More options, same deadline
Generated exploration means you see several real directions before committing, instead of one safe route defended after the fact.
Use generative design tools without misrepresenting the product.
We can use generative tools for storefront concept exploration and selected visual work. Product appearance, dimensions and claims remain tied to approved assets so the design does not show shoppers a different item than the one being sold.
A few clients we’ve worked with
What we do
AI design for ecommerce businesses: asset boundaries, concept exploration, review and handoff.
What AI design needs to account for.
Generated product imagery can change the item shoppers believe they are buying.
Campaign illustrations need a clear relationship to real product photography.
A visual concept still needs accurate variants and purchase states.
What AI actually changes in design work.
AI made producing design output cheap. It did not make deciding cheap. The value is in spending the saved time on exploration, not on skipping judgement.
The decisions stay human
What is generated, what is drawn and who signs off are agreed before work starts, so nothing average ships because it was fast.
You know what you are buying
The split between accelerated production and human direction is written down, which makes both the price and the risk legible.
AI design scope.
Plan asset boundaries, concept exploration and review and handoff as connected parts of the engagement.
Asset boundaries
Agree which product photos, brand files and references may be used. Record rights and exclude private customer material.
Concept exploration
Explore layouts or clearly illustrative campaign directions. Reject generated details that alter a product’s actual colour, shape or included accessories.
Review and handoff
Refine selected designs into editable files with responsive rules. Track asset origin and product-owner approval.
Selected website projects across our wider practice
All case studies
“What I appreciate most is that the team always communicates openly and stays honest throughout.”
“They delivered what they said they would, on time.”
“They met all our expectations by providing great strategies based on our needs.”
AI design deliverables.
The agreed AI design scope is documented in the following work products.
- 01
Tool-input and asset-use boundaries
- 02
Reviewed concept explorations
- 03
Selected Figma designs with source and approval notes
Our process
How we approach AI design.
Approve source assets
Select product photographs and brand files with clear rights and factual boundaries.
[ 01 ]
Explore accurate concepts
Use generative tools for bounded layouts or illustration directions without changing the represented product.
[ 02 ]
Refine for storefront use
Prepare editable responsive designs and obtain product-owner approval of selected assets.
[ 03 ]The people who do this work.
No account layer between you and them. These are the Norml specialists this work runs through.
Zhenia Mohyla
Co-founder · Design & Strategy
Ira Kandaurova
UI/UX Designer
Viktoria Volynets
Junior Designer
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
Get startedAI design for ecommerce businesses: questions.
Can AI generate photos of products we do not have?
It must not present an invented product as an actual item for sale. Product imagery needs accurate source material and owner review.
Can generative tools help with seasonal concepts?
Yes. We can explore directions while keeping actual product representation and factual claims under review.