All design tasks with the help of AI

How Yandex Ads' design department integrated AI and now saves ~90% of the budget on content creation

client

Yandex Ads

Industry

Advertisement

Team size

30+ employees

Example of use

Brand Identity
Video Production

Results

Time saving

7x

faster brand character creation

Budget savings

>90%

Budget savings when using AI in design processes

Company application

100%

design tasks are performed with the help of AI

Company application

20 673

design tasks closed in 6 months with Phygital+

Challenge

Yandex Ads is a system of international advertising products and solutions. The Communication Design department works in-house 360: SMM, events, CGI, branding, product, illustration, 3D, graphics, identics, design support, etc. The team started implementing AI at the beginning of 2025 with a NeuroHackathon inside the department using Phygital+. Within a year of active work, the company managed to overcome the initial factor of human resistance and implement a full-fledged AI-production cycle. Now 100% of design tasks are done with the help of AI. 

AI for the team is a new and complex challenge that they haven’t had time to dive into to accelerate the adoption of neural networks.

Visual AI tools are developing very fast and are on the market in large numbers. This led to team frustration and learning difficulties.

Scaling design and meeting quality criteria is always a huge challenge for big brands.

"Every task is done using AI tools. Now it's not a hype anymore, it's a necessity. Between March and October 2025, we closed 20,673 operational tasks using Phygital+"

– Alya Maximova, Art Director, Yandex Ads

Solution

One platform.
Endless Creative Directions.

The communication design department of Yandex Ads launched the NeuroHackathon, during which designers in a competitive mode together with a mentor tried to solve their tasks using Phygital+ and AI tools available on the platform.

Tasks included: creation of AI employee portraits and consistent graphics for lendings, generation of 3D key visuals in corporate style, data visualization, scaling of object libraries, SMM content.

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"There is some illusion that applying AI to design is simple: press one button and you're done. In fact, the generative production cycle duplicates the classic cycle. But the generative pipelines approach ended up saving us 90% of our budget and speeding up production by 4x"

– Alya Maximova, Art Director, Yandex Ads

Result

After implementing neural networks, the Yandex Ads’ communication design team was able to fully reorganize to apply AI to 100% of tasks on a daily basis, as well as implement a full AI production cycle and assemble identity and special projects built entirely on generative pipelines.

1. Generative Pipeline in Phygital+ helped to reduce the time to create 3D key visuals from 2 hours to 20 minutes, which significantly accelerated the work, preserving the brand's style and improving the quality of the result.
2. Creation of opening video for Yandex Ads Conference in Kazakhstan. 40+ hours of work, 3 trained LoRa, 50+ video generations.
3. Creating an AI avatar for a brand ambassador for Yandex Ads. Neural networks helped to save 98% of the budget and speed up the process by 7 times.
4. Creating a photo style in brand identity. Saving 90% of the budget and speeding up 4 times.

Learn more about the evolution of design with AI in Yandex Ads.

What has changed in Yandex Advertising in a year with neural networks? AI BUSINESS CONF - 2025
Neuro Autumn in Yandex Advertising. AI CONF - 2025

"With the advent of new technologies, the world is "slammed", there is a process of implosion, and this also applies to work specializations. Designers are becoming developers, products are becoming creative producers. As this process goes on and on, the role of the designer is to learn new skills and tools and apply the technology."

– Alya Maximova, Art Director, Yandex Ads

Phygital+ helps brands

create visuals faster, smarter and more emotionally – turning
lighting design into living stories.

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