Advancing AI and Process Automation for the 
Public Sector

The Research Goals

The AIDED project pursues three primary objectives.
  • Automate repetitive administrative tasks to alleviate staffing shortages and enhance efficiency.


  • Enable high transferability of solutions across diverse customers, municipalities, and sectors, adapting flexibly to individual requirements.

  • Increase scalability of AI solutions through vendor-agnostic, sovereign cloud deployments that maintain full compliance with European data protection laws.


The digitalization of the public sector is essential for modern governance. However, achieving this transformation faces major challenges: a shortage of digitally skilled staff — currently estimated at 330,000 across the public sector — and the need for trustworthy, GDPR-compliant digital infrastructure.
The AIDED project – Artificial Intelligence in a Secure, Distributed Cloud for the Public Sector – addresses these issues by automating repetitive administrative tasks using AI, and by building a highly secure, decentralized multi-provider edge-cloud continuum. This infrastructure ensures high availability, strict compliance with European data protection standards, and enhanced resilience for public administrations.
To achieve these goals, AIDED leverages cutting-edge technologies including:
  • Knowledge Graphs: Structure and connect complex administrative data to enable smart automation.


  • Artificial Intelligence: Analyze, process, and automate decision-making in administrative workflows.


  • Cloud Services: Deliver scalable, secure, and GDPR-compliant infrastructures for public sector solutions.

Motivations

Several critical factors drive the AIDED project:
  • Digitalization Deficit in the Public Sector: Public administrations must offer modern, digital services to automate traditional processes and respond rapidly to political needs.


  • Rising Skilled Labor Shortage: Demographic change and digital transformation have created an urgent need to automate tasks, as recruitment alone cannot close the gap of 330,000 missing employees.


  • Necessity of Cloud Infrastructure: Delivering scalable, AI-based public sector solutions requires cloud-based deployments. However, sovereignty and data security must be preserved — avoiding reliance on foreign hyperscalers and ensuring compliance with GDPR.


These challenges motivated elevait’s participation in the IPCEI-CIS project, aiming to demonstrate real-world feasibility through lighthouse implementations.

Solution - AIDED delivers practical solutions to these challenges by:

(Partially) automating repetitive administrative tasks across both traditional paper-based and digital procedures, enabling faster, knowledge-driven processing while improving consistency, and freeing up labor force for high-value activities.

Ensuring high transferability and adaptability of AI-automated processes between different customers, municipalities, and sectors — even across varied regional or state-specific frameworks.


Utilizing sovereign, GDPR-compliant cloud infrastructures being developed across Europe, ensuring that AI-driven public sector solutions are scalable, secure, and aligned with European data protection principles.

About 8ra & IPCEI-CIS

The AIDED project is embedded in a broader European collaboration under the umbrella of 8ra – a strategic initiative to establish a resilient, open, and future-ready digital infrastructure for Europe. At the heart of this initiative lies the Important Project of Common European Interest on Next Generation Cloud Infrastructure and Services (IPCEI-CIS), approved by the European Commission in December 2023. Bringing together 12 EU Member States and around 120 industrial and research partners, IPCEI-CIS aims to strengthen Europe's digital and technological sovereignty by advancing innovation in cloud infrastructure, artificial intelligence, and secure data ecosystems. As part of this framework, AIDED contributes concrete, real-world applications that help translate the collective vision of a sovereign digital Europe into practice.

Danke! Deine Nachricht ist bei uns angekommen! 

Mohammad Sajjadi

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This research project is funded by the Federal Ministry for Economic Affairs and Climate Protection on the basis of a resolution of the German Bundestag. Funded by the European Union. Funding reference: 13IPC027