AI for auditors who want fewer tabs open, not more.
Most auditors we talk to aren't short of software - they're short of an hour back in the day.
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.
0.06% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).
How it works in New Zealand
We find the one workflow costing Auditors the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
What changes for auditors week to week
Auditors sits within Business & Finance, one of the sectors we build production AI for.
- Draft reports, proposals and commentary
- Analyse spreadsheets and statements
- Answer policy questions with sources
- Automate onboarding and reminders
What changes for Auditors after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 0.06% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Kiwi Dynamics
An AI agency, minus the theatre.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
Straight answers
What's the smallest engagement you'd take on?
A two-week paid discovery for Auditors that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
What tools do you build AI on?
For AI we usually reach for Draft reports, proposals and commentary, Analyse spreadsheets and statements, Answer policy questions with sources, Automate onboarding and reminders. We're tool-agnostic at heart - we pick what your auditors team team can actually run after we hand the build over, not what looks good on a vendor sticker.
How quickly can we see something running?
Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".
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.
Can the AI run on New Zealand-hosted cloud?
Yes, the options now exist. Microsoft opened a New Zealand cloud region in December 2024 and AWS followed in September 2025, both with local data residency.
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