AI Policy Implementation & Partner Agency Advisory
Project Overview
AI policy and governance advisory delivered across ITP and its partner agencies -translating QGEA AI directions, the FAIRA framework, the Human Rights Act 2019, and Australian Privacy Principles obligations into practical controls for real AI initiatives, including a governed Databricks AI proof of concept with the Queensland Academy of Sport.
Project Impact
Partner agencies gained AI governance they could actually execute -trials ran with clear guardrails, spend risks were controlled before they materialised, and governance requirements arrived as delivery-ready backlogs rather than abstract policy.
Project Objectives
Translate legislation and policy into practical, project-level AI controls
Govern partner agency AI trials from framework to feedback
Advise on AI platform cost governance under consumption-based billing
Define governance delivery backlogs partner agencies can execute
Project Scope
The engagement combined hands-on trial governance with advisory across partner agencies, covering risk documentation, acceptable use, cost control recommendations, and governance backlog definition.
Key Areas
- QAS Databricks AI proof-of-concept governance framework
- FAIRA Lite documentation, Acceptable Use Acknowledgement, and Trial Feedback Workbook
- Microsoft Copilot Studio cost governance under Azure consumption-based billing
- Power BI governance epics and user stories defining the DLGWV delivery backlog
Key Achievements
Law & Policy Into Controls
Translated QGEA AI directions, the FAIRA framework, the Human Rights Act 2019, and Australian Privacy Principles obligations into practical controls for AI initiatives
Governed AI Trial
Implemented the QAS Databricks trial's governance framework -FAIRA Lite documentation, Acceptable Use Acknowledgement, and Trial Feedback Workbook -while managing senior stakeholder relationships
Cost Governance Advisory
Advised a partner agency on Microsoft Copilot Studio cost governance under Azure consumption-based billing, recommending controls over open-ended spend
Executable Governance Backlog
Produced Power BI governance epic and user story documentation for DLGWV, defining the governance backlog for delivery
Technologies Used
Key Deliverables
- •AI trial governance framework (FAIRA Lite, AUA, feedback workbook)
- •Cost governance recommendations for consumption-billed AI platforms
- •Power BI governance epics and user stories
- •Cross-agency AI policy advisory
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