Where AI actually helps intelligence analysts, and where it doesn't.

There's a version of "AI for intelligence analysts" that gets bought off a shelf and quietly stops getting used inside a month.

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0.03% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).

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Not your typical AI agency.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

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

What changes for intelligence analysts week to week

Intelligence Analysts sits within Protective Services, one of the sectors we build production AI for.

Draft reports and summaries
Answer policy and procedure questions
Triage and route requests
Cut administrative load

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.

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*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

How it works in New Zealand

We find the one workflow costing Intelligence Analysts the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

To start, tell us about your week

If we build the right slice first, Intelligence Analysts feel the difference inside the first month. 0.03% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) 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.

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Questions intelligence analysts ask

Can you walk us through a comparable build?

Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. 0.03% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026)

What's the smallest engagement you'd take on?

A two-week paid discovery for Intelligence Analysts that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.

How fast could we have AI in production?

Eight to ten weeks for most Intelligence Analysts. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.

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.

Does scheduling handle public holidays?

It should. New Zealand has 11 national public holidays, including Matariki, plus a regional anniversary day that depends on where your business is.

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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.