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.

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.

Adoption is already ahead of the curve - Singapore sits at 5.53x expected AI usage (Anthropic Economic Index, March 2026).

Adoption is already ahead of the curve - Singapore sits at 5.53x 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. Kiwi Dynamics

Where AI is landing in business & finance

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.

  • Draft reports, proposals and commentary
  • Analyse spreadsheets and statements
  • Answer policy questions with sources
  • Automate onboarding and reminders

How the work runs

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

An AI agency, minus the theatre.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

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

Straight answers

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 - Singapore sits at 5.53x expected AI usage (Anthropic Economic Index, March 2026). Happy to walk you through full numbers on a call.

Do you respond to government tenders?

Most large government contracts are advertised on GETS, the Government Electronic Tender Service, where suppliers register with RealMe.

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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