In force
Dec 2020
Privacy Act 2020
Replaced the 1993 Act. The 13 information privacy principles apply to all AI data handling.
We advise New Zealand banks, insurers, government agencies, and Crown entities on AI governance under the Privacy Act 2020, Te Tiriti o Waitangi, FMA / RBNZ expectations, and the Public Service AI Framework.
Built for
A documented map of every AI system in use, classified by risk tier and tied to a named accountable owner.
Controls mapped against the 13 Privacy Principles, ISO 42001, and the Public Service AI Framework where applicable.
Governance practices that respect whakapapa, embed kaitiakitanga, and protect tangata whenua in AI outputs.
A single evidence pack a regulator, internal auditor, or external reviewer can work through end to end.
Domestic milestones and the international frameworks that affect New Zealand organisations.
In force
Dec 2020
Privacy Act 2020
Replaced the 1993 Act. The 13 information privacy principles apply to all AI data handling.
Active
Feb 2025
Public Service AI Framework
GenAI procurement guidance for government agencies. Traceability, risk assessment, and exit strategies.
Published
Jul 2025
National AI Strategy
New Zealand's first national AI strategy. Signals a shift from fully voluntary to guided governance.
Upcoming
Aug 2026
EU AI Act
Full enforcement. NZ companies serving EU customers must comply.
Aotearoa was the last OECD nation to publish a national AI strategy. Existing law still applies, and the cost of catching up after a regulator asks is materially higher than building the framework first.
The Privacy Act 2020 sets 13 information privacy principles. The Fair Trading Act prohibits misleading conduct. The Companies Act 1993 requires director due diligence. All of them apply to AI systems, none come with implementation guidance for algorithmic decision-making.
Privacy Act compliance guideTe Tiriti o Waitangi creates obligations around M膩ori data sovereignty that most AI governance frameworks ignore. Kaitiakitanga calls for guardianship, not only compliance. Crown entities, organisations receiving public funding, and any deployer working with M膩ori data need governance that respects whakapapa and protects against AI systems that perpetuate bias against tangata whenua.
M膩ori data governanceThe FMA, RBNZ, and Office of the Privacy Commissioner are each monitoring AI adoption in their respective remits. The Public Service AI Framework sets procurement, traceability, and exit-planning expectations for government agencies using generative AI. Wider regulation is expected to follow the National AI Strategy.
Public Service AI FrameworkThe EU AI Act applies to any New Zealand organisation placing AI on the European market, with full enforcement from August 2026. ISO/IEC 42001 certification is becoming the de facto international benchmark for AI management systems and is increasingly required by enterprise procurement teams.
Regulatory compliance overviewThree practice tracks, each tied to documented artefacts. Structures that hold up where there is no prescriptive rulebook.
Track A
Accountability structures, AI policies, and operating models that satisfy Privacy Act principles and board-level due diligence under the Companies Act 1993.
Track B
Independent evaluation of AI systems against the 13 Privacy Principles, cultural impact for Te Tiriti obligations, and assurance ahead of regulatory tightening.
Track C
Privacy Act obligations, Treaty-aligned data practices, Public Service AI Framework readiness, and leadership education on evolving expectations.
From Auckland's financial district to Wellington's public service and Christchurch's technology sector, every industry faces distinct governance pressures.
The calculator gives you a baseline view of your AI risk exposure against ISO 42001 and EU AI Act lenses in under five minutes. From there we can map your governance against the Privacy Act 2020, Te Tiriti obligations, and FMA / RBNZ expectations.