I help Singapore property management firms cut the manual effort out of fault handling, contractor coordination, invoice checking, and resident communication — using systems that go into production, not into a slide deck.
90-minute call. One painful workflow. A clear answer on what's worth automating — before you spend a dollar.
Every day your team is:
Leaks, lifts, lighting, and parking complaints landing on WhatsApp at all hours.
Calling to confirm they're actually showing up — then calling again when they don't.
Manually entering supplier and utility invoices, then hunting down the mismatches.
Site visits typed up from scratch, usually in the evening after the work is done.
AGM and MCST council documents assembled by hand, every cycle.
Every new property means more headcount doing the same low-value chasing.
You don't have a people problem. You have a process problem that's been quietly papered over with overtime.
I deploy AI in a deliberate order. Each stage earns the right to the next.
Before touching a tool, I map what your firm needs to achieve and where time and money leak. Every recommendation is grounded in your commercial reality — not what's technically interesting.
Good automation on a bad process just gives you faster errors. I redesign the workflow from first principles before any technology comes near it.
Only once the process is sound do I bring in GenAI and automation — as an amplifier of a system that already pays for itself.
Not hypotheticals — the same patterns, deployed and measured in comparable field-services operations.
Residents report faults the way they already do (WhatsApp). The system triages, logs, and routes automatically. Contractors get confirmations and chase-ups without a human dialling. Your team is only pulled in on the exceptions. Comparable deployment handled 200+ daily tickets automatically.
See the deploymentAn OCR pipeline extracts, validates, and matches your contractor and utility invoices — catching the errors your team is too busy to spot. In a comparable deployment, it caught a 4% error rate that was slipping through.
See the deploymentYour staff record a voice note on site. It's transcribed and structured into a clean record automatically — no evening write-ups. In a comparable deployment, capture went from 40% to 100%.
See the deploymentReal deployments, real numbers, the full technical breakdown of each system above.
Read all case studiesWhere it matters, processing stays inside your own systems — including on-premise transcription and open-source models — so sensitive data isn't shipped to third-party clouds. PDPA-conscious architecture isn't an afterthought; it's a design constraint.
For over a decade I've built and run the operational and technology backbone of a field-services company — the exact coordinate-the-contractor, chase-the-invoice, log-the-visit world that property management lives in.
12+ years building operations and technology infrastructure for field-services delivery.
Large-scale process re-engineering and IT strategy with C-suite stakeholders.
Advanced Certificate in Data Science & Decision Science. MBA.
I work remotely with Singapore firms, contracting through an established company entity. The work is mine — not handed off to a junior team.
| Step | What happens | Terms |
|---|---|---|
| 1. AI Opportunity Audit | We walk through one painful workflow. I map it live and tell you honestly which parts are worth automating — and which aren't. | Free · 90 min |
| 2. Diagnostic & Roadmap | A written breakdown of where your operation leaks time and money, with quantified automation candidates and a recommended sequence. Done remotely, around your team's schedule. | From S$3,000 · 2–3 weeks |
| 3. Build | We pick one system from the roadmap and ship it into production. Priced against what the manual work actually costs you — so the maths is obvious before you commit. | Fixed scope, fixed price (SGD) |
Tell me which workflow is hurting most. I'll tell you honestly whether I can help — and roughly what it would save you.