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 :)

Most of our Singapore engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. AI quoting is then designed against the detail, not the shape.

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

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 AI quoting 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-generated quotes.

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How the work runs

The outcome for Singapore teams

We'd call the engagement a success when Singapore teams are using the system without thinking about us. 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.

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 AI quoting 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.

Are there hidden costs we should plan for?

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

Do you have proof this works for Singapore businesses?

Direct case study: Quote turnaround drops from days to under an hour. Happy to walk you through full numbers on a call.

Who owns the code and the model setup?

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

Ready to talk specifics?

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