AI agents for Singapore property agents and agencies

The shape of the problem

A working agent's day is structurally hostile to enquiries. Leads arrive from portal listings, WhatsApp, and referrals at all hours — and the moments they arrive are precisely the moments you can't answer: mid-viewing, mid-negotiation, mid-drive. By the time you surface, the "still available?" from 2pm has gone quiet, and the Sunday-night enquiry found someone else by Monday. The cruel part is that most of those first exchanges need no expertise at all: availability, size, floor, asking price, lease terms, "can view this weekend?" — facts you've already written down, asked for the hundredth time.

What a listing front desk does

An Olano front-desk agent sits on your enquiry channels and works each thread the way a good assistant would:

• Answers from your listing sheets — size, floor, tenure, availability, fees, viewing arrangements — grounded in documents you provide, so it states your facts rather than guessing. Anything not documented escalates to you.
• Qualifies consistently — own-stay or investment, budget range, timeline, current situation — the standard questions asked politely every single time, even at 11pm.
• Books viewings — proposes slots from your Google Calendar, pencils them in for your confirmation, and handles the reminder and the inevitable reschedule.
• Keeps the CRM honest — every enquiry captured with its qualification details into HubSpot, Salesforce, or a Google Sheet, so the pipeline survives a viewing-heavy weekend.
• Revives quiet leads — drafts the "still looking?" nudge for threads that went silent, queued for your approval before anything is sent.

Qualification without the awkwardness

Most agents under-qualify on the first exchange because the questions feel pushy at 10pm — and then drive across the island for a viewing that was never going to happen. The agent doesn't have that hesitation. It asks the standard questions in the natural flow of answering, in any of 12 supported languages, and hands you a tidy summary before you commit a Saturday morning: who they are, what they're looking for, budget band, timeline, which unit, proposed slot. You make the call with the context in front of you.

Compliance-aware by design

Property is an industry with advertising rules and — like all outbound marketing to Singapore numbers — Do Not Call obligations. The approval-first model is built for exactly this: inbound answers flow from your documented listing facts; outbound messages are drafted and wait in the approval queue by default; and the immutable audit trail records what was sent, to whom, and who approved it — an answer you can produce if a question is ever asked. Trust levels 0–4 let you widen autonomy for routine replies while keeping follow-ups and anything sensitive gated. The broader data-protection picture is in our PDPA guide for Singapore SMEs.

For teams and agencies

A solo agent runs this as a personal front desk. A team runs it as shared infrastructure: one agent triaging the team line, routing qualified leads to the right person by district or listing, keeping the shared CRM current, and giving the principal a weekly picture of enquiry volume and response times. Each agency runs in its own private, isolated workspace — your leads and your listing data are yours alone, encrypted at rest and in transit.

Where to start

Start with the workflow that bleeds the most: usually missed-lead recovery — the after-hours and mid-viewing enquiries you already paid the portals to generate. A single-workflow deployment is typically live within 1–2 business days of onboarding, quoted as a fixed proposal before we build. Judge the response quality yourself first: message our live demo agent on WhatsApp or Telegram, then book a private consultation.