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

Most financial analysts we talk to aren't short of software - they're short of an hour back in the day.

Business and Financial OperationsBuilt in New ZealandProduction AI, not slidewareHours back, not headcountBusiness and Financial OperationsBuilt in New ZealandProduction AI, not slidewareHours back, not headcountBusiness and Financial OperationsBuilt in New ZealandProduction AI, not slidewareHours back, not headcountBusiness and Financial OperationsBuilt in New ZealandProduction AI, not slidewareHours back, not headcount

0.23% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).

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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.*

With us

52 hrs

Without

468 hrs

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*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.

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What changes for financial analysts week to week

Financial Analysts 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

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.

Not your typical AI agency.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

We'd call the engagement a success when Financial Analysts are using the system without thinking about us. 0.23% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Kiwi Dynamics

Good questions, answered

How fast could we have AI in production?

Eight to ten weeks for most Financial 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 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. 0.23% 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 Financial 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.

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.

Do you work with Xero?

Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.

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