The version of AI meeting notes that works for a Changi business is rarely the version a national vendor would sell you. We build the one that fits how your team actually operates - usually with fewer parts than the off-the-shelf pitch.
AI meeting capture, built for businesses operating in Changi.
Our goal is to give Changi businesses a three-day weekend, so people can spend more time with their families and the people they love :)
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.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI meeting notes 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 Changi 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 meeting notes 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 Changi.
- Changi runs on aviation, logistics and air cargo as one of the world's busiest air hubs - AI here means keeping freight, scheduling and compliance moving at airport speed.
- Changi Airport and its surrounding air-cargo and logistics ecosystem move an enormous volume of freight and passengers on tight schedules. Businesses here want AI that handles logistics coordination and compliance documentation without becoming the bottleneck.
We work with teams across Changi: Changi Airport · Changi Business Park · Loyang · Pasir Ris · Tampines.
Talk to us about this →How we build AI meeting notes for a Changi team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Changi business, so value lands before the build is finished. AI meeting capture.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Changi 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 Changi teams
If we build the right slice first, Changi teams feel the difference inside the first month. Saves managers ~5 hours a week on follow-up admin.
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 meeting notes 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 Changi - so the savings start landing before the rest of the build is finished.
Do you do hourly billing or fixed price?
Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.
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. Saves managers ~5 hours a week on follow-up admin.
Will this run on our own infrastructure?
Yes, where it makes sense. AI meeting notes can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Whisper, Claude, Recall.ai, Vercel but the architecture supports your existing platform choices.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
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.