AI by industry · New Zealand & Australia

What business & finance gets right when AI lands well.

The reason we take on business & finance work is that the teams here tend to be sharper about what they want than the brief lets on. What we ship almost always ends up looking different to the generic pitch.

Where AI is landing

Adoption is already ahead of the curve — Australia sits at 4.11× expected AI usage (Anthropic Economic Index, March 2026). The teams that win turn that into one concrete, in-production workflow rather than a demo.

Roles in Business & Finance: Personal Financial Advisors Credit Counselors Agents and Business Managers of Artists, Performers, and Athletes Market Research Analysts and Marketing Specialists Online Merchants Financial Analysts Financial Quantitative Analysts Investment Underwriters Tax Preparers Accountants Human Resources Specialists Management Analysts Loan Counselors Loan Officers Security Management Specialists Compensation, Benefits, and Job Analysis Specialists Fundraisers Business Continuity Planners Logistics Engineers Financial Examiners Meeting, Convention, and Event Planners Auditors Purchasing Agents, Except Wholesale, Retail, and Farm Products Customs Brokers Risk Management Specialists Training and Development Specialists Appraisers, Real Estate Tax Examiners and Collectors, and Revenue Agents Regulatory Affairs Specialists Budget Analysts Equal Opportunity Representatives and Officers Government Property Inspectors and Investigators Logistics Analysts Fraud Examiners, Investigators and Analysts Logisticians Assessors Cost Estimators Licensing Examiners and Inspectors Sustainability Specialists Insurance Adjusters, Examiners, and Investigators Wholesale and Retail Buyers, Except Farm Products Credit Analysts Claims Examiners, Property and Casualty Insurance Environmental Compliance Inspectors Energy Auditors Labor Relations Specialists Insurance Underwriters Coroners Buyers and Purchasing Agents, Farm Products Insurance Appraisers, Auto Damage Farm Labor Contractors

The business & finance reality

What we keep hearing from NZ business & finance teams.

  • Draft reports, proposals and commentary.
  • Analyse spreadsheets and statements.
  • Answer policy questions with sources.
  • Automate onboarding and reminders.
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How we build AI for business & finance.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your team, so value lands before the build is finished.

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The outcome for Business & Finance teams

Adoption is already ahead of the curve — Australia sits at 4.11× expected AI usage (Anthropic Economic Index, March 2026). For Business & Finance teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

Questions

FAQ

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

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

A two-week paid discovery for Business & Finance teams 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.

Do you have proof this works for Business & Finance teams?

Direct case study: Adoption is already ahead of the curve — Australia sits at 4.11× expected AI usage (Anthropic Economic Index, March 2026). Happy to walk you through full numbers on a call.

What tools do you build AI on?

For AI we usually reach for Draft reports, proposals and commentary, Analyse spreadsheets and statements, Answer policy questions with sources, Automate onboarding and reminders. We're tool-agnostic at heart – we pick what your business & finance team team can actually run after we hand the build over, not what looks good on a vendor sticker.

Twenty minutes, your call.

You describe what's broken. We'll tell you what we'd actually do about it.

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Talk to us about this

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