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The New Automation Stack: Why AI Agents, Orchestration, and Generated Software Are Defining the New Standard

Artificial Intelligence

AI agents
Automation Stack
Process Automation

Jörg Rodehüser

December 17, 2025

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Automation is at a moment that feels similar to software development before cloud and APIs became mainstream. Many established concepts still work, but their limits are increasingly visible. At the same time, a new combination of technologies is emerging—one that doesn’t just solve isolated problems, but changes how organizations connect processes, systems, and decisions.

This new approach to automation can no longer be reduced to a single tool. It is a stack—made up of intelligent AI agents, a clear orchestration layer, and software that is no longer built purely through traditional development, but generated on demand.

Automation Shifts from Execution to Responsibility

Traditional automation has primarily focused on execution: triggering steps, moving data, and following predefined rules. With AI agents, that picture changes fundamentally. Agents can analyze situations, evaluate information, plan next steps, and carry out actions autonomously.

This shifts automation from simple task completion to real responsibility—within clearly defined boundaries. That makes automation far more powerful, but also more complex.

Orchestration Becomes the Stabilizing Layer

The more decision-making capability we hand over to AI systems, the more important control, transparency, and governance become. Orchestration platforms such as Camunda take on this role. They define process boundaries, integrate humans at the right points, and ensure traceability.

Without orchestration, AI agents remain isolated point solutions. With orchestration, they become part of a consistent, scalable end-to-end system.

Generated Software Changes the Logic of Digitalization

Large language models can now generate complete applications—tailored to specific requirements, integrated into existing architectures, and implemented in a technically sound way.

As a result, software is no longer best understood as a one-off project, but as a product that can be created flexibly when needed. Processes define the framework, agents make decisions, and generated software provides the right tools.

Conclusion

The new automation stack marks a fundamental shift: away from mechanical execution and toward intelligent, responsible process design. Organizations that establish this stack early build a future-proof foundation for digital innovation.

Your contact person

Jörg Rodehüser

Senior Expert AI Process Automation

valantic

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