Client: VodafoneZiggo
Scope: AI image development, brand visual system, scalable content production

Every large brand faces the same tension eventually. The demand for visual content grows faster than any traditional production model can keep up with. Photography takes time. Shoots are expensive. And the result is often a library that's already dated by the time it's finished.

VodafoneZiggo brought us in to explore a different approach.

The question wasn't whether AI could generate images. It was whether AI could generate the right images, ones that felt unmistakably VodafoneZiggo, consistent in lighting, tone, subject matter and colour behaviour across office, retail and outdoor contexts.

We started by analysing the existing brand asset library in detail. Composition patterns, colour grading, how light behaved in their photography, what kinds of people and situations appeared and how they were framed. That analysis became the foundation for guiding generative image systems, not as a replacement for photography, but as a complementary production layer capable of creating on-brand visuals at a speed and scale that shoots cannot match.

From there we developed a series of modular visual directions. Each one flexible enough to iterate quickly, consistent enough to hold together across channels.

A key part of the process was stress-testing the system: how far could it stretch before it stopped feeling like VodafoneZiggo? That boundary between creative exploration and brand coherence became the most interesting creative territory of the project.

The result is a living image library. Faster to produce, broader in range, and consistent in a way that scales.