AI-generated quotes - wired into a Novena workflow, not bolted on the side.

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

The reason we take on work in Novena is that the businesses here tend to be sharper about what they want than the brief lets on. AI quoting for a Novena team almost always ends up looking different to AI quoting for a downtown Auckland one.

What AI quoting actually does

Customers send a photo, a brief, or a voicemail - AI drafts a structured quote in your pricing format. You review, tweak, send. Quotes go out the same day, not next week.

  • 01 Reads photos, voice notes, emails, and PDFs
  • 02 Uses your pricing rules and current material costs
  • 03 Drafts in your branded template, ready to send
  • 04 Tracks win/loss to make the next quote sharper

Built on: Claude Vision Whisper Xero Vercel

What you actually get

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

How AI quoting 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 Novena builds.

  • Novena is Singapore's medical hub, dense with private hospitals and specialist clinics - AI here means handling patient-facing and admin work with genuine care around accuracy.
  • One of the highest concentrations of private hospitals and specialist medical centres in the region, serving both local patients and medical tourism. Clinics here want AI that reduces admin load without ever compromising on precision.

We work with teams across Novena: Novena Medical Centre · Thomson · Balestier · Toa Payoh · Newton.

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How we build AI quoting for a Novena team.

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

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How the work runs

The outcome for Novena teams

If we build the right slice first, Novena teams feel the difference inside the first month. Quote turnaround drops from days to under an hour.

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.

FAQ

What's the realistic timeline for AI quoting with a Novena?

Most Novena 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".

Is AI quoting worth it for a smaller Novena?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

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. Quote turnaround drops from days to under an hour.

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

AI quoting 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 Vision, Whisper, Xero, Vercel are our defaults, but the build is intentionally portable.

One short call.

Tell us what you're trying to fix. We'll come back inside a working day.

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