Lending & Fintech use case

Outbound Loan Sales Agent AI Agent

Automate outbound loan lead qualification and offer walkthroughs across Voice, WhatsApp, Web chat while improving connect-to-application rate and reducing cost per funded lead.

Example: Outbound Loan Sales Agent that qualifies intent, explains pricing, and schedules RM callbacks with verified data.

Channels: Voice · WhatsApp · Web chat Outcomes: Higher completed applications · Improved lead-to-disbursal conversion · Better agent productivity
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 Web chat Website widget Missed call Inbound number WhatsApp deep link App chat
What it does

Outcomes-first jobs your buyers care about

Qualify lead intent and product fit

How: Runs a short eligibility quiz, validates employment and city, and scores intent.

Outcome: Higher qualified lead rate

Explain offer, rates, and tenure options

How: Uses pricing rules to share APR ranges and example EMIs.

Outcome: Lower drop-offs during pitch

Capture documents and consent

How: Sends secure upload link and eSign consent flow over WhatsApp.

Outcome: Faster KYC readiness

Schedule RM callback or branch visit

How: Books a slot and writes CRM notes with lead summary.

Outcome: Higher show-up rate

End-to-end workflow

Step-by-step flow buyers expect to see

  1. 1

    Trigger: lead assigned

    Lead enters dialer from CRM.

  2. 2

    Qualification

    Intent check + quick eligibility scan.

  3. 3

    Data capture

    Income, employer, and PAN collection.

  4. 4

    Action

    Create opportunity + send doc link.

  5. 5

    Exceptions

    Route low-score leads to nurture.

  6. 6

    Wrap-up

    Disposition + RM follow-up tasks.

Sample conversations

Real scenarios with clear resolution paths

Scenario A: Happy path: pre-qualified lead Voice

Agent: Hi Ankit, this is the loan team. Can I confirm your monthly income and city?

Lead: Sure, 85k in Pune.

Agent: Great. For a 3-year tenure, EMI starts at 9.1%. Want me to send the document link?

Lead: Yes, please.

CRM note: Lead qualified: Pune, 85k income. Interested in 3-year PL. Doc link sent. RM callback scheduled 4:30 PM.
Scenario B: Edge case: missing income proof WhatsApp

Customer: I don't have a salary slip. Can I still apply?

Agent: You can share bank statements for the last 3 months instead.

Customer: Okay, send the link.

CRM note: Income proof alternate accepted: 3-month bank statement. Link shared.
Scenario C: Escalation: rate negotiation Voice

Lead: Another bank offered 8.5%.

Agent: Let me connect you to a relationship manager to review special pricing.

CRM note: Escalated to RM for special pricing request. Competitor rate 8.5%.
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, Dialer, CRM notes, Doc upload

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.