The honest read on AI for computer and information research scientists in NZ and Australia.
Every computer and information research scientists team we've worked with has a different definition of "broken".
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.
0.6% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).
Small crew or big organisation, the busywork is the same :)
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.
We'd call the engagement a success when Computer and Information Research Scientists are using the system without thinking about us. 0.6% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) 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.
What changes for computer and information research scientists week to week
Computer and Information Research Scientists sits within Computer & Software, one of the sectors we build production AI for.
- Draft, review and refactor code
- Turn tickets into tested changes
- Document systems and write runbooks
- Triage logs and incidents
Built differently, on purpose.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Straight answers
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
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 Draft, review and refactor code, Turn tickets into tested changes, Document systems and write runbooks, Triage logs and incidents but the architecture supports your existing platform choices.
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 computer and information research scientists team - so the savings start landing before the rest of the build is finished.
Can it remind us about the annual return?
Yes. Every company must file an annual return with the Companies Office each year, separate from its tax return.
What does the Privacy Commissioner expect before we use AI?
Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.
Get started in 5 minutes
StartContact us
Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.
Was this helpful?
Thanks, your comment is with our team.