USE CASE
Most sales teams spend half their day calling people who were never going to buy. Wrong budget, wrong city, filled the form by mistake. Our AI agent calls every new lead within minutes, asks your qualifying questions in a normal conversation, scores the answers against your rules and sends only the good ones to your team, with notes.
AT A GLANCE
USE CASES
Budget, timeline, location, need and decision-maker, asked conversationally within minutes of the enquiry.
Each lead is marked hot, warm or not a fit against the rules you set, with the reason written down.
Hot leads get a booked call-back with your team, so your closer starts with the facts, not with 'what were you looking for?'
People who are six months away are tagged and called again when they said, instead of being forgotten.
Wrong numbers, duplicates, students and people who never filled the form are marked so your ad reports get cleaner.
FEATURES THAT MATTER HERE
You decide what makes a lead worth your team's time. We turn that into questions that sound natural and rules that score the answers.
No interrogation. The agent answers the customer's questions first and works its own in, the way your best telecaller does.
Every lead gets an outcome and a one-line reason: 'Budget ₹60–70 lakh, buying in 3 months, wants a site visit Sunday'.
Answers go into the fields you already use in Google Sheets, your CRM or via webhook, so nobody retypes notes.
Junk and not-a-fit rates by campaign and form show which ads bring buyers and which bring noise.
HOW SCORING WORKS
Whatever makes it qualified for you. A home-loan agent cares about income and city. A clinic cares about the treatment and whether the patient can visit this week. A B2B software company cares about team size and who signs off.
Many teams start from BANT (budget, authority, need, timeline) and adjust it. We usually end up with three to five questions and a simple rule for each: what counts as a yes, what counts as a no, and what means "call again later". If you want to work through this yourself first, our guide to BANT lead qualification for Indian sales calls has a question set in English and Hindi.
WHY ON THE PHONE
Every extra question on a lead form costs you leads. People skip it, or pick any option to get to the submit button, which is how you end up with a "₹1 crore+ budget" from a college student.
On a call, people answer honestly because the question comes up naturally, and the agent can ask a follow-up when an answer is vague. Keep the form short, let the call do the qualifying. For why ad forms fill with junk in the first place, see junk leads from Facebook ads.
SAMPLE CALL
Illustrative call written for this page; business and customer names are made up.
PRICING
A one-time setup builds your agents on your scripts and FAQs. After that you pay per minute, inbound or outbound, billed in 30-second pulses — a typical two-minute call costs about ₹12–16.
COMMON QUESTIONS
An AI agent calls each new lead, asks the questions your team would ask to judge whether the lead is worth pursuing, and records and scores the answers. Your team then spends its time on the leads most likely to buy.
No. It does the first call and the sorting. Your team does the selling, with better information and fewer wasted calls.
The agent books a call-back time and the lead lands in your sheet or CRM marked hot, with the answers and the recording, so your closer calls back prepared. Managers can also listen to live calls and take over.
The agent doesn't push. It notes what it learned, marks the lead for a human follow-up and moves on.
A one-time setup (from ₹25,000) builds and tests your agent. After that you pay per minute of conversation: ₹8 a minute on Starter (3,000-minute monthly bundle), down to ₹6.50 a minute on the larger plans, billed in 30-second pulses. Calls nobody answers are not billed. Prices are plus 18% GST.
We dial your phone with an AI agent prompted for your specific workflow. You score it against your top human caller. No SDR loop.
Book the demo →Get a free AI call in Hindi, Kannada or English — from the same voice your customers would hear.
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