Restructure modelling: how Loan Modification AI builds revised repayment schedules

A borrower in genuine financial distress who requests a loan restructuring is asking a specific question: what combination of lower EMI, extended tenor, moratorium, or interest rate reduction would allow them to continue servicing this loan? The answer requires a financial model — one that starts with the borrower's current outstanding balance and income position, runs multiple restructuring scenarios, evaluates each against the institution's recovery interest and regulatory constraints, and presents a recommendation. The Loan Modification Agent AI builds this model for every restructuring request, automatically, in minutes, before any credit officer has looked at the file.

What a restructuring actually involves — and why it is more complex than it appears

A loan restructuring is not simply a matter of extending the tenor. It involves recalculating the amortisation schedule from the current outstanding balance — which includes the overdue principal, the overdue interest, and the accrued penal charges — under the new terms, and verifying that the resulting EMI is within the borrower's demonstrated repayment capacity. A restructuring that produces a technically reduced EMI but still exceeds what the borrower can actually pay is a restructuring that will fail at the second or third EMI, leaving the institution worse off than if it had not restructured at all: more time has elapsed, more interest has accrued, and the NPA classification has deepened.

The Loan Modification Agent AI models restructurings with the discipline of an experienced credit analyst: starting from the verified current income (field agent assessment plus bank statement), computing the maximum sustainable EMI using the institution's FOIR policy, building a revised schedule from the current outstanding balance at the new terms, and verifying that the restructured EMI is within the FOIR ceiling. A restructuring that would breach the FOIR ceiling — even at maximum tenor extension — is flagged as not restructurable on the current terms, and the AI instead models whether a partial write-down (interest capitalisation or penal waiver) would bring it within range.

The restructuring input: what the AI reads before modelling

The Loan Modification Agent AI draws on six data sources to build the restructuring model. From the CBS: current outstanding principal, overdue principal, overdue interest, accrued penal charges, original interest rate, remaining tenor, and EMI due date. From the original loan agreement: the interest rate type (fixed or floating), any reset clauses, and the prepayment penalty terms. From the field collections record: the most recent field agent visit outcome and the agent's assessment of the borrower's current income and business or employment status. From the bank statement (last 6 months, pulled via AA or uploaded): the borrower's average monthly credits, their existing EMI obligations, and any recent improvement or deterioration in cash flows. From the provisioning system: the account's current IRACP classification and provision coverage, which determines the institution's regulatory latitude for restructuring. And from the institution's restructuring policy: the maximum tenor extension permitted, the minimum rate floor for restructured loans, and the FOIR cap for modified loans.

Three restructuring scenarios for Kavitha Suresh — D1 Doubtful · LAP ₹84.2L

The revised amortisation schedule: Scenario B (recommended)

The Loan Modification Agent AI generates the complete revised amortisation schedule at the new terms, from the current outstanding balance. The schedule below shows the first 6 months of the restructured loan — illustrating how the lower rate and extended tenor reduce the EMI while allowing each payment to still make meaningful principal reduction: