Category
AI-Powered Creative
How enterprise teams operationalize creative operations with Superside
Building creative operations in-house works. Many enterprise teams scale their creative output successfully with the right frameworks, tools and phased approach. But it means hiring the ops team, buying and configuring platforms, building brand intelligence infrastructure and spending multiple quarters reaching operational maturity.
How to brief AI creative tools, a framework for marketing teams
Imagine telling a designer, "create a great ad" without any context. No notes on the target audience, product or brand standards. If the result misses the mark, you wouldn't blame the designer, would you? You'd blame the brief. Yet that's exactly how many enterprise marketing teams use AI. Someone opens a tool, types "create an ad for our new product," and gets a disappointing result. They tweak the prompt, try again and get more of the same. The verdict: AI is overhyped.
10 steps to build a creative review workflow for AI creative
It's true that AI can speed up creative execution in ways we could only have imagined before. But there's one thing AI hasn't quite nailed: the process of reviewing, correcting and approving the work marketing and creative teams produce. This process was built for a world where every asset was made by hand, and production volume was limited by human speed. Remove that limit without changing the review process, and one of two things happens. Manual review becomes the bottleneck that erases AI's speed gains, or work slips through unchecked under tight deadlines.
Why most AI-generated creative still feels off-brand in 2026
A designer on your team spends a Friday afternoon generating images. The prompt engineering is solid, the references are dialed in, and the AI cheerfully churns out options. Maybe five are usable, yet even those need several tweaks before they look like they belong to your brand. What was supposed to save the week turns into another round of edits, and a wait for assets that finally feel on-brand. Time isn't the only cost of AI-generated creative that's off-brand. Your brand's impact and credibility are on the line, too. Using off-the-shelf AI to create branded content risks diluting what makes your brand stand out. Even worse, it can trigger a negative response from an increasingly AI-sensitive audience.
Creative operations 201: How to build a creative ops function from scratch
If your creative team is producing more work than ever but missing more deadlines than ever, the issue isn't talent; it's infrastructure. You're running a growing creative operation on ad hoc processes, scattered briefs and tribal knowledge. At some point, that breaks.
5 insights from Shift: The Creative AI Summit
AI is moving fast. New tools are launching every week, workflows are changing overnight and creating content has never been easier. But if there was one thing creative leaders agreed on at Shift: The Creative AI Summit, it's that the conversation has moved beyond the tools themselves.
9 AI brand design examples that prove what's possible
Everyone has seen the bad version of AI design. The slightly off visuals that look like they're from a 1990s stock library, and the "technically fine, totally forgettable" ad creative that's about as memorable as your privacy policy. It's no wonder many marketing and creative leaders are skeptical that AI can produce standout, on-brand creative at the speed it promises.