How we work in an AI-Accelerated world
A clear perspective on how we use AI.
Our perspective
We’re at a turning point.
Everything seems possible, but at the same time, everything is starting to look too similar.
We are at a turning point, one of those that appear every now and then, where everything seems possible and, at the same time, everything starts to look too similar.
Everyone’s talking about AI, everyone’s selling AI, everyone’s incorporating it into their products, their decks, their speeches, and yet, when you step back and look more closely, you discover that very few of those things are actually solving fundamental problems.
The promise is enormous, no doubt, but the risk is too, because when the tool becomes more important than the idea, what you get isn’t innovation, it’s noise, and quite expensive noise at that.
At Revolt, we’re not interested in the noise, we’re interested in understanding which problems are worth solving, and only then seeing if AI has anything to contribute. Because AI doesn’t fix poorly designed products, weak strategies, or wrong decisions; it certainly accelerates progress, and that, depending on your starting point, can be a huge advantage or an even bigger problem. If you have clarity, it’s powerful. If you don’t, it amplifies the problem in the wrong direction. That’s why the order matters more than ever: first, understand the problem. Then, define the value you want to generate, and only then consider whether AI has a role to play.
"Order matters more than ever: first understand the problem, then define what value you want to generate, and only then think about whether AI has a role to play."
What do we do with AI?
We use AI judiciously and intentionally. At the end of the day, what defines the outcome is how, why, and when you decide to use it.
What we’ve done
The Lab:
AI experiments
Internally validated prototypes and workflows to push the boundaries of what is possible to build today.
AI-assisted Content Operations
Goal
Reduce the operational workload of marketing teams and ensure consistency across multichannel content creation and publishing.
Result
We built an internal agent that automates research, trend mapping, content generation for blogs and social media, and assisted publishing. The system interprets brand guidelines, adapts formats to each channel, and accelerates production without compromising editorial control.
AI-assisted Design System Operations
Goal
Prevent inconsistencies between design and development in complex digital products, especially in AI-assisted experiences.
Result
We developed an AI-assisted operating system for Design Systems that automatically generates, validates, documents, and maintains components. The system detects deviations, accelerates product evolution, and reduces manual dependencies between design and development teams.
AI-assisted Image Production
Goal
Accelerate visual production for design and marketing teams by reducing creation time and creative exploration cycles.
Result
We automated image generation workflows using generative models and AI-assisted pipelines. The system enables rapid creation of visual variations, adaptation of assets for different formats, and fast generation of visual proposals for campaigns, products, and digital content.
AI-assisted Product Discovery
Goal
Reduce time and friction during the early stages of discovery and definition for digital products.
Result
We created an internal AI-assisted framework to synthesize interviews, detect patterns, structure opportunities, and generate product hypotheses. The system accelerates workshops, prioritization, and roadmap definition by transforming scattered inputs into actionable insights for business and product teams.
What can't we do
with AI?
AI is seductive because it makes you feel productive quickly. And therein lies the problem: you can build a lot, very quickly, of something that should never have been built in the first place.
We don’t use AI because it’s trendy, we don’t use it to make a product seem more modern, and we don’t sell features that don’t generate real value. If it doesn’t improve something concrete, if it doesn’t reduce friction, if it doesn’t save time or bring clarity, then it probably has no place in that product. And that’s okay.
AI is going to change many things (that’s already happening) but it doesn’t change something far more inconvenient: good products still come from good ideas. And good ideas still come from people who understand problems, who aren’t satisfied with the first thing that comes along, and who, when necessary, decide to do things differently.
"Good products still come from good ideas."
Frequently asked questions
Ready to bring AI to your business?
Let’s talk about your project and find out if the right technology can accelerate your vision.