Veterinarians · Applied AI

For veterinarians who want results in weeks, not a year-long transformation programme.

Veterinarians are some of the most efficient operators in New Zealand – which means the easy wins from AI compliance monitoring are usually already taken. The brief we accept is the one focused on the workflow you've tried to fix twice and given up on.

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

From the trenches

The shape of every veterinarian brief we've seen.

  • Vet clinics run on bookings, recalls, and after-hours emergency calls, with a small front-desk team trying to do all three at once.
  • Between surgery schedules, vaccine recalls, and owners calling mid-panic, the phone and the inbox are where clinics lose the most time.
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How we build AI compliance monitoring for veterinarians.

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

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The outcome for veterinarians

We'd call the engagement a success when veterinarians are using the system without thinking about us. Compliance review effort cut 70% with fewer escalations.

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 fast could we have AI compliance monitoring in production?

Eight to ten weeks for most veterinarians. 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.

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

A two-week paid discovery for veterinarians 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 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. Compliance review effort cut 70% with fewer escalations.

What if our veterinarian doesn't have any data ready?

Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI compliance monitoring specifically, we typically run that work on Claude, Vercel, Postgres, AWS S3 and assume messy starting conditions from day one.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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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.