Design, technology and complex sectors
Our way of seeing work. We publish what we think about the state of design in banking, about what it means to design with AI responsibly, about why design systems are a decision of government, not aesthetics. With the frequency that allows you to do it well.
AI First
85% of banking users in Europe reject AI executing financial actions autonomously. But 80% want active smart analytics. The design challenge in banking is not how much AI — but where and how.
Design systems in large organizations: when coherence is a decision of governance, not aesthetics
A well-built design system is not a collection of buttons and fonts. It is the decision of how an organization ensures consistency when hundreds of people build the same product. And that decision is one of direction, not design.
Why the European AI Regulation is the best argument for design in banking
The European AI Act requires that AI systems be transparent, explainable and controllable by the user. For the design, that's not a restriction — it's the best argument it's had in years. Organizations that design with that criterion now have an advantage over those that wait for the regulator.
AI and Retail
A potential market of 310,000 million euros in Europe. And yet, 94% of consumers want to approve before the agent takes action. Data from 8,400 European consumers reveals what users are willing to delegate — and where they don't cross the line.
Regulated sectors
Designing a music app and designing an insurer's claims process are not the same problem. When the error has real consequences for the user, the design works with other rules. This is what we have learned in more than a decade in banking, energy and insurance.
Designing only for the user is no longer enough.
A good digital product solves the user's problem. A great product also makes sense for the business, is sustainable over time and points to the future. Why design has to expand its radius — and how to incorporate that vision from day one of the project.
EGGS Intelligence Report
The organizations that have invested the most in digital transformation are often the ones that have the most difficulty integrating AI. It is not a paradox, it has a structural cause. And it has a solution, if it is approached from design and not only from technology.
