To generate does not mean to invent

How the branding agency Depot compiles case studies, rankings, and dynamic visuals on Phygital+ using ideas and AI-driven pipelines

The Depot and Phygital+ Logos
Industry

Branding / Marketing Agency

Team

Design and Creative Services at a Branding Agency

Example of use

Case study visuals, mockups, mascots, animation, special projects

Results

Time saving

~4 hours

to convert the mascot from 2D to 3D and animate banners instead of the traditional long production cycle

Increased Efficiency

Full day / half day

to the hero screen of the special ranking project and to the seasonal package of internal splash screens based on the already assembled pipeline

Challenge

Depot—a branding agency with nearly 30 years of history—collects visuals every day for which it is accountable to the client: case studies, media, characters, and special projects. Disparate neural networks provided speed but did not alleviate the main burden—bringing an idea to a defensible result. With Phygital+, the team transitioned to repeatable pipelines: generation based on creative briefs and guided by an experienced art director.

Mockups, stock images, Photoshop, and classic 3D modeling ate up hours of work on something that needed to be delivered “yesterday.”

When there are too many generations, it’s easy to lose sight of the task at hand: lots of images, but little meaning.

For the agency, “roughly similar” isn’t enough: the character, the spokesperson, and the style must fully align with the concept and the brand book.

Depot - the project build process

"Generating doesn't mean inventing. You need ideas to produce strong results."

— Alina Vasilyeva, Designer, Depot

Decision

One platform. Pipelines for your ideas

Phygital+ has become Depot’s AI workshop: in a single space, the team maintains the context of the task, compiles master prompts, generates and animates visuals—and then refines them using familiar tools like After Effects and Figma.

Designers bring the mascot to life, create case mockups and merchandise, produce cards and hero videos for high-profile special projects, and wrap internal events in a seasonal visual language without requiring separate 3D production for each task.

Flux
Nano Banana
Upscale
ChatGPT
The Branding Development Process - Depot

"You act as the art director of your neural network: you stop the search at the right time and stay focused on the task."

— Alina Vasilyeva, Designer, Depot

Result

Depot uses neural networks not as a replacement for designers, but as a way to accelerate production based on a strong idea. Individual tasks are completed in a matter of hours; the team shares workflows and is increasingly less reliant on a single “neural network expert.” Where necessary, a balanced hybrid approach remains: AI combined with manual work.

1. The agency’s mascot was given a “second life.” The stickers were transformed into a 3D character and animated for banners and communications in about 4 hours of work on the iterations, plus a brief assembly in After Effects.
Depot - The Process of Creating a Mascot and the Result in Phygital+
2. Case studies and special projects are put together more quickly. The visual storylines for case studies, mockups of merchandise, and background animations are created using managed pipelines; the hero screen for the Person ranking project took about one day to put together.
Depot - Process and Visuals for the "Stars of Branding" Project
3. Internal communications have become a seasonal pattern. Modern Talking splash screens and seasonal “letters” are repackaged using master prompts: the summer package, based on the spring one, took half a day.
Depot - Examples of Seasonal Visuals
4. From one-off implementations to team-based practices. Once a week, the team reviews what worked and what didn’t; designers manage the core pipelines on their own. The agency openly informs clients about its use of AI.

Learn more in the presentation “ ” by a designer at Depot

Depot - Alina Vasilyeva's Presentation at AI Summer Conf 2026

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