GMA Deployed Phase 1 Long-to-Short Video Automation in AWS

Overview

GMA wanted to reduce the manual work required to turn long-form content into short-form assets for editors and distribution teams. Pixel ML built Phase 1 of a long-to-short workflow through AgenticFlow Enterprise in GMA’s environment, now in active editorial use.

Challenges

• Fragmented workflows: Editors had to move between multiple tools to search, clip, summarize, and prepare content.
• Manual effort: Long-to-short conversion required too much repetitive editorial work.
• Team rollout: The customer needed a controlled environment with a practical path to team adoption, not a one-off demo.
• Governance needs: Editorial workflows required review checkpoints and operational visibility.

Solution

Phase 1 Delivery

Pixel ML delivered the first phase of the workflow focused on long-to-short video transformation through AgenticFlow Enterprise.

Agentic Workflow Design

The broader system design combines search, summarization, clipping, and packaging into a governed editorial workflow with human review at important checkpoints.

Rollout to Editors

The current stage is team rollout. The platform is being introduced to the editorial team so it becomes part of day-to-day production.

Results

• Phase 1 was delivered
• The long-to-short workflow was deployed in the customer's AWS environment
• The system is now in active editorial use

Why It Matters

This case shows Pixel ML delivering Agentic AI systems that run in customer cloud and support day-to-day operations.

Public System Outline

High-level system architecture for this deployment.