For banks, NBFCs and loan DSAsLive

Pre-qualify every loan enquiry before a loan officer picks up.

KonvoLead answers eligibility, documents, EMI and tenure questions from your verified product rules — on WhatsApp or a call — and hands a ready applicant to your officer.

The first five minutes

Where personal loans leads are lost.

Most enquiries never reach an officer

Applicants ask the same five questions before they commit. If the answer takes hours, they’ve applied elsewhere.

Officers spend the day pre-screening

Salary, employer type, existing EMIs, documents — the qualification conversation is repetitive and your best people are doing it by hand.

Every wrong number is a compliance risk

An agent that improvises an interest rate or a processing fee isn’t a small mistake in lending.

Two ways in

They reach you, or you reach them. Same agent.

Inbound answers whoever contacts your number; Outbound opens conversations with a list you upload. Both qualify, schedule the callback, and hand off to your team.

📥 Inbound

One number on your ads and website

Applicants message or call; the agent answers what they actually asked — “what documents do I need?”, “what EMI for 5 lakh over 3 years?” — from your verified rate card and policy, then collects the basics your officer needs.

  • Eligibility pre-screen: employment type, income band, city, existing obligations
  • Indicative EMI from your published rate band — never an invented rate
  • Document checklist sent in-chat; consent recorded before any callback
📤 Outbound

Work a pre-approved or lapsed list

Upload a base of pre-approved customers or applications that stalled. The agent opens with an approved message, answers objections, and books the officer’s callback — respecting opt-outs and contact hours.

  • Consent-first outreach with opt-out honoured on every channel
  • Callback booked into your officer’s window, with the applicant’s brief attached
  • Stops the moment someone declines — no repeat nudges
Why KonvoLead is different

Every answer is traceable to a fact you approved.

Generic chatbots improvise. In personal loans, a wrong number is a lost deal or a compliance risk — so the agent answers only from facts you verified, with the source on every one, and says it will check when something isn’t on record.

  • Verified knowledge base. Facts are structured and human-approved before the agent can use them.
  • Provenance on every fact. Each answer carries its source — the document, page or website it came from.
  • Accuracy measured, not assumed. Answers are continuously scored against your verified facts.
Rate band (salaried)10.49–13.99% p.a.rate-card-Q3.pdf · p.2
Processing feeUp to 2% + GSTschedule-of-charges.pdf
Max tenure60 monthsproduct-policy.docx · §3
Status● VERIFIED & LIVE TO AGENT
From conversation to callback

Warm leads schedule the callback. Everyone gets a brief.

Captured as they talk

Budget, preference, timeline and intent are recorded during the conversation — never asked twice.

Schedules the callback

Into your team’s window, confirmed in the chat or on the call, with a reminder.

Human handoff with context

The right rep is paged on WhatsApp with the whole lead — who, what they want, and a one-line reason to call. The agent keeps answering routine questions meanwhile.

FAQ

Questions, answered.

Will it quote interest rates or fees?

Only the ones on your verified rate card and schedule of charges, and always as a band or “indicative” figure with the source attached. It never invents a rate, and anything not on record is handed to your officer.

Does it make credit decisions?

No. It pre-screens against the rules you give it (employment type, income band, city) and collects documents and consent; the decision stays with your credit process.

How is consent handled?

Inbound enquiries are user-initiated by definition. For outbound, the audience you upload carries a consent basis, opt-outs are honoured on every channel, and contact hours are enforced.

See it answer your real personal loans questions.

A 20-minute walkthrough on your own material — or try the agent in your browser right now.