Capabilities
NZGPTS is engineered for Aotearoa: compliant, culturally aligned, and business-ready. Every workflow is versioned, audited, and human-in-the-loop.
Trusted, NZ-compliant AI solutions
- Aligned to NZ Privacy Act 2020 and MBIE AI guidance.
- Culturally attuned to Aotearoa and local data expectations.
- Human-in-the-loop for auditability & clear accountability.
NZ-first, Versioned, Human-in-the-Loop. Aligned to Privacy Act 2020 (IPPs), MBIE guidance, and Te Ao Māori principles. Download our templates on the Privacy page.
Release Notes
- Operator 3.0 — 2025-09-12
Added ComplianceMatrix (Privacy/MBIE/Māori data sovereignty). · Govt & SME landing pages introduced. · PIA/DPA templates linked for procurement.
Compliance & Cultural Alignment Versioned Human-in-the-Loop NZ-first
Question / Prompt | NZGPTS Adaptation Why this matters Hover any row to see the plain-English reason SMEs & public buyers care. |
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Which IPPs in the Privacy Act 2020 apply when an AI consultancy processes client data? PrivacySME | Map IPPs (1–4, 8–13) into every NZGPTS Audit. Auto-generate a Privacy Impact Statement (PIS) checklist in deliverables. Prevents accidental breaches; SMEs get clear steps to stay compliant while using AI. |
How does MBIE's Responsible AI guidance define transparency & explainability? GovernanceExplainability | Add a 'Transparency Note' to Executive Summaries that explains model logic, limits, and data paths in plain English. Govt reviewers expect a plain-language rationale; SMEs need clear risk/limit statements. |
What are cross-border requirements if overseas LLM APIs are used (OpenAI, Anthropic, MiniMax)? PrivacyRisk | Embed 'Data Residency & Transfer' step in onboarding. Include client consent + vendor list + region controls. Confirms lawful transfers and client awareness; critical for public sector and regulated SMEs. |
What constitutes genuine consultation with iwi/hapū for AI projects/taonga data? Te Ao MāoriEthics | Create a repeatable iwi/hapū consultation SOP + 'Taonga Data Acknowledgement' clauses in contracts & audits. Builds trust and legitimacy; reduces cultural and reputational risk; aligns to Te Tiriti expectations. |
Which MBIE ITP directives most affect SME AI adoption & workforce capability? PolicyFunding | Tag workflow steps to ITP goals (e.g., SME capability uplift, trustworthy AI). Add a 'Human-in-the-Loop' badge. Shows alignment with national priorities; strengthens funding/RFP credibility. |
Obligations under the Consumer Guarantees Act for AI-delivered outputs? Consumer LawClaims | Add 'Fitness for Purpose' checks + explicit limitation notes to strategy outputs and reports. Avoids misleading claims; sets accurate expectations for outcomes. |
Penalty-bearing sections of the Privacy Act relevant to AI consultancies? RiskPrivacy | Risk dashboard in internal SOPs flags these sections; mitigation playbook per scenario. Demonstrates active risk management; lowers legal exposure for clients. |
What would a NZ-specific AI Code of Practice look like today? StandardsAssurance | Publish 'NZGPTS Code of Practice'; align Operator v3.x with OECD principles for transparency, safety, fairness. Signals maturity; creates a clear benchmark for SMEs and public buyers. |
All workflows, audits, and deliverables are built and hosted in New Zealand.