The honest read on AI for urban and regional planners in NZ and Australia.
Every urban and regional planners team we've worked with has a different definition of "broken".
0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).
If we build the right slice first, Urban and Regional Planners feel the difference inside the first month. 0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Kiwi Dynamics
Small crew or big organisation, the busywork is the same :)
The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.
*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.
Already buried in admin? We'll sort the first workflow for you :)
Nine hours a week of admin is 468 hours a year. That could drop to about 52.*
*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.
What changes for urban and regional planners week to week
Urban and Regional Planners sits within Science & Research, one of the sectors we build production AI for.
- Summarise literature with citations
- Clean and explore datasets
- Draft methods and reports
- Answer questions over your documents
By the numbers
Canada's overall AI usage sits at 4.37x its expected level, with Singapore leading at 5.53x.
Adoption is already well ahead of the curve, and the edge goes to whoever turns it into a concrete workflow first.
Questions urban and regional planners ask
Anyone else in this space using AI?
Plenty. 0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Who owns the code and the model setup?
You do, on delivery. We deploy AI into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Summarise literature with citations sits in your account too - we don't operate it from ours.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
Let's chat
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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
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