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Founding Cohort: June to July 2026

Establish auditable AI governance in 4 weeks.

Systematic governance is now the operational imperative, not the optional enhancement.

A focused, intensive online cohort programme for executives seeking to implement structured, defensible AI governance frameworks aligned with Australian regulatory expectations and organisational risk tolerance.

Apply to Participate25 places | Applications close 27 May

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 AI in Government Policy v2.0, 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.

Domestic First

Australian organisations are primarily focused on local regulatory obligations, with international frameworks treated as secondary to domestic compliance priorities.

Federal Expectations

The APS AI Plan sets a whole-of-APS expectation for agencies to appoint Chief AI Officers, with implementation targets to July 2026.

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

Jun-Jul 2026

Founding cohort

Four-Week Curriculum

  1. Foundations

    The AI Governance Landscape

  2. Frameworks

    Standards, Regulations & Risk

  3. Implementation

    Operationalising Governance

  4. Evidence

    Assurance, Audit & Board Reporting

Your Cohort

Who Should Apply

Designed exclusively for professionals with direct accountability for AI decisions, risk, and delivery.

Diverse group of executives collaborating in a cohort session

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.

AI Governance Dashboard showing metrics and compliance tracking

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 and co-facilitator of the Responsible AI Governance Sprint™ programme

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, AI Governance Strategist and Certified Sprint Master co-facilitating the Responsible AI Governance Sprint™ programme

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.

Western Australian AI Hub logo

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 founding cohort. Applications close .

Apply to Participate