Digital strategy in the age of AI Agents

Developing software is no longer the problem. AI is very good at programming. I read many articles about the future of the traditional development field, and it seems that a consensus is slowly emerging about a new way of working. Compared to manually writing code, more value can be created in a shorter time by smartly managing AI agents. Creating the right context so that an AI can execute the work more effectively. In this article, I delve deeper into the shift from execution to strategy and why digital strategy is more important than ever.

When AI writes the code

AI tools like Claude Code, Codex, and Antigravity allow you to develop impressive applications in a short time. A costly sprint of a development team is thus reduced to a fraction of the original lead time and effort. And, with every release of a new AI model, the results are better again. It is clear: software is becoming more and more a commodity.

But no matter how impressive your application is, eventually you hit a wall. Not because the AI falls short, but because the strategy is missing: a clear picture of the problem you are trying to solve. With every functionality you add, the legacy becomes larger and larger because they turn out not to be the right solutions. You will have to zoom out to make the right choices.

The fusion of strategy and execution

Because complex functionalities can be realized in a fraction of the time, the focus inevitably shifts from execution to strategy. The core of the work is no longer in the building itself, but in continuously determining the right next step towards your goals. The strategic cycle accelerates as a result. It is no longer a fixed annual plan, but a continuous, adaptive process that runs parallel to the speed of the changing digital world. Agile-on-steroids, as it were. A process that you must be continuously engaged with to keep up with innovating competitors and in which you use short feedback loops to always make the right choices.

The key here is the fusion of your strategy and execution. You can achieve this, for example, by:

1. Investing in talent with broad digital expertise.
   Professionals who can not only determine the strategy but also technically manage, assess, and adjust AI agents.
2. Forming small, agile teams (or even one-man teams) that work AI-first.
   With small, effectively collaborating teams, you shorten the lead time and deliver concrete results faster.
3. Setting up short, measurable feedback loops.
   Remain in continuous conversation with end-users and internal stakeholders. Use AI to develop functional prototypes. This makes new solution directions quickly visible and allows you to validate them early with these groups.
4. Translating your digital strategy into clear context for AI agents.
   Structure information from your strategy (such as goals, architecture, priorities, and constraints) into context files. This ensures that AI not only works more effectively but also understands the solution direction better – reducing the need for constant course corrections (more information Context Engineering).

I no longer believe in complex plans that take a long time to draft, but in working with shorter cycles in which you increase impact. I jumped into this gap by going freelance: I help organizations convert new opportunities into accelerated growth.

Do you find it interesting to talk about this further? Let's meet and discover how we can accelerate your growth.