AI meeting notes 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 businesses don't need another generic AI pitch. AI meeting notes 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 Central Region.

What AI meeting notes actually does

Every call, site visit, or toolbox talk captured, summarised, and turned into action items in your CRM or project tool. No more 'who was meant to do that?'.

  • 01 Works on Teams, Zoom, Meet, or in-person recordings
  • 02 Action items auto-pushed to ClickUp, Asana, or Jira
  • 03 Searchable history across every meeting your team holds
  • 04 Confidentiality controls - what stays internal, stays

Built on: Whisper Claude Recall.ai Vercel

What you actually get

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

How AI meeting notes 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.

Talk to us about this →

How we build AI meeting notes 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 meeting capture.

Talk to us

How the work runs

The outcome for Novena teams

Saves managers ~5 hours a week on follow-up admin. For Novena 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 meeting notes 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 meeting notes 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.

Has this actually shipped for a real Novena?

Yes. Saves managers ~5 hours a week on follow-up admin. We'll share comparable engagements on the call.

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

AI meeting notes 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. Whisper, Claude, Recall.ai, Vercel 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.