AI training that satisfies regulators and builds real capability.
All Australian Public Service agencies must train every Commonwealth employee in AI fundamentals by June 2026. OAIC explainability guidance is in force. Privacy Act ADM transparency starts 10 December 2026. Only 41% of Australian workplaces are AI-ready, below the global average of 48%. Generic AI training will not close the gap.
Built for
What a training programme delivers.
Role-based pathways
Four levels from foundational awareness to strategic leadership. Each pathway sized for the appropriate depth and context.
Regulatory integration
Compliance built into every module. OAIC explainability, Australia's 8 AI Ethics Principles, Privacy Act ADM, sector standards.
Competency assessment
Knowledge checks, application exercises, and reporting that distinguishes literacy from capability. Sized for leadership visibility.
Change management
Workforce engagement strategies that address AI concerns, build internal champions, and turn capability into daily practice.
The AI training landscape in Australia.
Only 41% of Australian workplaces are AI-ready, below the global average of 48%. New training mandates arrive while employees need practical skills inside compliance and governance boundaries. The gap between adoption and workforce capability is widening.
- 01Jun 2026
APS AI training mandate.
The Policy for Responsible Use of AI in Government (effective December 2025) mandates AI fundamentals training for all Australian Public Service staff by June 2026. Training must cover identifying AI types, applying Australia's 8 AI Ethics Principles, and managing AI systems for accuracy, bias, and transparency. Private sector organisations are adopting similar strategies ahead of expected regulatory expansion.
- 02In force
OAIC explainability guidance.
OAIC guidance requires organisations to ensure their team can provide meaningful explanations of AI outputs to affected individuals. Without training that integrates explainability into daily practice, businesses face growing risk management gaps that undermine trust and regulatory standing.
- 0310 Dec 2026
Privacy Act ADM amendments.
Privacy Act amendments taking effect 10 December 2026 require organisations to update privacy policies for automated decision-making systems. New compliance training needs follow, including identifying which AI makes decisions significantly affecting individuals and how staff communicate that to affected people.
- 04Workforce
The capability gap inside L&D itself.
Only 45% of L&D professionals have experimented with generative AI tools, yet they are responsible for building AI capability across the entire workforce. Australia faces a projected shortfall of 60,000 AI professionals by 2027, making internal capability building and upskilling a strategic priority.
- 05Standards
Responsible AI in practice.
Australia's Voluntary AI Safety Standard provides 10 guardrails for responsible AI deployment. Australia's 8 AI Ethics Principles cover wellbeing, fairness, privacy, transparency, contestability, and accountability. Training programmes must translate these into practical skills every team member can apply, turning principles into daily practice.
Four-level AI capability framework.
From foundational awareness through strategic leadership. Each level builds on the last, creating a structured path from AI literacy (knowledge) to AI capability (application).
Level 1
AI awareness
All employees regardless of role. Meets the APS mandate for AI fundamentals. 30 minutes e-learning or 2-hour workshop. Self-paced, virtual, or in-person.
- What AI is and how it works
- Australia's 8 AI Ethics Principles
- Privacy, security, compliance awareness
- Organisational AI policies and escalation
Level 2
AI practitioner
Team members using AI tools daily. Hands-on capability for workplace application. Half-day to full-day workshops. Outcomes include up to 40% reduction in writing and admin time.
- Prompt engineering fundamentals and advanced
- Tool-specific (ChatGPT, Copilot, Claude)
- Quality assurance and bias identification
- Workflow integration and automation
Level 3
AI specialist
IT professionals, data teams, technical specialists. 2 to 5 days, intensive or project-based. Includes ISO 42001 readiness and cloud platform alignment.
- AI architecture evaluation and vendor assessment
- Implementation and integration practices
- Security, compliance, risk management
- ISO/IEC 42001 AI management system
Level 4
AI leadership
C-suite and boards. 2 to 8 hours. Executive sessions, board briefings, advisory. Outcome: AI strategy capability and governance oversight confidence.
- AI strategic landscape and opportunity
- Governance frameworks and board oversight
- Risk, investment, transformation planning
- Australian regulatory and change management
How we deliver training that sticks.
Tailored to your industry, regulatory requirements, and approved tools. Change management built in so capability translates into daily practice, not just completion certificates.
- 01
Training needs assessment.
We evaluate current capability maturity, compliance requirements, approved tools, and business objectives. Competency gaps across roles. A tailored strategy with role-based pathways, measurement criteria, and delivery recommendations.
- 02
Curriculum customisation.
Adapted to your industry context, use cases, and governance policies. For APS agencies we align directly with the training mandate. For financial services we incorporate APRA and ASIC. For healthcare we include TGA and AHPRA.
- 03
Delivery with change management.
In-person workshops, live virtual sessions, self-paced e-learning, or blended. Hands-on exercises using real work examples. Change management practices embedded throughout so AI adoption becomes cultural, not just procedural.
- 04
Measurement and reporting.
Completion rates, competency scores, productivity metrics, and compliance adherence. Distinguishes AI literacy (knowledge) from AI capability (application). Leadership reporting on training ROI and skills progression.
Industry-specific programmes.
Sector-specific regulatory requirements, AI tools, and operational realities baked into the curriculum.
Sector A
Government & public sector
APS mandate-compliant. Policy for Responsible Use of AI, Australia's 8 AI Ethics Principles, and transparency statement obligations. AI capability built without compromising public trust and accountability.
Sector B
Financial services
For banks, insurers, and superannuation funds. APRA information security obligations, ASIC expectations on AI governance and consumer fairness, and Financial Accountability Regime requirements integrated into the curriculum.
Sector C
Healthcare
TGA medical device software considerations, clinical AI validation, patient data privacy, and responsible AI principles in clinical decision support. Hospitals, health districts, and digital health providers.
Related AI consulting services.
Design a training programme that ships compliance.
Tailored programmes for Australian organisations. Multiple delivery formats. Governance integrated into every module. Competency assessment included so capability becomes measurable.