How do we scale AI visuals for audience experiences?

Set the experience structure before building the production system. For G42's Intelligence Grid update, the creative team first established how navigation and storytelling would work, then designed a custom content management system (CMS) to house the experience. The brief combined a revised structure, a look and feel matching G42's new brand identity, and AI-generated imagery and video to help visitors explore nine operating companies. Building from scratch offered creative freedom, but required reliable AI-assisted code and content production without sacrificing quality. Start by defining what visitors need to explore and how the stories connect, then establish the supporting content structure. Gartner argued in 2025 that generative-AI creative systems require substantial initial setup and ongoing oversight, while computational expenditure can offset traditional production savings.

Connect generation and processing within the content management system so editors can initiate a repeatable production flow. For G42's audience experience, the creative team used AI coding software to build the platform foundation in weeks, then integrated AI generation and automated video processing into the CMS. Editors could suggest prompts, generate multiple images and move the images into animation rather than handle every asset as an isolated task. Once operational, the system could produce more than 150 videos in a matter of days. The practical approach is to connect the stages around an editor-led workflow: prompting, generating alternatives and processing selected material into moving imagery. Automation supplies production capacity; editors still initiate the work and provide its prompts.

Curate the final visual set rather than treating every generated asset as ready for publication. For G42's Intelligence Grid 2.0, the production pipeline generated AI images, converted them into 3D models and animated them on green screens. Production that would normally take hours per video took minutes, enabling the team to create thousands of videos and curate around 170 for the final experience. Strategists, designers, writers and developers also used rapid prototyping to interrogate, validate and choose ideas. Use production speed to create room for selection, with cross-functional creative judgment deciding what belongs in the experience. The G42 example demonstrates production throughput and deliberate curation: a large pool of generated material became a much smaller final visual set.