Agentic AI for Public Administration
Using the potential of agentic AI responsibly
Understanding Agentic AI in Administration
Agentic AI, also known as Agentic AI, extends classic AI applications to digital employees who can not only answer questions, but also carry out tasks independently within defined guidelines. This creates a new lever for public administration to reduce the burden on specialist procedures, shorten processing times and increase service quality. At the same time, there are high requirements for data protection, traceability, role and authorization concepts as well as sovereign operation in a legally secure area.
Arvato Systems supports the public sector in responsibly introducing agentic AI - from the target image and governance to integration into existing systems and scalable operating models that ensure transparency and control.
Advantages of Agent-Based AI for Public Administration
Noticeable relief
AI agents take over recurring steps such as research, preliminary document checks, and standard communication. This frees up time for the specialist departments to deal with challenging cases.
Controlled and traceable
We anchor guard rails, roles and approvals. All actions of the AI agents are traceable and logged. Decisions remain with humans.
Sovereign operation
We enable deployment within a legally compliant operating framework, with data sovereignty, clear stakeholders, and suitable operating options - right up to the private cloud.
Frequently Asked Questions and Answers About Agentic AI in Administration
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What is Agentic AI?
Agentic AI refers to AI systems that not only provide information, but can also perform tasks independently within clear guidelines. In contrast to classic AI, this also makes operational action possible.
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What is the difference between agentic AI and generative AI?
Generative AI creates content or suggestions. Agentic AI can also initiate steps in processes, merge information and prepare or execute defined tasks in systems.
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Why is agent-based AI interesting for public administration?
It can reduce the workload of recurring processing activities, shorten processing times and improve service quality. At the same time, the decision-making authority remains with the employees.
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What requirements apply to the use of agent-based AI?
Data protection, role and authorization concepts, traceability, logging and a controlled operating framework are important. Without these guidelines, responsible use does not make sense.
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How does Arvato Systems support agentic AI?
Arvato Systems supports public administration from strategic classification, governance and integration through to sovereign operation. The goal is a controlled, traceable and scalable use of agent-based AI.