AI efficiency audit designed around the way a Novena team actually runs.

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 :)

Novena sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers - none of those are details our default AI efficiency audit template would catch.

What AI efficiency audit actually does

A two-week audit that maps your team's actual time spend, finds the 5 highest-leverage AI plays, and ships the first one. No vapourware, no 80-slide decks - just one working thing.

  • 01 Time-and-motion review of your top 5 workflows
  • 02 Ranked AI opportunity list - ROI, effort, risk
  • 03 One pilot shipped in week two, not a six-month roadmap
  • 04 Fixed price, fixed scope, kept honest

Built on: Claude Notion Loom Linear Vercel

What you actually get

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

How AI efficiency audit 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

What we keep seeing in Novena.

  • 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 efficiency audit 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. Find AI wins fast.

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How the work runs

The outcome for Novena teams

We'd call the engagement a success when Novena teams are using the system without thinking about us. Average pilot saves 8 hours/week within 30 days of launch.

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.

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 efficiency audit 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 efficiency audit 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.

What's the realistic outcome for Novena businesses?

Average pilot saves 8 hours/week within 30 days of launch. 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 efficiency audit 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, Notion, Loom, Linear, 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.

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.