Individuals recognise the potential of AI through personal interest

AI-related skills through training, education, and small-scale testing

Mentoring programmes to develop individual AI competencies to foster skills development

General innovation labs where individuals can experiment with AI technologies

Active and encouraging communication about pilots

Sector-specific collaborative platforms for sharing good practices

Knowledge dissemination through workshops and external consultants

Encouraging proactive identification of AI opportunities

Strategic partnership consultancy model for sensing activities

Peer support among public actors

Free access to easy-to-use and continuously improving general AI tools

Example set by leaders

Management support

Continuous market and supplier scanning to find relevant AI solutions and practices

Organisational small-scale proofs of concept

Integrating AI awareness into strategic vision

The combination of digitalisation and project management provides a solid basis for AI adoption

Clear and AI-positive organisational policies on data protection and AI security

Positive societal pressure

Reform of the Administrative Act to use automation in the public sector

Encouraging individuals to brainstorm AI opportunities together

Empowering individuals to experiment with AI solutions and take calculated risks

Development-oriented personnel

Integration of individual contributions into strategic planning

Creating cross-functional teams to integrate individual insights into evaluating AI initiatives

Facilitating small-scale AI pilot projects to test feasibility and gather data for larger implementation

Organisational platform for horizontal knowledge sharing and collaboration

Large-language-model (LLM)-centric partnership model relying on a single language model

Open and modular multi-vendor partnership model

Organisationally tailored and secure do-it-yourself AI model based on open or closed language models

Strategy

Management support

Experimentation culture

Implementation and prioritisation principles of AI initiatives and resource allocation

Accessibility of data and continuous improvement of data quality

Leadership action plan focusing on organisational AI adoption

Wide exploitation of general language models and tools at the individual level

Encouraging a mindset of continuous learning and flexibility among employees

Fostering a culture that values creativity and innovative thinking

Adoption of new AI-driven practices with general AI tools

Adoption of individual sector-specific AI solutions for targeted needs

Successful tendering of AI solutions/partnerships to enable further implementation

Successful implementation of AI projects and/or AI updates to existing solutions

Implementation of change management practices

Implementing a mechanism to regularly collect feedback and ROI in AI projects

Management support

Dynamic organisational culture

Modifying organisational structures and processes to better integrate AI capabilities

Dynamic resource reallocation to AI initiatives

Commitment to AI by embedding it into organisational culture and practices

Regular feedback systems to align individual AI capabilities with organisational goals

Establishing processes to scale successful AI pilots across the organisation

Organisation’s procurement maturity