Agentic AI for modernizing the government
The modernization of the government in times of digitalization requires new concepts for the improved use of technology. Agentic AI—multimodal, multi-model, and multi-agent-based AI systems linked to software and databases—offers the opportunity to make administrative processes more efficient, scalable, and citizen-friendly.
The aim of the project is to develop a framework for the use of Agentic AI as a platform. The starting point is an analysis of the current challenges: lack of interoperability, lack of standardization, and complex IT landscapes with regard to AI. A decision-making framework is to be created through structured problem decomposition, architecture design and evaluation, and practical testing based on an example.
The primary methods are expert interviews, use case analyses, and practical assessment of technological and organizational requirements. The result is a report containing the analysis framework, concrete recommendations for action, and a cost-benefit analysis. This will lay the foundation for the trustworthy, efficient, and sustainable use of Agentic AI in public administration.
The idea behind the study is to develop a structured analysis and design framework for agentic AI platforms in public administration that systematically integrates interoperability, standardization, and scalability. The core contribution is an improved understanding of how to reach from the stage of ongoing digitalization, to the stage of applying this digital data in complex use cases, and an exploration of the benefit of using "agents" for both stages. This creates an evidence-based foundation for anchoring agentic AI in complex administrative landscapes in a sustainable manner.
01.10.2025 – 01.06.2026
