Vaman for NBFCs

AI agents for NBFC lending, on a model you own.

Vaman builds small language models trained on your loan data — collections, EMI, acquisition, onboarding, and policy — and runs them inside your cloud. Every action goes on the record.

Book an NBFC readiness assessment
The NBFC reality

Four problems. One platform.

These aren't technology problems. They're the operational patterns that limit every NBFC at scale.

Systems that don't talk

Your CRM has lead data. Your LOS has application status. Your LMS has payment history. Three systems, three teams, no shared view of a borrower's journey.

Borrowers who can't be reached

The borrower registered a number that's changed. The email bounces. The WhatsApp is on a different device. By the time a person tries a third channel, the borrower has moved on.

Single-channel collections

Call-only or SMS-only strategies lose borrowers who don't answer that channel. Without channel intelligence, contact rates stay low regardless of how many calls are made.

No end-to-end view

Nobody sees one borrower's path from application to disbursement to repayment. The collections team has no acquisition context. The servicing team has no collections history.

One agent team

Governed agents across the lending journey.

Each agent has one job, reads your systems, acts within limits you set, and writes the outcome back.

Acquisition
Onboarding & KYC
Servicing & EMI
Collections

Qualification Agent

Responds to new leads from web, WhatsApp and referral channels, asks your eligibility questions, scores each lead and routes qualified ones to a relationship manager.

Outbound Engagement Agent

Follows up with prospects by call and WhatsApp, answers questions from your approved content, and books callbacks with your team.

↳ Human checkpoint: A relationship manager takes every qualified lead.

Application & KYC Agent

Guides applicants through the application, chases missing documents on WhatsApp, and submits complete files to your LOS.

↳ Human checkpoint: Your credit team makes every credit decision. The agent never does.

Onboarding Agent

Sends disbursement confirmations, welcome messages and the EMI schedule, so borrowers know what to expect from day one.

EMI Reminder Agent

Reminds borrowers before each due date by voice, WhatsApp or SMS, shares your payment link, and confirms once your LMS records the payment.

↳ Human checkpoint: Disputes and hardship requests go straight to a person.

Delinquency Prevention Agent

Spots accounts likely to slip to the next bucket and engages them early with options you have approved.

Collections Agent

Contacts overdue borrowers within permitted hours, offers repayment options from your policy, and logs every promise to pay.

Field Collections Copilot

Gives field officers each borrower's history, the next best action and a visit plan, and records the outcome.

↳ Human checkpoint: Settlements, restructuring and sensitive cases need human approval.
Conduct built in

Approved conduct policies, enforced in every call and message.

Calling hoursNo recovery calls before 8 am or after 7 pm. Vaman blocks out-of-hours contact automatically.
Respectful conductNo threats, no misleading statements, no discussing the debt with family or friends. Scripts and messages are checked against your conduct policy before they go out; calls are recorded and reviewable.
Data in IndiaBorrower data stays on servers in India, under your control.
Your oversightYou, your auditors and RBI get full audit and inspection access to every agent action and every model decision.
ConsentOutreach only where consent and purpose allow; borrower requests to see or delete their data are supported.
Board-ready governanceModel cards, a complete audit trail and a governance pack aligned with RBI's FREE-AI recommendations.

Vaman provides controls and evidence that help you meet your obligations. Your NBFC remains responsible for compliance.

Your model

A model trained on your portfolio, not everyone's.

Your Vaman model learns from your outcomes, your borrowers' languages, your products and your scripts. Before you commit, we benchmark it against frontier models on your own data for accuracy, cost and speed. The weights are yours.

Request a benchmark on your data →
What we measureVaman modelFrontier
Intent & response understandingMeasured on your dataMeasured on your data
Correct repayment option offeredMeasured on your dataMeasured on your data
Cost per 1,000 conversationsMeasured on your dataMeasured on your data
Response speedMeasured on your dataMeasured on your data
Vaman — reads & writes back
↑ read↓ write back↑ read
CRM
LOS
LMS
Contact centre
Collections
Channels
Built & tested with
LeadSquaredSalesforcePennantNewgenFinnOneFinastraOzonetelWhatsApp Business APISMS gatewayPayment gateway
Integrations

Replaces nothing. Connects to what you already run.

Vaman reads your CRM, LOS, LMS, contact centre and collections systems, acts on borrowers, and writes every outcome back. Your systems stay the record. We don't replace anything — we add a governed intelligence layer on top.

Deployment

Your cloud, in India, under your audit.

Run Vaman in your own cloud account in an India region or on your premises. Your contract includes audit and inspection rights, an exit plan and platform code escrow.

Visit the Trust centre →
Path to production

Live on one use case within a quarter.

No lengthy RFP cycles. No 18-month implementations. We start with one use case, prove measurable impact, then expand.

1

Readiness assessment

Three weeks · priority use cases, data readiness, conduct gap map, pilot plan.

2

Pilot on base models

Run on Vaman base models — fast to live, real results from week one.

3

Your trained model

Your own model in production, trained on your portfolio data.

4

More lending stages

Expand across collections, servicing, acquisition — same platform.

What we measure

Your first 90 days, measured.

No synthetic benchmarks. Measured on your portfolio, in your environment, from day one of the pilot.

Collections

  • —Contact rate by DPD bucket
  • —Promise-to-pay kept rate
  • —Roll-rate between DPD buckets
  • —Complaints per 10,000 contacts

Servicing

  • —On-time EMI rate
  • —Payment confirmation time
  • —Servicing queries resolved without escalation

Acquisition

  • —Lead response time
  • —Lead-to-application rate
  • —Application completion rate
Questions

Answers for your risk committee.

Does the AI make credit or settlement decisions?

No. Agents gather information, remind and engage. People decide. Settlement offers require pre-approval from your credit and collections policy team. The agent selects from that approved menu — it does not negotiate outside those bounds.

Where does borrower data live?

In your cloud account in an India region, or on your premises. It is never used to train another client's model. Your data is yours, and the contract says so.

Who owns the model?

You do, including the weights. When you leave, the model and its training artefacts leave with you. The exit plan and platform code escrow are in every contract.

Can we stop it instantly?

Yes. There is a kill switch per agent, per campaign and for everything — available to your operations team at any time, without needing to call us.

How do you handle calling hours and conduct rules?

They are enforced by the platform before any call or message goes out, and every action is logged for review. A call scheduled for 7:40 pm is held and rescheduled to 8:00 am — automatically.

What if we stop working with Vaman?

Your model and data stay with you. The exit plan and platform escrow are in the contract. We help you run the model on your own infrastructure if you choose to.

Start with three weeks.

The NBFC readiness assessment gives you priority use cases, a data-readiness view, a conduct and DPDP gap map, and a pilot plan.

Book an NBFC readiness assessment