AI that gives market research analysts and marketing specialists their time back, not another dashboard.
When market research analysts and marketing specialists ask us what AI actually changes, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday?
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.
0.32% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).
0.32% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) For Market Research Analysts and Marketing Specialists, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart. 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.
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.
Not your typical AI agency.
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
What changes for market research analysts and marketing specialists week to week
Market Research Analysts and Marketing Specialists sits within Business & Finance, one of the sectors we build production AI for.
- Draft reports, proposals and commentary
- Analyse spreadsheets and statements
- Answer policy questions with sources
- Automate onboarding and reminders
Good questions, answered
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 reports, proposals and commentary, Analyse spreadsheets and statements, Answer policy questions with sources, Automate onboarding and reminders 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 market research analysts and marketing specialists team - so the savings start landing before the rest of the build is finished.
Do you have proof this works for Market Research Analysts and Marketing Specialists?
Direct case study: 0.32% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Happy to walk you through full numbers on a call.
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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