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Description

As government agencies increasingly adopt and use artificial intelligence (AI) to enhance service delivery and operational efficiency, many encounter similar challenges when progressing small-scale experiments into sustainable, enterprise-ready solutions. 

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.

An AI PoC is a focused, small-scale experiment designed to demonstrate technical feasibility and potential business value of an AI use case. As a vital first step, PoCs help agencies test ideas early and build the confidence needed to determine whether an AI solution is suitable for enterprise-wide scaling, without committing significant time or resources.  

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.

Guiding principles 

  1. Strong foundations
  2. Enterprise-ready design and infrastructure
  3. Robust governance and trust frameworks
  4. Cross-functional collaboration and accountability
  5. Strategic alignment and measurable outcomes
  6. Culture of responsible innovation and business value
  7. AI literacy at all levels
  8. Right technology for the right problem.
Publication Details
License type:
CC BY
Access Rights Type:
open