New Orange as an AI-native digital agency

At New Orange, AI is not a separate experiment or a tool we occasionally add to the mix. It is woven into our culture, our processes, and the solutions we build. AI does not change what we make, because we still build high-quality digital platforms, but it does fundamentally change how those platforms are created today.

In many cases, coding websites and platforms is now up to three times faster. That acceleration does not happen on its own. It requires a clear shift in the process: the center of gravity in a project moves away from execution and more toward the front end of the project.

Where an experienced developer could once smooth out a half-finished user story during development, a machine will not. Ambiguity at the start leads directly to noise in the output.

That is why we invest more time upfront in clearly defining the scope, architecture, integrations, and security requirements. That stronger foundation allows the implementation phase to move faster and with more control. The better the starting points are defined, the more speed and quality you see later in development.

On the one hand, AI makes software development easier. On the other, it requires more craftsmanship to build and secure software on top of a well-considered architecture. Because production moves faster, the expertise of the people defining the framework matters more than ever.

That is why we work with developers who look beyond working code alone. People with proven experience in architecture and security. Professionals who can judge whether a solution is not only built quickly, but is also sustainable, secure, and scalable. AI does not make people less relevant. It makes their expertise more valuable.

For clients, this development also changes the way we work together. Together, we define more clearly what will be built, where the scope starts and ends, which decisions are fixed, and which requirements apply. That calls for more attention and more substantive alignment in the early phase of a project. Once that foundation is in place, implementation moves faster.

Where digital projects were often previously billed based on actual hours worked, this way of working is more often suited to a fixed price for a clearly defined project. That includes both the time of experienced professionals and the costs of using AI, such as tokens and tooling.