New School of AI

Whether GenAI becomes a competitive advantage or a stumbling block is being decided now – in your IT department. Those who set the right course today will lay the foundation for faster processes, robust architectures and economically successful software solutions tomorrow.

GenAI automates what was previously considered unthinkable: creativity, analysis and design. The technology can unleash its full potential wherever digital artefacts are present. Software processes are a prime example of this.

The scope of this transformation is enormous. GenAI is not limited to individual functions or aspects of IT, but is changing the entire blueprint of software. The list of examples is long: software is becoming more autonomous. The ability to develop applications is no longer limited to traditional developer roles. Architectures are becoming more dynamic, while the timing and pace of development are changing.

This simultaneity presents challenges for those responsible. While the technology opens up new scope and business opportunities in IT, it also requires a new understanding of tasks, responsibilities and processes.

This is precisely where the idea of the New School of AI comes in. It analyses developments and organises dynamics. It gives those responsible the guidance they need to make informed decisions.

Three lines of development are shaping this change – and show what matters now.

Whether for coding, testing, debugging or documenting, estimating effort or creating specifications, GenAI is now ready for production. The applications accelerate processes, improve quality and make collaboration more efficient. However, it is not the technology alone that is decisive, but its precise integration into the project. Those who distribute the roles of humans and AI wisely increase speed, precision and project success.

However, as performance capabilities grow, so do the demands on governance and process architecture. Companies must therefore now define where GenAI can operate autonomously, which interfaces exist and how quality, security and accountability can be guaranteed. Only with this foundation can economies of scale be reliably exploited.

GenAI is changing architectural principles: probabilities supplement rules, agents take over tasks. Instead of classic process chains, networked action units are emerging.

Today, future-proof system design means thinking ‘agent-ready’ and making existing systems fit for an ‘agent update.’ And using new architectural approaches such as Model-Context-Protocol (MCP). Only then can LLMs, data sources and action logic be cleanly integrated.

However, agents do not unfold their full potential alone, but rather in interaction with each other – via agent-to-agent communication (A2A). Companies that strategically shape this new dynamic create robust architectures and remain compatible in the long term.

It often takes just a few minutes to go from idea to prototype: Vibe Coding is revolutionising the way we approach new solutions. But speed alone is not enough. Governance, documentation and testing must also be considered, otherwise today's solution will become tomorrow's legacy.

IT organisations must actively shape this change – with clear standards, appropriate interfaces and viable operating models.

The New School of AI is not a blueprint – it is a compass. It helps IT organisations make informed decisions. Whether in architecture, processes or roles: those who ask the right questions now will shape the IT of tomorrow.