Chawla Realty is a four-person brokerage in Gurugram — Vikram Chawla and three agents, working resale flats and a handful of new-launch projects. Most of their best leads call right after a site visit, while the impression is still fresh, or late in the evening after someone's had time to think it over with their family. Both of those moments were exactly when nobody at the brokerage was free to pick up.
Illustrative example. Chawla Realty is a composite scenario built to show how AIVA works for this kind of business — not a verified customer account.
The problem
Vikram's phone was the brokerage's single point of contact, and Vikram is very often standing in an apartment showing it to someone else when it rings. A missed call from a serious buyer went to voicemail and, more often than not, stayed there until Vikram noticed it hours later — by which point the buyer had frequently called a competing broker off the same listing portal. Vikram remembers one specific case that stuck with him: a buyer who'd called about a 3BHK during a Saturday showing, left no voicemail, and turned out — Vikram learned weeks later, secondhand — to have closed on a comparable unit with another broker that same weekend. There was no way to know how often that exact scenario had played out before it happened to be a deal big enough that he heard about it afterward.
The other cost was time, not just missed calls: every enquiry, serious or not, took the same amount of Vikram's attention to work out whether it was worth pursuing. Someone idly browsing listings with no budget in mind cost him the same callback as someone ready to make an offer that week. On an average week, Vikram estimates roughly half his callbacks went to people who were, at best, several months from being ready to transact — pleasant conversations, but not what a four-person brokerage's limited hours should be spent on.
Getting it live
Setting AIVA up for Chawla Realty took about a week, most of it spent loading current listing data — price, locality, configuration, availability — for the properties the brokerage was actively marketing, and defining the qualifying questions that would separate a browsing enquiry from a genuine one. Vikram was particular about the qualifying sequence, since getting it wrong in either direction had a real cost: too strict, and a legitimately serious buyer might feel interrogated before reaching a person; too loose, and the whole point of the exercise disappeared.
The one adjustment that came out of the first week wasn't a mistake exactly, more a miscalibration: the initial qualifying threshold routed almost every enquiry straight to Vikram, including several that turned out to be early-stage browsers just testing the waters on pricing. He noticed his direct-call volume hadn't dropped much in the first few days, went back into the setup, and tightened the qualifying questions — adding a specific timeline question that turned out to be the single best filter. After that adjustment, the leads reaching him directly dropped in number but rose sharply in seriousness, which was the entire goal.
Qualify, then route
AIVA Voice now answers Chawla Realty's main line, and a widget on their listing pages catches the buyers who'd rather message than call — handling the basic questions immediately, is the 2BHK still available, what's the price, what's the locality like, and then asking a few qualifying questions: budget range, timeline, financing status — the same handful of fields most sales CRM pipelines are built to track once a lead turns into an actual deal being worked. Only the leads that come back as genuinely ready get routed straight to Vikram, with that context attached, so he's calling back a buyer he already knows is serious. The two channels feed the same qualifying logic, so a buyer who starts by messaging the listing widget on a Tuesday and calls back Thursday with a follow-up question doesn't have to repeat what they already said.
Escalation here works the same way it does everywhere AIVA is deployed: AIVA doesn't try to close the deal itself. It qualifies, books the viewing, and hands off the ones that matter — with the context that would otherwise take the first five minutes of the callback to establish.
A typical call now
A caller asks about a specific 2BHK listed on Chawla Realty's site. AIVA confirms it's still available, gives the price and locality details, and asks whether the caller has a specific budget range in mind and how soon they're looking to move. A caller who answers vaguely — "just exploring for now, no real timeline" — gets their questions answered fully but isn't pushed into a callback; a caller who says they're pre-approved for financing and want to move within six weeks gets flagged and routed straight to Vikram, with the listing, budget, and timeline already noted. By the time Vikram calls back, he already knows what the conversation is actually about, instead of spending the first few minutes establishing it from scratch — which, across a week of calls, adds up to a meaningful amount of time returned to actually showing property instead of qualifying leads over the phone.
The result
Two months after go-live, the shape of Vikram's day had changed more than any single number captures. He still takes plenty of calls, but they're calls he knows are worth taking before he picks up, which is a different kind of tired than fielding a dozen browsing enquiries between showings.
- Missed calls: effectively zero — every call gets answered, day or night
- Qualified leads reaching Vikram directly: up roughly 3x, since AIVA screens out the browsing-only enquiries before they reach him
- Viewings booked: scheduled directly in the same conversation instead of a round of callback tag
- Time spent chasing dead-end leads: down sharply, freed up for the buyers actually ready to move
What Vikram would tell another broker
His first piece of advice is to actually watch the first week of qualified-lead volume closely rather than assuming the default settings are right. "Our first version basically routed everyone to me, which wasn't much better than before," he says. "The fix was adding one specific timeline question and watching what changed. Don't set it up once and walk away — the qualifying questions are the whole product for a brokerage, and they're worth tuning."
His second point is about what almost happened with that one missed 3BHK call. "I don't know for certain that call would have closed," he says, "but I know I never got the chance to find out, and that's the part that actually changed my mind about needing this. It's not really about the volume of calls. It's that I can't tell in advance which missed call was the one that mattered."
"Buyer enquiries land at all hours, especially after a site visit," Vikram says. "AIVA checks budget and timeline and only routes the serious ones to me. I stopped chasing dead leads — and I stopped losing the real ones to whoever called back faster than I could." Brokers and agents can read more on how AI agents handle real estate leads generally, or the differences in how brokers versus individual agents should think about setup. We've also mapped the funnel from missed call to booked appointment and written about how AI-to-human handoff actually works for buyers on the other end of the call. Brokerages can track qualified-lead volume the same way Chawla Realty does through AIVA's analytics, see pricing, or start free to test it against their own listings.