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 AI strategy project is sit with your team for a day before we propose anything.
AI roadmap + plan, built for businesses operating in Singapore.
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 strategy actually does
A clear-eyed AI roadmap built for your business - not a generic deck. We sit with your team, map the high-value plays, and write the build order. You leave with a plan you could actually start tomorrow.
- 01 On-site discovery with the people doing the work
- 02 Ranked initiatives with ROI, effort, and risk
- 03 Tool selection - not married to any vendor
- 04 Phased 90-day plan you can execute or hand off
Built on: Claude Notion Miro Linear
Without Kiwi Dynamics
With Kiwi Dynamics
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 strategy 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 strategy 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 |
What's different about doing this work in Singapore.
- 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 strategy 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 roadmap + plan.
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
The shape of the result for Singapore teams: Most plans pay for themselves in the first build. Built on Claude, hardened with the rest of the stack as it scales.
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
When does AI strategy actually pay back?
Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Singapore - so the savings start landing before the rest of the build is finished.
How do you price AI strategy 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.
Can you walk us through a comparable build?
Yes - on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Most plans pay for themselves in the first build.
Will this run on our own infrastructure?
Yes, where it makes sense. AI strategy can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Notion, Miro, Linear but the architecture supports your existing platform choices.
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.