Lending & Fintech use case

Risk Verification Agent AI Agent

Automate risk verification calls and checks across Voice, WhatsApp while improving verification SLA and reducing fraud leakage.

Example: Risk Verification Agent that validates employment and address, captures responses, and flags anomalies for review.

Channels: Voice · WhatsApp Outcomes: Faster verification cycles · Reduced fraud leakage · Improved SLA adherence
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

Verify employment details

How: Runs structured questionnaire with HR or applicant.

Outcome: Higher verification accuracy

Confirm address and residence

How: Collects address proof and geo validation.

Outcome: Reduced fraud risk

Log structured notes

How: Writes verification outcome directly into LOS.

Outcome: Faster underwriting

Flag anomalies

How: Escalates inconsistent responses for manual review.

Outcome: Lower fraud leakage

End-to-end workflow

Step-by-step flow buyers expect to see

  1. 1

    Trigger: verification task

    LOS creates verification case.

  2. 2

    Contact

    Reach employer or reference.

  3. 3

    Data capture

    Employment, tenure, address proof.

  4. 4

    Action

    Update verification status.

  5. 5

    Exceptions

    Mismatch or suspicious signals.

  6. 6

    Wrap-up

    Disposition + next step.

Sample conversations

Real scenarios with clear resolution paths

Scenario A: Happy path: employer confirms Voice

Agent: Can you confirm Rahul is employed since May 2022?

Employer: Yes, that's correct.

Agent: Thank you, noted.

CRM note: Employment verified with HR. Tenure since May 2022.
Scenario B: Edge case: unable to reach Voice

Agent: We could not reach the employer, will retry tomorrow.

CRM note: Employer unreachable. Retry scheduled.
Scenario C: Escalation: mismatch Voice

Employer: We do not have this employee.

Agent: Thanks, I will flag this for review.

CRM note: Employment mismatch flagged. Escalated to risk ops.
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, LOS, Verification checklist, 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.