According to documentation from Storyteq and Pixelixe, AI works best where one approved creative needs to be quickly transformed into many variants: with different text, format, language, background or CTA. Storyteq describes this process as *creative automation*, the transformation of one approved asset into hundreds of brand-compliant variants without manually rebuilding each version.
This stage is the most automated: generating proposals, mass varianting and channel adaptation. According to Typeface, Bulk Create enables preparing market, audience and message variants based on previously approved materials, and Pixelixe emphasizes that such a pipeline functions only after separating *image creation* from *creative automation*.
The boundary lies where quality assessment, brand compliance and legal usage checks are required. Pixelixe notes that before scaling you must first choose the source image and then verify rights of use, correctness, visual quality and suitability for the campaign.
This means AI can produce many variants, but does not close the process on its own. According to Storyteq the system needs four inputs: brand guidelines, approved templates, campaign content and audience or channel parameters. Without these data, automation produces only technically correct but commercially weak creatives.
The most useful workflow described by Pixelixe is: first image generation, then selection, next file processing and only later embedding it in brand templates and connecting it with campaign, product, market and audience data. In practice this yields three layers:
According to Typeface and Storyteq this approach allows scaling ads without redesigning each graphic from scratch. Pixelixe adds that once the creative direction is approved, one can return to the generator only for controlled source variants, for example a different scene, season or audience context.
In this model humans do not disappear from the process but move to the decision stage. Decisions include choosing the creative direction, controlling consistency with visual identity, verifying rights to materials and assessing whether variants are truly fit for campaign testing. That is where automation ends and editorial and marketing responsibility begins.
Lub System helps B2B companies implement AI, automation and IT solutions end-to-end - from strategy to deployment. See our services or get in touch to discuss your case.
Source: https://storyteq.com/blog/how-do-you-use-ai-to-create-campaign-ready-marketing-assets/