Collaboration was a key theme in the ANZSOG National Regulators Community of Practice (NRCoP) Queensland Chapter’s AI workshop, ‘Implementing AI into Regulatory Operations’.
The event responded to strong sector demand and brought together regulatory leaders, operational practitioners and data specialists from across government to explore how artificial intelligence is reshaping regulatory practice.
Led and hosted by Skye Bowie, Chief Building Regulator at the QBCC, the workshop focused on the foundations of successful AI adoption within regulatory agencies.
Having worked closely with the QBCC’s Data and Analytics team over the past two years, Ms Bowie guided participants through practical techniques and AI prompts for developing strong, evidence-based problem statements, recognised as essential in ensuring AI initiatives deliver measurable public value.
“Partnership models between domain experts and technical teams have accelerated innovation at the QBCC,” Ms Bowie said.
“This has enabled the creation of robust proofs of concept and reduced common adoption barriers by strengthening governance and building confidence.”
The workshop featured contributions from leading experts across government including the Director of Data and Analytics Bilal Yousuf and Manager Zohaib Jan.
Key lessons for responsible AI adoption
Across the day, several principles emerged as critical for agencies seeking to implement AI safely and effectively:
- Strong problem framing is essential to ensure initiatives are evidence-based, measurable and value-driven.
- Governance and ethics frameworks must be embedded early to maintain trust and transparency.
- Business leader education is vital to counter unrealistic expectations and build organisational readiness.
- Scalability and sustainability should be planned from the outset, not just pilot success.
- Cross-disciplinary collaboration between regulatory, data and IT teams strengthens outcomes.
- Capability building and organisational learning are as important as technical project delivery.
