The honest read on AI for industrial ecologists in NZ and Australia.

Every industrial ecologists team we've worked with has a different definition of "broken".

An AI agency, minus the theatre.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).

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.

What changes for industrial ecologists week to week

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

  • Summarise literature with citations
  • Clean and explore datasets
  • Draft methods and reports
  • Answer questions over your documents

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

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.

The shape of the result for Industrial Ecologists: 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. Kiwi Dynamics

Already buried in admin? We'll sort the first workflow for you :)

Nine hours a week of admin is 468 hours a year. That could drop to about 52.*

*Illustrative, based on 9 hours a week of admin at a typical 80% automation rate. The calculator uses your own numbers.

Good questions, answered

How long does AI take to ship for Industrial Ecologists?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Industrial Ecologists data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Who owns the code and the model setup?

You do, on delivery. We deploy AI into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Summarise literature with citations sits in your account too - we don't operate it from ours.

Anyone else in this space using AI?

Plenty. 0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

Can AI help with payday filing?

It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.

Do you respond to government tenders?

Most large government contracts are advertised on GETS, the Government Electronic Tender Service, where suppliers register with RealMe.

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