Assurance · All services

Adopt AI at pace, with governance you can defend.

The challenge

AI is now expected — by ministers, boards, regulators and clinicians — and so is accountability for it. Commonwealth agencies face mandatory use-case registers, impact assessments and incident reporting in 2026. Health organisations must reconcile clinical safety, privacy and medical-device regulation with tools already in clinicians’ hands. The private sector has no AI Act to hide behind: existing law applies, and directors carry the risk.

What we do

  • AI governance frameworks: policy, accountable roles, use-case register, risk tiering, impact assessment, incident management and monitoring
  • Alignment to the Policy for the responsible use of AI in government v2.0 and the AI Technical Standard (including the agentic AI addendum); the National AI Centre’s Guidance for AI Adoption; ISO/IEC 42001; and sector frameworks such as the ACT Health AI Framework, Commission guidance and TGA requirements
  • AI transparency statements and support for accountable officials
  • Use-case discovery and prioritisation: where AI creates value, and where it creates exposure
  • Procurement and vendor due diligence for AI-enabled products
  • Architecture and data foundations for AI — integration, lineage, security and human oversight
  • Executive and board education, and workforce AI literacy programs

What you get

  • A defensible governance system sized to your risk appetite
  • A register and assessment process people will actually use
  • A prioritised, funded adoption roadmap
  • Evidence for regulators, auditors, insurers and the public

Who it is for

Accountable officials and chief data or digital officers in government; chief medical information officers and clinical governance leads; boards and executives of regulated organisations; AI product vendors selling into government and health.

Why Nexgen for this

Nexgen combines executive accountability for regulated national services, formal data science and analytics qualifications, and enterprise architecture leadership — the three things AI governance needs, and most advisers have only one of.

Next step

December 2026 is closer than it looks.