Hurix Digital Builds a Scalable Video Evaluation Framework for AI-Generated Content

As AI-generated media becomes more mainstream, businesses are exploring its potential to accelerate creative workflows. But scaling AI video content isn’t easy, especially when it comes to choosing the right video from multiple AI outputs.

One of our clients, a global leader in business process management, encountered this issue during AI-driven video creation tests. The AI would generate two variations from a single text prompt. While choosing the better option should have been straightforward, it instead created quite some friction among the reviewers.

Reviewers struggled with subjectivity. Some videos were too short, others failed to capture critical details, and decisions varied from person to person. Without a consistent evaluation process, quality suffered, timelines stretched, and scaling AI video production became unreliable.

Hurix Digital developed a scalable video evaluation framework that provides reviewers with a clear, structured, and repeatable decision-making process. This setup replaces reliance on gut instincts with auditable steps for accurate and consistent video selection.

The results were immediate:

• Improved alignment between videos and text prompts
• Higher-quality outputs with stronger visual appeal
• A scalable system to support the client’s broader AI content strategy

Download the full case study to see how structured evaluation can make your AI content strategy scalable.