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Promotion and Integration of AI Technologies in Public Administration


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Added by:   OECD analyst
Added on:   06 Oct 2026
Updated by:   OECD analyst
Updated on:   06 Oct 2026

The Ministry is implementing a cross-cutting initiative to integrate AI into public administration, focusing on human resource management and the simplification of administrative procedures. The initiative uses AI and data-driven tools to support workforce management, skills development and decision making, while redesigning and simplifying processes to reduce administrative burden. It aims to improve efficiency, transparency and the quality of services for citizens and businesses.

Name in original language

Προώθηση της ενσωμάτωσης τεχνολογιών Τεχνητής Νοημοσύνης στη Ελληνική Δημόσια Διοίκηση

Initiative overview

This initiative forms part of Greece’s broader effort to modernise public administration through the responsible use of artificial intelligence, combining reforms in human resource management with the systematic simplification of administrative procedures. It is anchored in the National Policy for Administrative Procedures, which provides the unified framework for continuous process improvement, reduction of bureaucracy and improved service delivery to citizens and businesses.

On the human resource management dimension, the initiative will support the use of AI-enabled tools across the HRM lifecycle, including workforce planning, recruitment, performance management and skills development. Data analytics and machine learning techniques will be used to support evidence-based decision making, skills forecasting and better alignment between organisational needs, roles and competencies.

The initiative aims to strengthen motivation, promote a culture of continuous learning and enhance the adaptability of public sector employees, while ensuring that all decisions remain under human oversight.

At the same time, the initiative will address the simplification of administrative procedures through data-driven analysis and AI-supported methods. Administrative procedures are systematically documented and maintained in the National Registry of Administrative Procedures (“Mitos”), creating a comprehensive and continuously updated baseline. AI techniques are applied to identify inefficiencies, repetitive steps and bottlenecks, supporting the redesign and simplification of procedures.

This contributes to reducing administrative burden, shortening processing times and improving the accessibility and usability of public services. AI technologies are positioned as enabling mechanisms for systemic administrative redesign rather than isolated automation tools.

The initiative is complemented by institutional mechanisms such as the National Programme for the Simplification of Procedures and the Observatory for Bureaucracy, which assesses the impact of simplification actions using common indicators.

In parallel, technical assistance under the TSI framework will support the development of AI governance models, methodologies and toolkits, ensuring alignment with national legislation, the forthcoming European AI Act and principles of ethical, transparent and accountable AI use.

Building on earlier reforms in performance management and HR digitalisation, the initiative is designed to scale across public administration. By combining AI-supported HRM with AI-enabled process simplification, it will contribute to a more efficient, transparent and user-oriented public sector and will lay the foundations for sustainable institutional change.

Other relevant details

Results, outcomes and impacts: The initiative has established a comprehensive baseline for administrative simplification and AI-enabled reform. More than 4,000 procedures recorded in the National Registry of Administrative Procedures will serve as the foundation for AI-supported analysis and redesign. Technical assistance under the TSI framework has delivered methodologies, governance tools and pilot use cases for AI in HRM, decision support and process optimisation across selected public bodies. Progress is monitored through registry coverage, implementation milestones, pilot results and indicators produced by the Observatory for Bureaucracy. Expected impacts include reduced administrative burden, faster service delivery, improved HR decision-making and increased trust in public services. Challenges and lessons learned: The initiative is expected to face challenges related to data quality, interoperability and standardisation across public bodies, as both AI-enabled HR management and process simplification depend on consistent and reliable data. Further challenges will include integrating AI-supported approaches into established practices, ensuring user acceptance, and meeting legal and ethical requirements. These issues will be addressed through governance arrangements, common data and process standards, and a human-centred approach in which AI is used strictly for decision support. Cross-government coordination and pilot applications will help identify practical issues early and refine methods before scaling. Early lessons point to the need for institutional ownership, clear communication on AI limits, user training, and continuous monitoring to ensure that AI supports effective HR management and meaningful simplification.

About the policy initiative


Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • AI use cases/projects in the public sector

Status:

  • Proposed or under development

Start Year:

  • 2025

Target Sectors:


OECD AI Principles:

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Other relevant urls:

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