Case Study of IIFL FINANCE — GOLD LOANS

Turning Gold-Loan Lifecycle Signals Into Earlier Action.

IIFL Finance partnered with Fundamento to orchestrate AI-led acquisition and collections across the gold-loan lifecycle—from lead qualification and renewal to overdue recovery, NPA intervention and auction resolution.

Written By

Team Fundamento

Published

Building Intelligence Around A Secured Lending Lifecycle

IIFL Finance operates a large gold-loan business where customer progression depends not only on acquisition, but also on timely interest payment, renewal, branch visits and recovery action.

Fundamento’s deployment spans both sides of that lifecycle—helping IIFL engage customers before disbursal and intervene as accounts move through increasingly critical collection stages.

In Gold Lending, Every Stage Of The Lifecycle Can Change The Outcome.

Gold-loan operations combine acquisition, branch-dependent servicing, interest repayment, renewal and increasingly intensive recovery interventions.

The operational challenge was therefore not a single campaign. It was managing the borrower differently as their position in the lifecycle changed.

Stage Operational Reality
Lead Qualification New borrowers need qualification before branch-level progression
Renewal / Top-Up Existing borrowers need timely prompts to continue or increase borrowing
Interest Overdue Delayed payment can push accounts towards deeper delinquency
SMA / Pre-NPA A critical window for intervention before NPA
NPA Recovery requires stronger intervention
Pre-Auction Last opportunity to prevent auction progression
Auction Refund Customer servicing continues even after resolution
Identify the customer's position in the gold-loan lifecycle and act accordingly—before the next operational state becomes harder to reverse.

Signal OS™ Reads The Lifecycle Before It Chooses The Action.

Fundamento uses loan status, DPD position, tenure, overdue status and behavioural signals to determine which intervention is appropriate for the borrower.

Signal What It Revealed
Bucket / DPD Current position in the collections lifecycle
Loan Tenure Proximity to maturity / renewal
Interest Overdue Immediate repayment requirement
Renewal Propensity Potential to continue / re-pledge
PTP / Payment Behaviour Response to previous interventions
Co-Lending Status Separate SMA treatment for the Bank of Baroda portfolio
Branch Dependency Whether physical branch action is required
Architecture Layer Deployment Capability
Customer Signals DPD • overdue status • tenure • co-lending status • payment behaviour
Decision Intelligence Lifecycle-stage prioritisation
Journey Intelligence Acquisition • renewal • collections • pre-auction • refund
Execution Layer AI Voice Agent
Human Intelligence Branch and auction/recovery routing
Customer Signal → Lifecycle Cohort → Risk / Intent Understanding → Journey Selected → AI Voice Action → Payment / Renewal / Branch Action / Resolution

One Gold-Loan Lifecycle. Different Journeys At Every Stage.

Journey Objective
Lead Qualification Identify and progress prospective borrowers
Renewal & Top-Up Re-engage existing borrowers
Payment Reminder Prompt timely payment
Branch-Visit Scheduling Move customers towards required physical action
Lifecycle Objective
Rebate Early cure / incentive-led intervention
Interest Overdue 0–60 Early recovery
Interest Overdue 61–89 Pre-NPA intervention
SMA Dedicated pre-NPA watchlist intervention
NPA Deep recovery
Tenure Expiry Maturity-driven action
Renewal Re-pledge / continuation
Pre-Auction Prevent auction progression
Auction Refund Post-auction customer resolution
Lead → Qualification → Disbursal → Payment → Overdue → SMA / NPA → Renewal / Pre-Auction → Auction / Resolution

One Voice Agent. Multiple Lifecycle Contexts.

Agent / Layer Role
Voice Agent Executes acquisition and collections conversations
Lifecycle Logic Adapts intervention to the customer's bucket
Renewal Logic Drives continuation / re-pledge conversations
Collections Logic Changes treatment as delinquency deepens
Routing Layer Directs branch- and auction-dependent actions
Voice → SignalOS Decisioning → Journey-Specific Conversation → Outcome

AI Starts The Action. Branch Teams Complete What Technology Cannot.

Gold lending has physical operational dependencies that cannot be completed through a voice interaction alone.

Fundamento therefore routes the right situations into IIFL’s physical operating network.

AI Handles Human Teams Handle
Payment reminders Branch visits
Renewal prompts Re-pledge / gold custody
Branch-visit scheduling In-branch completion
Pre-auction engagement Auction / recovery handling
Auction-refund communication Refund processing

Capabilities Are Not Projected. They Are Measured.

Outcome Area After Fundamento
Lifecycle Coverage Acquisition through auction resolution
Collections Coverage Early overdue through NPA / pre-auction
Pre-NPA Intelligence SMA treated as a distinct intervention cohort
Operational Model Voice-led automation with branch routing
Interest Overdue → SMA / Pre-NPA → NPA The value was not simply automating calls. It was changing the intervention according to where the borrower stood in the gold-loan lifecycle.

Every Gold-Loan Conversation Added To A Deeper Understanding Of The Lifecycle.

Intelligence Created What It Enables
Lifecycle Cohorts Different treatment by DPD / loan state
Renewal Signals Earlier identification of continuation opportunities
Pre-NPA Signals Dedicated intervention before NPA
Branch-Visit Intelligence Identifies where physical action is required
Auction-Risk Signals Recognises progression towards pre-auction
Post-Resolution Intelligence Continues servicing after auction through refund journeys
The most valuable intervention window is before the account reaches irreversible recovery stages.