Central Business District · Applied AI
AI meeting notes in Singapore
For Singapore operators who want a working pilot in weeks, not a year-long programme.
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?'.
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 meeting notes project is sit with your team for a day before we propose anything.
- 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
Why Singapore businesses choose this
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.
Why Singapore businesses are a fit for this.
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.
How we build AI meeting notes 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. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI meeting capture.
The outcome for Singapore teams
If we build the right slice first, Singapore teams feel the difference inside the first month. Saves managers ~5 hours a week on follow-up admin.
Saves managers ~5 hours a week on follow-up admin.
AI meeting notes in Singapore – common questions
What's a typical engagement length for Singapore businesses?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
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.
Anyone else in this space using AI meeting notes?
Plenty. Saves managers ~5 hours a week on follow-up admin. 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.
Can you work with our existing systems?
Yes. The default AI meeting notes stack we reach for is Whisper, Claude, Recall.ai, Vercel, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
Get in touch
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.