AI by role · New Zealand & Australia

Built for the parts of the animal scientists job that eat a Tuesday.

Every animal scientists team we've worked with has a different definition of "broken". AI only earns its keep when it solves the specific definition you'd give it on a bad day – which is why our first call is mostly listening.

By the numbers

0.01% 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.

Animal Scientists sits within Science & Research, one of the sectors we build production AI for.

Where AI helps

What changes for animal scientists week to week.

  • Summarise literature with citations.
  • Clean and explore datasets.
  • Draft methods and reports.
  • Answer questions over your documents.
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How we build AI for animal scientists.

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 Animal Scientists

The shape of the result for Animal Scientists: 0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Built on Summarise literature with citations, 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

When does AI actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a animal scientists team – so the savings start landing before the rest of the build is finished.

How do you price AI engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Animal Scientists are surprised how small the first cheque is.

What's the realistic outcome for Animal Scientists?

0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) We don't promise tenfold lifts because we don't see them outside of marketing decks.

Will this run on our own infrastructure?

Yes, where it makes sense. AI can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Summarise literature with citations, Clean and explore datasets, Draft methods and reports, Answer questions over your documents but the architecture supports your existing platform choices.

Skip the pitch.

Tell us the workflow and we'll come back with what we'd build first.

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