Overview
The purpose of this guidance is to enable Australian Government agencies to move beyond isolated artificial intelligence (AI) experiments and achieve meaningful business AI adoption, ensuring that AI delivers value and is embedded responsibly within government operations and services. It provides practical advice for successfully scaling AI proof of concepts (PoCs) into production solutions or business operations, bridging the gap between experimentation and enterprise-scale deployment.
By outlining key challenges, success factors and best practices, the guidance supports agencies in maturing their AI practices, aligning AI projects with strategic goals and integrating them into existing operational frameworks to realise lasting public outcomes.
This guidance is designed to complement existing Australian Government frameworks and standards, offering a flexible approach that agencies can adapt to their operational contexts for effective integration across diverse environments. It is designed to help agencies progress the roadmap they have set for AI adoption, applying the right level of component consideration and an appropriate balance of project discipline and governance. The pathway to scale – from idea to an operational AI system – typically follows three stages: proof of concept, pilot then deployment into production.
Each of these stages involves systematic evaluation to ensure readiness for business integration.
This guidance covers:
- context – defines what it means to scale AI and what constitutes a successful AI PoC that scales up to enterprise deployment
- principles – for sustainable and responsible AI scale-up and adoption
- key considerations across the stages and dimensions of AI transition
- common challenges, mitigation options and project owners – advice to address challenges across business alignment, solution design, data management, technology, people, governance and operations
- common scenarios – illustrating both successes and failures in scaling up AI, offering actionable lessons learned
- tools and resources:
- an AI readiness checklist
- guidance for AI evaluation
- guidance for informing procurement decisions
- alignment to the Technical Standard for Government’s use of artificial intelligence.