AI compliance + audit - wired into a Wellington workflow, not bolted on the side.

Our goal is to give Wellington businesses a three-day weekend, so people can spend more time with their families and the people they love :)

Wellington businesses don't need another generic AI pitch. AI compliance monitoring only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Wellington.

What AI compliance monitoring actually does

AI that watches your forms, calls, contracts, and emails for compliance risk - Health & Safety, Privacy Act, Fair Trading, FMA. Flags issues before regulators or lawyers find them.

  • 01 Reviews documents and recordings against your obligations
  • 02 Risk scoring with explanations a manager can act on
  • 03 Auto-redacts personal info in records you share externally
  • 04 Audit-ready logs for WorkSafe, FMA, or Privacy Commissioner

Built on: Claude Vercel Postgres AWS S3

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI compliance monitoring compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

Our field notes from Wellington builds.

  • Wellington runs on policy, tech, and tight talent pools. AI here is about scaling expertise - not replacing it.
  • From central-government contractors to Kilbirnie tradies, Wellington teams want AI that respects security, privacy, and a healthy scepticism. We build accordingly.

We work with teams across Wellington: Te Aro · Thorndon · Newtown · Kilbirnie · Karori · Johnsonville · Petone · Lower Hutt.

Talk to us about this →

How we build AI compliance monitoring for a Wellington team.

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

Talk to us

How the work runs

The outcome for Wellington teams

Compliance review effort cut 70% with fewer escalations. For Wellington 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

Start a conversation

*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.

Try the calculator

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

FAQ

What's the realistic timeline for AI compliance monitoring with a Wellington?

Most Wellington businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

What does AI compliance monitoring cost for a Wellington?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

What's the realistic outcome for Wellington businesses?

Compliance review effort cut 70% with fewer escalations. We don't promise tenfold lifts because we don't see them outside of marketing decks.

What happens if we want to swap a vendor out later?

AI compliance monitoring is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude, Vercel, Postgres, AWS S3 are our defaults, but the build is intentionally portable.

Sketch this with us.

We'll map your real workflow before quoting anything.

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.