AI generates content, plans work steps, integrates systems, and supports workflows. This creates new opportunities for digital processes. The ISO-Gruppe helps companies safely evaluate, effectively use, and smoothly integrate agent-based AI solutions into existing applications.
Many digital processes consist of several steps. This includes verifying information, making decisions, initiating systems, and documenting results. Agentic AI can help with all of these steps. It connects AI functions with defined tasks, existing applications, and clear process logic.
The ISO-Gruppe does not view agentic AI as uncontrolled automation, but rather as targeted support for complex workflows. From the very beginning, it is crucial to take into account roles, responsibilities, interfaces, and security requirements.
This leads to solutions that coordinate work steps, process information, and streamline processes while maintaining control, traceability, and data sovereignty.
Agentic AI is particularly valuable in situations where tasks require coordination, initiation, or monitoring across multiple steps.
The appropriate use case depends on the specific process, the systems involved, and the security, traceability, and control requirements. That is why the ISO-Gruppe always considers agentic AI within its overall functional and technical context.
In order for agentic AI to reliably support businesses, it must have clear objectives, a defined scope of action, secure system integrations, and transparent control mechanisms.
Agentic AI can coordinate individual tasks and support workflows when goals, rules, and responsibilities are clearly defined. This helps streamline processes while maintaining professional oversight.
The benefits of agentic AI are most apparent when existing applications, data sources, and interfaces are effectively integrated. The ISO-Gruppe helps ensure that technical framework conditions and integration requirements are considered from the beginning.
In software development, agentic AI can assist with analysis, specification, documentation, quality assurance, and recurring development tasks. The extent to which AI is used depends on the customer's environment, security needs, maintainability requirements, and traceability goals.
Agentic AI requires clear guidelines. These include defined roles, permitted tasks, appropriate models, approval processes, and security requirements. These guidelines establish which tasks can be automated and which require human review.
Traceability and control are paramount, particularly in multi-step processes. Agentic AI should document results, explain decisions, and clarify action steps to maintain quality, accountability, and data sovereignty.
We help you securely use agentic AI in a way that fits your processes while ensuring data sovereignty.