The price an ARC or portfolio buyer offers for a charged-off portfolio is a function of how much they know about it. A buyer who receives a clean, structured, complete data room — with verified account-level data, stratified portfolio statistics, legal status for every account, and security valuation currency — prices the risk correctly and bids aggressively. A buyer who receives an incomplete or poorly structured portfolio tape prices in uncertainty — and that uncertainty premium comes directly out of the institution's recovery yield. The Post Charge-Off Recovery AI builds the data room that removes uncertainty from the buyer's due diligence and maximises the institution's competitive bid outcome.
What buyers need and why most institutions cannot provide it cleanly
An ARC or portfolio buyer conducting due diligence on a charged-off portfolio needs three things: account-level data that is accurate and verifiable, portfolio-level statistics that are honestly stratified, and legal documentation that confirms the institution's right to assign each account. In practice, institutions struggle to provide all three cleanly. Account-level data may be in multiple systems (the CBS for financial data, a separate DMS for loan documents, a legal system for notice and enforcement status) that have never been consolidated. Portfolio statistics may not be stratified by the dimensions buyers use (time since charge-off, product type, security type, last payment date). Legal documentation for individual accounts may be incomplete or unlocated.
The Post Charge-Off Recovery AI consolidates all three from the institution's source systems, identifies every data gap before the data room is shared with buyers, and fills what can be filled programmatically while flagging what requires human resolution — so the data room that buyers see is complete, not a work in progress.
The portfolio tape: account-level data for every account in the sale batch
LA-2022-0884 Mar 2025 ₹66,38,000 Agri equip. hyp. SARFAESI active Nov 2023
LA-2024-4821 Sep 2025 ₹38,24,000 LAP — commercial 13(2) expired May 2024
LA-2022-0841 Jan 2024 ₹1,18,00,000 Residential LAP DRT filed Mar 2022
LA-2023-8814 Aug 2025 ₹12,44,000 Machinery hyp. No legal initiated Jan 2025
LA-2023-1124 Jun 2025 ₹8,18,000 Unsecured No security Dec 2024
The data room structure: what the Recovery AI assembles
Complete account-level file: 22 fields per account, verified against CBS and legal systems
Every account in the batch is represented by 22 data fields: loan account number, borrower name, entity type, product type, original disbursement date and amount, interest rate, charge-off date, book value at charge-off (principal + interest + penal), current book value, DPD at charge-off, last payment date and amount, security type, security value (forced sale), legal status and current stage, CERSAI charge ID where applicable, SARFAESI notice dates, DRT filing reference where applicable, and assigned agency history. No account in the tape has a missing field in any of the 22 required columns.
24 stratification tables covering DPD bands, security type, geography, product, legal status, and vintage
Buyers price portfolios using stratification tables — not account-level detail — in the first stage of due diligence. The Recovery AI generates the standard stratification set: DPD distribution at charge-off, book value by DPD band, security type distribution, loan-to-value ratios for secured accounts, geographic concentration, product type distribution, charge-off vintage (accounts charged off <12 months, 12–24 months, >24 months), last payment vintage, and legal track status distribution. Each table is calculated directly from the verified portfolio tape — the numbers in the stratification exactly match the tape.
For each account: what legal action has been taken, what stage it is at, and what rights are being assigned
The legal status report is the most due-diligence-sensitive section of the data room. For each account: whether a SARFAESI notice has been served (and the notice date), whether the 60-day period has expired, whether a Section 13(4) possession notice has been issued, whether a DRT recovery application has been filed (and the filing reference), whether any court stay or borrower challenge is active, and the current CERSAI charge status. An account with an active court stay requires specific disclosure — the buyer acquires the asset subject to that stay. The Recovery AI checks the legal system for every account's current status before finalising the data room.
Current forced-sale valuations for all secured accounts · 14 accounts flagged for fresh valuation
For each secured account, the data room includes the most recent valuation report: the valuation date, the market value, the forced-sale value, and the valuer's name and empanelment credentials. The Recovery AI checks valuation currency: a valuation older than 6 months from the data room date is flagged. Of 218 secured accounts in this batch, 204 have current valuations. The remaining 14 are flagged with their last valuation date — buyers can price in the uncertainty or the institution can commission fresh valuations before the sale, which the Recovery AI recommends for any account where the valuation is more than 12 months old.
The full contact and payment history shows buyers the borrower's pattern of engagement — not just the current status
A borrower who was making payments until 18 months ago and then stopped is a different recovery prospect from a borrower who has never made a single payment. The collections history section of the data room includes: total contacts made, total PTPs obtained and fulfilment rate, payments received (amount and date), field visits made and outcomes, and agency assignment history. A borrower with a recent partial payment history is a higher-bid account — buyers price engagement history, not just current DPD.
Institution's representations regarding the portfolio — ownership, assignability, and absence of encumbrances
The data room includes the institution's standard representations to the buyer: that the institution has clear title to each account, that no account has been previously assigned or sold, that there are no undisclosed legal proceedings that would affect the buyer's rights, that the assignment does not require borrower consent (confirmed under SARFAESI provisions), and that the institution will provide reasonable post-sale cooperation on legal proceedings. Any exceptions to these representations are explicitly noted — the institution does not represent what it cannot confirm.
The data room is the institution's negotiating position — and its completeness determines the bid
A portfolio buyer who discovers a data gap during due diligence — a missing valuation, a legal status that does not match the tape, an account whose charge-off date is inconsistent with the CBS record — does not walk away. They reduce their bid to compensate for the uncertainty. Every undisclosed gap, every stale valuation, every inconsistency between the tape and the source data, reduces the competitive bid by more than it would cost to fix. The Post Charge-Off Recovery AI builds the data room before the sale, not in response to buyer questions — so every gap is identified and resolved (or explicitly disclosed) before the first bid comes in.