and helps justify investment in AI-assisted content generation.

6. Identify content gaps from user interaction patterns

Data flow: OpenText Core Experience Insights ? BRIA AI

OpenText Core Experience Insights can surface content gaps by showing where users disengage, fail to find relevant visuals, or spend excessive time searching for assets. Those signals can trigger BRIA AI workflows to generate missing image types, such as alternate product angles, new lifestyle scenes, or campaign-specific variants. Creative teams can then fill the gaps more quickly based on actual usage data.

Business value: Aligns content production with real demand, reduces manual research, and improves the completeness of asset libraries.

7. Support continuous improvement for digital workplace and customer experience programs

Data flow: Bi-directional

BRIA AI can supply new visual assets for portals, knowledge bases, intranets, and customer-facing experiences, while OpenText Core Experience Insights measures how those visuals affect engagement and task completion. The analytics can then feed back into BRIA AI content planning, helping teams refine image styles, formats, and use cases over time. This creates a closed-loop process for improving both content quality and user experience.

Business value: Enables ongoing optimization of digital experiences, improves content effectiveness, and supports measurable continuous improvement initiatives.