Federal Policy Milestones
The Policy for the responsible use of AI in government establishes implementation milestones for June and December 2026, including requirements for AI strategy, oversight, preparedness, operations, and impact assessments.
Applications Open: Q4 2026
Prepare your organisation for Australia's late-2026 AI governance shift.
A four-week executive sprint for leaders who need practical governance artefacts, clear accountability, and defensible oversight before December 2026 and beyond.
Designed around Australian policy, accountability, assurance, and transparency expectations. Limited to 25 participants. Applications assessed on a rolling basis until places are filled.
Apply to Participate25 places | Rolling admissions
Aligned with Australian Regulatory Frameworks
The Sprint programme aligns with national mandates and state-specific requirements across all Australian jurisdictions, ensuring compliance with AI governance standards.
National Mandates
Aligned with the National Framework for the Assurance of AI in Government and the Policy for the responsible use of AI in government, ensuring core governance requirements across all Australian agencies.
All Jurisdictions Covered
Comprehensive support for compliance across Federal, State, and Territory requirements, from NSW and Queensland to WA, Victoria, and all other jurisdictions.
Why Now?
The cost of non-compliance is existential.
Privacy Transparency Obligations
Privacy Act automated decision transparency obligations commence 10 December 2026 for APP entities using qualifying automated decision-making systems.
Procurement Gates
NSW and WA both publish $5 million thresholds linked to additional oversight, with jurisdiction-specific review pathways.
Data Sovereignty
Offshore data processing does not exempt companies from compliance with Australian Privacy Principles. The Office of the Australian Information Commissioner (OAIC) enforces this principle across all organisations.
Responsible AI Governance Sprint
Intensive four-week programme equipping executive leaders with systematic frameworks to govern AI responsibly.
4 Weeks
6-8 hrs/week
Live Online
2 sessions/week
25 Participants
Curated cohorts
Q4 2026
Programme start
Four-Week Curriculum
Foundations
The AI Governance Landscape
Frameworks
Standards, Regulations & Risk
Implementation
Operationalising Governance
Evidence
Assurance, Audit & Board Reporting
Your Cohort
Who Should Apply
Designed exclusively for professionals with direct accountability for AI decisions, risk, and delivery.
Technology Executives
CIO · CTO · CDO · Head of AI
“Manage AI delivery without compromising assurance.”
Establish governance frameworks that enable innovation whilst maintaining defensible risk controls. Translate regulatory expectations into operational policies with measurable outcomes.
Risk & Compliance Leaders
CRO · CISO · Head of Risk · Audit
“Translate requirements into documented evidence.”
Establish comprehensive controls and decision frameworks with full audit trail. Reduce regulatory friction through systematic compliance documentation and risk management.
Public Sector Leaders
SES · Director · Policy Lead
“Ensure consistent governance across agencies.”
Implement systematic controls aligned with APS expectations and transparency requirements. Standardise AI governance practice across teams and establish accountability frameworks.
Programme Deliverables
Structured Governance Outputs
Each module produces operational governance artefacts with evidence documentation. Participants work towards a set of draft governance documents suitable for board and executive discussions and refinement.
Governance visibility and tracking
Monitor compliance status, risk controls, and governance decisions
- 1
AI Governance Operating Model
Defined forums, roles, RACI, and defensible decision workflows.
- 2
AI System Inventory Baseline
Complete mapping of what exists, where it sits, and who owns it.
- 3
Risk Register + Mitigation Plan
Customised and aligned to your organisation’s real use cases.
- 4
Assurance Pack
Evidence checklists, artefact index, and reporting cadences for board scrutiny.
Our Approach
Programme Design Principles
Built on clinical rigour and operational precision.
Artefact-centred
Every module produces a complete, populated governance template ready for implementation.
Evidence-ready
Comprehensive audit trail: decision logs, system inventory, risk register, audit evidence.
Facilitated clinics
Structured working sessions with expert facilitation, not passive instruction.
Regulatory-aligned
Curriculum designed to align with DTA Policy, APS AI Plan, NSW AIAF, and state-specific governance requirements.
Outcomes-quantified
Governance investments and risk mitigations linked to measurable organisational outcomes.
Applied and practical
A specialised 4-week cohort designed to prioritise implementation and real-world governance artefacts, not just frameworks.
Programme Facilitators
Learn from Expert Practitioners
Dr Eunice Sari
Certified Sprint Master
Dr Eunice Sari brings extensive experience in guiding organisations through complex governance transformations. As a Certified Sprint Master, she has developed and delivered structured programmes that translate regulatory requirements into practical, implementable frameworks. Her approach emphasises clarity, accountability, and measurable outcomes.
Certified Sprint Master with deep expertise in design thinking and innovation methodology
Mentored hundreds of AI companies globally through structured governance programmes
Josh (Adi) Tedjasaputra
Certified Sprint Master
Josh (Adi) Tedjasaputra is an AI Governance Strategist with deep expertise in human-computer interaction and responsible AI implementation. He has contributed to shaping Australia's AI policy through submissions to the Productivity Commission and is a key figure in the Western Australian AI Hub. His research-backed approach bridges academic rigour with practical governance frameworks.
Authored submissions to the Australian Government Productivity Commission on AI governance and sovereignty
Published HCI researcher with expertise in human-centred AI design and responsible technology adoption
Community Partner
Western Australian AI Hub
A community-led initiative dedicated to fostering Western Australia's growth as a global leader in applied and responsible artificial intelligence.
Our Mission
The WA AI Hub connects industry, government, academia, and the startup community to accelerate AI adoption in key economic sectors, cultivate world-class talent, and promote the development of safe, ethical, and inclusive AI solutions. We leverage Western Australia's unique strengths to drive economic diversification, industrial productivity, and social progress.
Visit wahub.ai(opens in new tab)Community & Collaboration
Connecting industry, government, academia, and startups to accelerate AI adoption across Western Australia.
Innovation & Research
Leveraging WA's unique datasets and expertise to drive economic diversification and industrial productivity.
Responsible AI
Promoting the development of safe, ethical, and inclusive AI solutions aligned with the WA AI Assurance Framework.
Training & Education
Building world-class AI talent through targeted programmes, hackathons, and industry partnerships.
Building sovereign AI capabilities for Western Australia's future prosperity.
Ready to build your AI governance framework?
Join 25 executives in the Q4 2026 cohort. Applications assessed on a rolling basis until places are filled.
Apply to Participate