For Singapore operators who want a working pilot in weeks, not a year-long programme.

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

We've worked with enough operators in Singapore to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any voice AI agents project is sit with your team for a day before we propose anything.

What voice AI agents actually does

Never miss a call again. AI phone agents that answer common enquiries, book jobs, and route urgent ones - in a Kiwi voice your customers won't hate.

  • 01 Trained on your business hours, services, and pricing
  • 02 Books appointments straight into your calendar
  • 03 Texts the team for anything urgent
  • 04 Full call transcript and audio recorded for QA

Built on: Vapi Retell Twilio OpenAI Realtime

What you actually get

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

How voice AI agents 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

The Singapore context, plainly.

  • Singapore has one of the highest AI adoption rates in the world, and the CBD runs on banking, wealth management and regional HQ operations - AI here has to meet a market that's already fluent in it.
  • Home to the regional headquarters of most major global banks and a dense wealth management sector, sitting inside a government that's pushed AI adoption harder than almost any other country. Singapore businesses expect AI that's precise, compliant and genuinely production-ready, not a pilot.

We work with teams across Singapore: Raffles Place · Marina Bay · Shenton Way · Tanjong Pagar · City Hall.

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How we build voice AI agents for a Singapore team.

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

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How the work runs

The outcome for Singapore teams

42% of after-hours calls now booked without human input. For Singapore 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

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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

How long does voice AI agents take to ship for Singapore businesses?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Singapore businesses data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

How do you price voice AI agents engagements?

Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Singapore businesses are surprised how small the first cheque is.

Anyone else in this space using voice AI agents?

Plenty. 42% of after-hours calls now booked without human input. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

Who owns the code and the model setup?

You do, on delivery. We deploy voice AI agents into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Vapi sits in your account too - we don't operate it from ours.

Ready to talk specifics?

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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.