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.
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 :)
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.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI quoting runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Singapore businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI quoting compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Kiwi Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped 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.
Talk to us about this →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.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Singapore businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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.
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.