AI by role · New Zealand & Australia

Where AI actually helps interpreters and translators, and where it doesn't.

There's a version of "AI for interpreters and translators" that gets bought off a shelf and quietly stops getting used inside a month. Then there's the version wired into the real workflow, owned by a person on the team, still in use a year later. We only build the second one.

By the numbers

0.72% 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.

Interpreters and Translators sits within Media, Design & Content, one of the sectors we build production AI for.

Where AI helps

What changes for interpreters and translators week to week.

  • Draft and edit copy on brand.
  • Repurpose content across channels.
  • Research and outline fast.
  • Caption, summarise and tag media.
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How we build AI for interpreters and translators.

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 Interpreters and Translators

The shape of the result for Interpreters and Translators: 0.72% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Built on Draft and edit copy on brand, hardened with the rest of the stack as it scales.

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 Interpreters and Translators 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.

Has this actually shipped for a real interpreters and translators team?

Yes. 0.72% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) We'll share comparable engagements on the call.

What tools do you build AI on?

For AI we usually reach for Draft and edit copy on brand, Repurpose content across channels, Research and outline fast, Caption, summarise and tag media. We're tool-agnostic at heart – we pick what your interpreters and translators team team can actually run after we hand the build over, not what looks good on a vendor sticker.

Sketch this with us.

We'll map your real workflow before quoting anything.

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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.