Muthoot Finance lifts branch-visit conversion 150% with Blue MachinesRead more

Lending AI. From first enquiry to review-ready application.

Neobanks, digital lending, BNPL, wealth apps, insurtech and payment platforms. Thin-file customers, small-ticket high-volume books, and portfolios where a day of delay changes the recovery curve.

Explore the workflow ↓

From an equipment enquiry to a prepared application

A conversation becomes a recorded action across your systems, with context carried through every handoff.

Illustrative journey · Studio process view

From an equipment enquiry to a prepared application

Sarah · Austin · voice conversation

“I need equipment for my shop. What documents should I bring?”

Voice / WhatsAppDocument OCRLMSUnderwriting desk

Business goal

Move complete applications to the underwriting team

  1. 01Enquiry
  2. 02Documents received
  3. 03Fields extracted
  4. 04Staff review
  5. 05Application ready
Exception path

Missing or mismatched document → request clarification

Evidence in Studio

Document checklist, extracted fields and review history

Next action

Create a review task with source documents attached.

Agents in this journey

Carry the enquiry across voice, chat and a requested message follow-up.

Explore Agents

Identity checks, eligibility, valuation and lending decisions remain with authorized staff. Product scope and integrations are configured for each engagement.

Published customer story

Aditya Birla Capital · India

Voice AI across financial services

A six-week rollout connecting customer outreach and servicing across mutual funds, health insurance and housing finance.

Published May 15, 2026

Read case study →

Application readiness

An illustrative implementation: connect the source records, define permitted actions, and make the next step visible to the team.

  1. 01

    Enquiry

    Capture the purpose, preferred language and requested follow-up from the first conversation.

  2. 02

    Documents received

    Request the relevant checklist. Keep uploaded documents attached to the application.

  3. 03

    Fields extracted

    Extract document fields with their source references so staff can inspect mismatches.

  4. 04

    Staff review

    Route missing or inconsistent information back for clarification before underwriting.

  5. 05

    Application ready

    Prepare the application and review history for an authorized lending decision.

Build around the work your team already does.

Growth

Drop-off recovery mid-applicationLimit & top-up offersFirst-transaction activationReferral & win-back

Risk & recovery

Pre-due & D+1 remindersSmall-ticket bucket collectionsSettlement & restructuring offersMandate & autopay failuresFraud & dispute verification

Make the handoff as clear as the action.

Identity checks, eligibility, valuation and lending decisions remain with authorized staff.

Connect the systems of record

Voice / WhatsApp · Document OCR · LMS · Underwriting desk

Measure the process

Application completeness · Clarification cycles · Time to staff review

Agree a baseline, review exceptions, and approve workflow changes before rollout.

Set the deployment boundary

Agree model access, retention and action permissions for the workflow. Hosted, private-cloud and on-premises options are scoped to your requirements.

See AI at work in lending & neo-bfsi.

Illustrative use caseKreditBeeIND · Digital lending

High-volume collections for a digital lender

An illustrative lending workflow connects approved reminder scripts, payment-link delivery and CRM dispositions. Disputes, exceptions and payment confirmation are handled through the lender’s agreed process.

Whole-book coverageUPI payment linksPolicy-bounded offers
Designing the lending workflow
ELASTICMonth-end peaks absorb without hiring cycles
CONTROLLEDConfigure approved scripts, contact limits and review records for the applicable operating policy
MEASURABLEAgree outcome definitions and a comparison method before rollout
IMPROVINGReview conversation evidence and approve changes before rollout
How self-improving agents work →

Bring us one process. We’ll run it.

Start with a lending & neo-bfsi workflow, your source systems and a clear outcome.