Lending & Fintech use case

Loan Renewal & Top-up Agent AI Agent

Automate renewal and top-up conversion across Voice, WhatsApp while improving renewal acceptance and reducing time-to-offer.

Example: Renewal & Top-up Agent that identifies eligible borrowers, explains offers, and completes consent digitally.

Channels: Voice · WhatsApp Outcomes: Higher renewal acceptance · Faster top-up conversion · Improved portfolio retention
Enterprise security
Prebuilt integrations
Go-live in weeks
Omnichannel
Teams

Sales Ops, Underwriting Ops, Collections Ops, CX

Entry points

Website widget · Missed call · Inbound number · WhatsApp deep link · App chat

Deployment

Secure actions, supervised handoff, and full audit trails.

Who it's for

Built for teams that need speed and control

Sales Ops Underwriting Ops Collections Ops CX Voice WhatsApp Website widget Missed call Inbound number WhatsApp deep link App chat
What it does

Outcomes-first jobs your buyers care about

Identify eligible cohorts

How: Segments LMS data by repayment history and limits.

Outcome: Higher offer relevance

Explain renewal or top-up options

How: Shares rate, tenure, and EMI scenarios.

Outcome: Higher acceptance

Capture consent

How: Launches eSign and OTP confirmation.

Outcome: Faster conversion

Schedule disbursal steps

How: Books a follow-up or collects bank details.

Outcome: Reduced cycle time

End-to-end workflow

Step-by-step flow buyers expect to see

  1. 1

    Trigger: eligibility window

    LMS flags top-up eligible.

  2. 2

    Outreach

    Personalized offer via voice/WhatsApp.

  3. 3

    Offer walkthrough

    Rate, tenure, EMI explained.

  4. 4

    Action

    Consent + doc refresh if needed.

  5. 5

    Exceptions

    Route for special pricing.

  6. 6

    Wrap-up

    Update CRM + next steps.

Sample conversations

Real scenarios with clear resolution paths

Scenario A: Happy path: accepts top-up Voice

Agent: You are eligible for a 1.5L top-up at 10.2%.

Customer: Yes, I want it.

Agent: Sending OTP to confirm.

CRM note: Top-up accepted. OTP consent sent.
Scenario B: Edge case: needs lower EMI WhatsApp

Customer: Can I get a longer tenure?

Agent: Yes, 48 months brings EMI to 4,120.

CRM note: Customer prefers 48-month tenure. Offer updated.
Scenario C: Escalation: pre-closure query Voice

Customer: Are there pre-closure charges?

Agent: I will connect you to a specialist for exact terms.

CRM note: Pre-closure query escalated to specialist.
Integrations

Systems connected with secure actions

Systems of record

LOS/LMS, CRM, KYC, Risk, Collections

Service stack

Zendesk, Freshdesk, Knowledge base

Comms

Dialer/telephony, WhatsApp provider, SMS, Email

Action tools

Document collection, eSign, Payment links, Calendar, LMS, Offer engine, OTP consent, CRM notes

Supported methods: API · Webhooks · RPA fallback Data sync: Read + write
Guardrails & controls

Enterprise readiness built in

Role-based access with OTP or SSO for sensitive actions
PII redaction and masked views for IDs and payment details
Policy-locked response blocks for compliance language
Sentiment and risk thresholds that trigger human takeover
Full transcripts, action logs, and disposition codes
QA sampling, scorecards, and prompt/version control
KPIs & measurement

What you will improve

Connect rate

Percent of leads reached within SLA.

Application completion

Share of leads that finish the application.

KYC TAT

Time from doc request to verification.

Disbursal TAT

Time from approval to disbursal.

PTP kept rate

Promise-to-pay commitments honored.

Early DPD leakage

Delinquency within 1-30 days.

AHT

Average handling time per interaction.

CSAT/NPS

Customer satisfaction scores post-interaction.

Configuration

Flexible to your policies, tone, and tools

Intents and flows
Tone and brand voice
Knowledge sources (FAQs, SOPs, policy docs)
Eligibility and routing rules
Dispositions and tags
Languages and accents (voice)
Business hours, SLAs, and fallback policies
Implementation plan

A phased rollout with clear deliverables

Week 0

Discovery + call listening

  • Workflow map and intent list
  • SOP alignment and compliance notes
  • Success metrics and QA plan
Phase 1

Pilot on 1 channel + 1 workflow

  • Agent prompts and guardrails
  • Test cases and failover scripts
  • Live dashboard with baseline KPIs
Phase 2

Expand intents + integrate systems

  • System actions and data sync
  • Multi-channel coverage
  • Supervisor playbooks
Phase 3

Optimize + scale

  • Continuous QA coaching
  • A/B tested prompts and flows
  • Governance and reporting
FAQs

Buyer objections, answered

How do you handle exceptions?

The agent routes exceptions to a human with full context, suggested next steps, and a clear disposition.

What happens when the agent is unsure?

It asks clarifying questions, consults the approved knowledge base, or escalates based on confidence thresholds.

Can we restrict what it can say or do?

Yes. Guardrails lock sensitive responses and require approvals for authenticated actions.

How are transcripts stored?

Transcripts and action logs are stored with retention controls and audit access.

How does handoff work with our CRM or ticketing?

The agent writes structured notes, tags, and next steps directly into your system of record.

What languages and accents are supported for voice?

Major Indian and global languages with configurable voice and accent options.

See this agent live on your workflow

See the agent live with your data, policies, and channels.

Deploy an AI-supervised agent for your highest-volume workflow.

We consult, design, build, and manage the agent end-to-end.