ImageKit launches creative automation with AI assist to generate on-brand visuals at scale

ImageKit launched Creative Automation, letting teams build hundreds of campaign visuals from governed templates. The update adds AI Assist for text translation and A/B testing.

Categorized in: AI News Creatives
Published on: Jul 01, 2026
ImageKit launches creative automation with AI assist to generate on-brand visuals at scale

ImageKit has launched Creative Automation, a new capability inside its AI-powered digital asset management platform that lets marketing, ecommerce, and creative operations teams produce hundreds of campaign-ready visuals by reusing governed templates. The release directly targets a familiar bottleneck-repetitive manual design work that drags down campaign speed-and gives creatives a way to generate localized, on-brand asset variations without piling on design or engineering tasks.

"Marketing teams are under constant pressure to launch more campaigns, test more ideas, and localize more content, but creative production often becomes the bottleneck," said Rahul, CEO at ImageKit. "With Creative Automation, teams can create an on-brand template once and easily generate different variants of it. This helps marketers move faster without adding repetitive design or engineering work." The tool is already in demand from e-commerce, retail, and consumer brands that need to produce large volumes of campaign creatives.

Template-driven production and governed customization

Creative Automation is built around reusable, layer-based templates that standardize layouts, typography, colors, and spacing in line with approved brand guidelines. Brand and design teams define which elements downstream users can edit-such as product images, headlines, localized copy, or calls to action-while locking attributes like visual hierarchy and spacing. Business and marketing teams then self-serve new campaign variants by changing only the exposed variables, so brand consistency stays centrally controlled without constant design intervention.

For designers and creative operations professionals, this kind of governed automation falls squarely into the domain of AI for Creatives, as it removes the low-value production grind while keeping brand standards intact. Teams can generate variations through ImageKit's browser interface or use CSV-based workflows for high-volume production, mapping each row to a unique output asset.

AI Assist speeds up localization and A/B testing

An AI Assist capability lets teams use natural-language prompts to identify relevant input assets, generate copy variations, translate campaign text, and produce A/B testing inputs from existing template data. For example, a marketer can ask ImageKit to "create the same banners but translate the CTAs from English to Spanish," and AI Assist surfaces corresponding localized inputs for review. All suggestions remain fully editable before export, so the team keeps full creative oversight.

This prompt-based workflow mirrors the broader adoption of AI for Marketing, where teams use plain-language instructions to accelerate experimentation without handing over final approval. The ability to generate alternate copies and translated text from a single prompt cuts the back-and-forth that typically slows down multi-market campaign rollouts.

Native DAM integration and media delivery

Creative Automation runs natively inside ImageKit's DAM, so teams build templates using approved images, logos, and brand assets already stored there. Generated banners export directly into the DAM as standard assets, immediately available for tagging, search, sharing, and collaboration. Every exported creative gets a ready-to-use delivery URL, backed by ImageKit's CDN, automatic optimization, real-time transformations, and responsive delivery-ready to publish across websites, apps, email campaigns, marketplaces, and ad platforms.

Why this matters for creatives

High-volume campaign production often forces creative teams to spend hours resizing banners, swapping text, or localizing copy in tools that were never built for scale. Creative Automation shifts that workload to governed templates and AI-assisted prompts, letting creatives set the rules once and then hand over variant generation without risking brand drift. As Rahul put it, "The goal is to remove repetitive production work so teams can focus on campaign strategy, creative ideas, and experimentation." For creatives juggling dozens of requests per week, that means more time on the actual creative work and less time as a manual production line.


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