AI that gives insurance adjusters, examiners, and investigators their time back, not another dashboard.

Every insurance adjusters, examiners, and investigators team we've worked with has a different definition of "broken".

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.

0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).

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.

What changes for insurance adjusters, examiners, and investigators week to week

Insurance Adjusters, Examiners, and Investigators 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
If we build the right slice first, Insurance Adjusters, Examiners, and Investigators feel the difference inside the first month. 0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Kiwi Dynamics

How it works in New Zealand

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

Definitely not a typical AI agency.

We say when AI is not the answer

Production first, demo second

You keep the hours, the data and the system

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

Good questions, answered

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

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 an insurance adjusters, examiners, and investigators team - so the savings start landing before the rest of the build is finished.

Anyone else in this space using AI?

Plenty. 0.01% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

What does the Privacy Commissioner expect before we use AI?

Senior leadership sign-off, a check that the tool is necessary and proportionate, and a privacy impact assessment before it goes live.

Do you respond to government tenders?

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

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