Common scenarios – lessons from the challenges
The journey from AI experimentation to enterprise-scale adoption is rarely linear. Agencies across the public sector are navigating a range of challenges and opportunities as they explore the use of AI to improve services, decision-making, and operational efficiency. The following real-world scenarios illustrate both successes and setbacks – highlighting what works, what does not and why. These examples offer practical insights into the importance of co-design, clear expectations, stakeholder engagement and the integration of AI with broader organisational strategies and systems.
Share your story
Agencies across government are encountering similar opportunities, challenges and patterns as they explore how to responsibly embed AI into services and operations. Sharing lessons learned – successes and setbacks alike – strengthens the entire system and accelerates uplift across the APS.
If your agency has an experience, challenge or insight to contribute, we encourage you to share your story. Reflecting openly helps support better decision-making and enables agencies to navigate the complexity AI brings. To share your story, please contact ai@dta.gov.au.