AI image production at scale for brands in Dubai

Why do brands in the UAE need so many image variants?

One campaign idea rarely stays one image. A retail brand launching a Ramadan offer needs it in Arabic and English, square and portrait for Instagram and Facebook, vertical for Stories, TikTok and Reels, wide for YouTube and the website banner, and clean product shots on a white background for marketplaces. Multiply that by ten products and three offers, and a small team spends its week resizing.

The creative idea is rarely the bottleneck. Production is, and production is the part AI takes over. A designer who spends Tuesday cropping banners is not designing the next campaign.

What does an AI image pipeline do, step by step?

Every step is logged, so any published file can be traced back to its brief, its master and its approval:

• Generate - from a brief, product photos and your brand rules, the AI creates scenes, backgrounds and product visuals. Your real product photo stays the reference, so the product itself is not reinvented.
• Scale - each approved master is reframed into every format, with the product kept in the safe area and nothing important cropped.
• Text - headlines and prices are set as a separate layer from your approved copy, in Arabic and English, with right-to-left layout. Image models still misspell Arabic lettering, so the pipeline never lets them write it.
• Check - automatic checks for logo placement, colours, legibility and forbidden content, then a person approves in a review queue.
• Publish - approved files go to the social media planner, the online shop or the asset library, named and sorted by campaign.

How do we run image production in our own product?

Brandlix (brandlix.io), our AI social media system, generates images and short videos of up to 30 seconds and publishes to 10 platforms. As of September 2026 it imports products from a shop URL, writes content natively in 25 languages and offers an optional approval mode in which a person confirms before anything goes live.

Labelling is automatic in Brandlix: AI labels for TikTok and YouTube, IPTC origin data in the file, signed C2PA content credentials and alt texts for accessibility. We build the same labelling into client pipelines, because TikTok and YouTube ask for realistic AI content to be disclosed, and a brand should be able to show where an image came from with the file itself.

What stays with your creative team?

The idea, the art direction and the final yes. Designers define the look, choose between variants and reject anything that feels off. Claims on the image, such as prices, discounts or product benefits, are checked by a person against the actual offer. Nothing is published without passing the review queue unless you decide so for a specific format.

Example calculation: assume a brand produces 40 master visuals a month and needs 8 formats in 2 languages for each. That is 640 files. At 6 minutes per manual resize and text change, that is 3,840 minutes, or 64 hours. If a person spends 1 minute approving each generated file, approval takes about 11 hours. These are assumptions, not client results.

Keeping the look consistent from campaign to campaign is the job of a custom brand AI model. More use cases by department: what AI can automate in a business.