AI by role · New Zealand & Australia

AI for marine engineers who want fewer tabs open, not more.

Most marine engineers we talk to aren't short of software – they're short of an hour back in the day. That's the lens we put on AI for this role: not a tech showcase, but a careful look at the one workflow where marine engineers are paying for the same problem to be solved twice.

By the numbers

0.02% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026). For context, Australia's overall AI usage sits at 4.11× its expected level and Canada at 4.37× (with Singapore leading at 5.53×) — adoption is already well ahead of the curve, so the edge goes to whoever turns it into a concrete workflow first.

Marine Engineers sits within Architecture & Engineering, one of the sectors we build production AI for.

Where AI helps

What changes for marine engineers week to week.

  • Draft specs and documentation.
  • Check standards and compliance.
  • Summarise reports and drawings.
  • Speed up calculations and reviews.
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How we build AI for marine engineers.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your team, so value lands before the build is finished. The durable wins augment a person rather than replace them — a human approves anything that matters.

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The outcome for Marine Engineers

If we build the right slice first, Marine Engineers feel the difference inside the first month. 0.02% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026)

Not your typical AI agency.

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

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

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

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 Marine Engineers 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.

Can you walk us through a comparable build?

Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. 0.02% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026)

What tools do you build AI on?

For AI we usually reach for Draft specs and documentation, Check standards and compliance, Summarise reports and drawings, Speed up calculations and reviews. We're tool-agnostic at heart – we pick what your marine engineers team team can actually run after we hand the build over, not what looks good on a vendor sticker.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.