AI that gives operations research analysts their time back, not another dashboard.
Every operations research analysts team we've worked with has a different definition of "broken".
What changes for operations research analysts week to week
Operations Research Analysts 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
0.42% 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.
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.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
How it works in New Zealand
We find the one workflow costing Operations Research Analysts the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
The shape of the result for Operations Research Analysts: 0.42% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Built on Draft, review and refactor code, hardened with the rest of the stack as it scales. Kiwi Dynamics
Questions operations research analysts ask
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 an operations research analysts 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 Operations Research Analysts are surprised how small the first cheque is.
How does this fit the Public Service AI Framework?
The framework, led by the Government Chief Digital Officer, asks for safe, transparent and accountable AI. Agencies that sign the Algorithm Charter also commit to transparency in how they use algorithms.
Can you work to the NZISM?
The NZISM is the government's information security manual and is written for vendors serving agencies as well as the agencies themselves, so government-adjacent work should be built to it.
Let's chat
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