AI that gives forensic science technicians their time back, not another dashboard.
Every forensic science technicians team we've worked with has a different definition of "broken".
AI adoption in this role is still early - which is exactly where the edge is cheapest to win.
How the work runs
We find the one workflow costing Forensic Science Technicians the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.
Definitely not a typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
We'd call the engagement a success when Forensic Science Technicians are using the system without thinking about us. AI adoption in this role is still early - which is exactly where the edge is cheapest to win Kiwi Dynamics
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.
From one-person trades to national organisations, we find the hours :)
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.
What changes for forensic science technicians week to week
Forensic Science Technicians 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
Questions forensic science technicians ask
Can you work with our existing systems?
Yes. The default AI stack we reach for is Summarise literature with citations, Clean and explore datasets, Draft methods and reports, Answer questions over your documents, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
What's a typical engagement length for Forensic Science Technicians?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
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.
Can the AI run on New Zealand-hosted cloud?
Yes, the options now exist. Microsoft opened a New Zealand cloud region in December 2024 and AWS followed in September 2025, both with local data residency.
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.
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