New Zealand’s planning system is in the middle of its most significant reform in decades. The shift from the Resource Management Act to the new Natural and Built Environment Act, the Fast-track Approvals Act, and the ongoing National Policy Statement rollouts have created a moving target for planners — more complexity, more documentation, and less time. AI can’t read political tea leaves, but it can handle a significant portion of the writing, research, and report production that consumes a planner’s working week.
How NZ Planners Are Using AI
Resource Consent Applications
Writing resource consent applications is one of the most time-intensive tasks in planning practice. AI can help you draft the assessment of environmental effects (AEE), structure the application narrative, and generate consistent policy analysis sections. You provide the site data, the policy framework, and the professional judgment; AI handles the drafting. For repeat application types — subdivisions, additions, permitted activity certificates — templates can be built and reused across projects.
Policy Research and Analysis
Planners spend hours navigating district plans, national policy statements, and central government guidance. AI is useful for quickly summarising policy documents, identifying relevant rules and objectives for a specific site or activity, and comparing provisions across multiple district plans. This is particularly valuable when working across different territorial authorities or analysing the implications of new NPS instruments.
Section 42A Reports and Hearing Preparation
Drafting s42A officer’s reports is labour-intensive — structured, repetitive in format, but requiring careful policy analysis throughout. AI can build the scaffolding: introductory sections, summary of submissions, policy framework, and recommendation structure. Your professional analysis and judgment complete the substance. The same applies to expert witness statements, where AI can draft the non-technical sections and formatting while you write the technical opinion.
Submission Drafting and Analysis
Whether you’re drafting a submission on a plan change, a proposed NPS, or a private plan change application, AI can produce first drafts from your policy position and key points. For planners on the receiving end — analysing large volumes of submissions — AI can summarise and categorise submissions by issue, saving significant time in the pre-hearing phase.
Design Briefs and Urban Design Reports
Urban designers can use AI to draft design briefs, urban design frameworks, character assessments, and design guides. Give AI the site context, the design principles, and the planning objectives — it drafts the written narrative. This is particularly useful for structure planning work where large volumes of written material need to be produced efficiently.
Iwi and Community Consultation Documentation
Under the NBA and Treaty settlement legislation, engagement with tangata whenua is a core planning requirement. AI can help draft consultation letters, hui summaries, and engagement reports — though content touching on tikanga, Treaty obligations, or mātauranga Māori must always be reviewed by someone with appropriate expertise and cultural authority. AI is a drafting tool here, not a cultural adviser.
Fast-track Approvals Act Preparation
The Fast-track Approvals Act 2024 introduced a new referral pathway for qualifying projects. AI can help prepare the referral application narrative, summarise the relevant expert reports, and draft the project description sections. Given the tight timeframes involved in fast-track processes, AI-assisted drafting provides real leverage.
Client Reports and Planning Advice Letters
Planning advice letters, pre-application meeting summaries, and consent monitoring reports follow consistent formats that AI handles well. Describe the site, the activity, and the key findings — AI structures it into a professional letter or report. This is a high-volume, lower-complexity task that AI can significantly accelerate.
Important Limits
- Professional sign-off — all resource consent applications, s42A reports, and expert witness statements require the professional judgment and signature of a qualified planner. AI drafts; you certify.
- Policy interpretation — AI can summarise policy but cannot reliably interpret ambiguous provisions or anticipate how a consent authority will exercise discretion. That’s your professional opinion.
- Treaty obligations — AI must not be used to substitute for genuine tangata whenua engagement or to generate content purporting to represent iwi positions
- Fast-changing legislation — NZ planning law is changing rapidly. AI training data may not reflect the latest NBA provisions, NPS updates, or Fast-track criteria. Always verify currency.
Privacy Considerations
Resource consent applications often contain personal information about landowners, submitters, and affected parties. Under the New Zealand Privacy Act 2020, be careful about pasting identifiable personal information into consumer AI tools. Use anonymised or placeholder names when drafting with AI assistance, and substitute real details only in your final document.
Getting Started This Week
- Day 1: Take your last resource consent application and use AI to rebuild the AEE structure — see how close it gets with your dot-point notes as input
- Day 2: Use AI to summarise the relevant objectives and policies from your most-used district plan chapter
- Day 3: Have AI draft a planning advice letter for a simple permitted activity query
Want to Build AI Into Your Planning Practice?
An AI Roadmap Workshop can map out exactly where AI will save the most time in your planning practice or local government team. We also offer AI training for local government and professional services teams across New Zealand.
