Every enquiry scored on budget, location, configuration and timeline as it arrives, tuned against your own closed-won history rather than a generic model.
The number that moves
Qualified-lead rate · sales hours per closed deal
Industries · Real Estate
Real Estate & Property
Property marketing generates volume very well. What it rarely generates is a way to tell which of four thousand enquiries is worth a call this afternoon — so the team works the top of the list, and everything below it dies of silence.
Thousands of leads a month, three salespeople, and no honest way to rank them. That is a routing problem, not a lead problem.
What this sector loses today
The leak is rarely where the budget goes.
Four patterns that recur here. If two are recognisably yours, the answer is usually smaller than the programme you were being sold.
Campaign volume far exceeds the sales team’s capacity to call.
Media spend converted into a list nobody works. The cost was already incurred.
No consistent qualification on budget, location, timeline or intent.
Senior sales time spent on people who were never going to transact.
Site visits booked by phone tag across days.
The interest window closes before the visit happens.
Channel partner and broker enquiries handled in the same undifferentiated queue.
Your highest-intent source treated identically to a cold form fill.
What changes
How the system behaves, before and after.
These are properties of the architecture, true from the day it goes live. We baseline the numbers underneath them before we build, so the delta is measured against your own starting point rather than against an industry average.
Applications
Where AI actually pays here.
Each is a defined build with a number against it. They can be scoped and bought individually.
Answers on configuration, pricing bands, possession timelines, amenities and location from your approved material, and books the site visit into the diary.
The number that moves
Enquiry-to-site-visit rate · after-hours capture
Calls the long tail your team will never reach, qualifies, and confirms visits the day before so slots are not wasted.
The number that moves
Long-tail contact rate · site-visit no-show rate
Inventory, availability, collateral and lead attribution in one place, so brokers stop calling your sales head for a price list.
The number that moves
Partner-sourced enquiries · time to respond to partners
Fast, structured, honest about specifications, and readable by the AI engines buyers increasingly ask before they ever open a portal.
The number that moves
Cost per qualified lead · share of voice in AI answers
What we would build first
Order matters more than ambition.
Wrong order is the commonest reason AI work here stalls. This is the order we would argue for.
01
Qualification before anything else
It is the cheapest build and it changes what the sales team does on Monday. Live in three to five days.
02
An agent on WhatsApp and the phone
Now that the ranking is real, put an agent in front of the volume so nothing waits for a human to get to it.
03
Fix the surfaces and the partner channel
Microsites and the partner portal, once the demand you already have is being handled properly.
Before your risk function signs
What they are going to ask.
In this sector the review is the schedule. All of it is designed in from the first architecture session.
- Every claim the agent can make about a project drawn from an approved source, never generated
- RERA-relevant disclosures and disclaimers handled as content, with a human owner
- Pricing and availability read live from your system rather than cached into a model
- Full transcripts and audit trail on every conversation and outbound call
- Consent and do-not-contact handling built into outbound from day one
Questions we get in this sector
The ones that decide it.
Will an AI agent quote prices to prospective buyers?
Only what you authorise it to. Most developers have it give an indicative band and route anything firm to a person, because price is a negotiation and a negotiation needs a human. It reads availability and pricing live from your system rather than from a model, so it cannot quote something stale.
How does it know which leads are actually good?
It is tuned against your own closed-won history — what your real buyers looked like at enquiry stage. A generic scoring model would just be an opinion; yours is evidence. Where you do not have clean history, we say so and start with rules until there is enough data to score properly.
Can it work alongside our existing CRM?
Yes. It scores, enriches and routes into whatever you already run — Salesforce, Zoho, HubSpot or something custom. We do not replace a working CRM to add a qualification layer.
Put a number on it
The unworked-list leak, as arithmetic
Four lines, and the blanks are deliberate — they are your numbers, not an average we invented. We fill them in with you on the call.
Leads generated per month____
Leads your team can actually call____
Never contacted at all= ____ − ____
Cost per lead you already paid₹____ each
That last line is media spend you have already committed and will not recover. Qualification does not generate more leads — it stops you buying leads you never work.
Free working prototype
Give us 200 of last month’s leads and we will show you which twelve were worth calling.
Scored against your own closed-won history, not a generic model. You will recognise the names at the top, and that is the point.
48 hours
Your real leads, ranked
48 hours
A project agent answering buyer questions
48 hours
An outbound call to a cold lead
48 hours
Site-visit confirmation the day before
This is the same free prototype that comes out of the 30-minute call and plan. It arrives faster here because the four scenarios above are already scoped.
What does the work
Stop reading about it. Watch it work.
Tell us the one thing that is costing you most, and we build it on your own material within 48 hours. Free, yours to keep, and the fastest way to find out whether any of this applies to you.