Where AI actually helps statistical assistants, and where it doesn't.

There's a version of "AI for statistical assistants" that gets bought off a shelf and quietly stops getting used inside a month.

The shape of the result for Statistical Assistants: 0.11% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Built on Draft and answer routine email, hardened with the rest of the stack as it scales. Kiwi Dynamics

0.11% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).

Built differently, on purpose.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

On the tools or running at scale, the admin still eats the week :)

Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

How it works in New Zealand

We find the one workflow costing Statistical Assistants 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 statistical assistants week to week

Statistical Assistants sits within Office & Administration, one of the sectors we build production AI for.

  • Draft and answer routine email
  • Move data between systems
  • Schedule and chase follow-ups
  • Generate documents from templates

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 tools do you build AI on?

For AI we usually reach for Draft and answer routine email, Move data between systems, Schedule and chase follow-ups, Generate documents from templates. We're tool-agnostic at heart - we pick what your statistical assistants 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".

What's the smallest engagement you'd take on?

A two-week paid discovery for Statistical Assistants 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.

Does scheduling handle public holidays?

It should. New Zealand has 11 national public holidays, including Matariki, plus a regional anniversary day that depends on where your business is.

What happens when the Holidays Act is replaced?

The Employment Leave Act 2026 replaces it on 6 August 2028. Until then payroll follows the current Holidays Act, so leave calculations need to handle today's rules and the changeover.

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