Fixed-fee case desk that clears loans fraudsters took out in your name
TL;DR Rightname takes over the paperwork when someone finds a loan on their credit report that they never took. A case manager disputes it with the lender and bureau, files the police and cybercrime complaints, and escalates to the RBI Ombudsman when lenders stall. Victims pay per case, and employers and insurers buy it as a benefit.
Fake loans on stolen PAN details are common enough to make headlines. In February 2022 several people, including a film actor, found small loans in their names from one digital lender, which had accepted doctored documents[1].
One victim's written account shows what follows - three loans he never took, a forged PAN with someone else's photo, a police station that refused an FIR and lenders that ignored him until he went to the RBI Ombudsman[2]. Exhausting, to say the least.
Loans and advances were already the largest complaint category at the Ombudsman offices in 2024-25, at 29.25%, and complaints against credit bureaus rose to 4,585[3]. A wrong entry on a credit report can block a home loan for months.
What it does, in regulatory terms: a complaint-preparation and case-tracking service acting for the consumer. It is not a credit information company and does not alter bureau records. It works only from reports the customer fetches and shares with consent, and the customer files every complaint in their own name. Court matters go to a panel lawyer.
When a customer reports an unknown loan, a case manager collects the bureau reports, lists every unfamiliar account and drafts the dispute letters to each lender and bureau. Next come the police and cybercrime complaints and an affidavit, then the follow-ups, with dates logged. If a lender misses its reply window, the desk prepares the Ombudsman complaint. The customer gets a single timeline showing who owes what and by when. A quarterly check of the customer's credit reports and mobile connections registered to their name catches repeat misuse.
The seed proposed a "digital twin" that remediates identity theft before it happens. No one can stop a lender from accepting a forged PAN, so I've reframed it to sell what a victim actually needs, which is someone to do the chasing.
Victims pay today in time, not money. A fixed fee per case (our estimate: ₹4,000–10,000, to be tested) suits people facing a home-loan rejection. The steadier payers are employers that add it to employee benefits, and general insurers selling personal cyber cover. One US identity-protection service bundles monitoring, fraud resolution and insurance from $10 (about ₹970) a month[4], which shows the bundle can sell.
The DPDP Rules, notified in November 2025, require companies to tell people when their data leaks, with penalties of up to ₹200 Cr for failing to notify[5]. More breach notices mean more people checking their credit reports and finding problems. The Ombudsman's caseload grew 13.55% in 2024-25[3].
There's no public count of fraudulent-loan victims in India. The closest proxies are about 86,700 loan-related complaints (29.25% of 2,96,321) reaching Ombudsman offices in 2024-25 and 4,585 against credit bureaus[3]. Adjacent: 2.21 crore mobile connections were cut after people reported them as "Not My Number" on Sanchar Saathi[6], which shows how often identities are reused.
Credit bureaus offer dispute forms, and lenders run grievance desks, but each handles only its own piece. US identity-protection services pair monitoring with fraud specialists who handle restoration[4]. In India no company turned up selling fraud-loan clean-up as a priced service, though the search was limited. Lawyers handle cases one at a time at professional rates. The gap is a process-driven desk that runs many cases at once against known lender and bureau timelines.
| Difficulty | Moderate (40/100) |
| Starting capital | ₹60 L–1.1 Cr |
| Time to launch | 6–9 months |
The software is simple. The work is operational - case managers who know each lender's grievance route, templates that police stations accept, and the patience to follow up for weeks. Volume per case manager decides whether the fee covers the cost.
No sector licence is needed to prepare complaints for a customer, but the edges of the service are regulated.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't let AI decide what to tell the police, a lender or the Ombudsman without a person reading it. A wrong claim in a complaint the customer signs can hurt their case.
Want to work out the AI layer for Rightname? Talk to Yash →
I think this suits a founder from a bank's grievance team, a collections operation or consumer law who genuinely likes process work. If you want a pure software business then it is a poor fit. Before building anything, run 30 cases by hand and prove that most fraudulent loans close within 60 days.
Plan for roughly ₹60 L–1.1 Cr, most of it for case managers, the case-tracking software and panel lawyer fees.
No sector licence. The customer files every complaint in their own name, court work goes to an enrolled advocate and the DPDP Act covers the data.
Yes, identity fraud is common in most lending markets. The complaint routes and data laws differ, so map your local ones before you price a case.
The free Rightname validation kit has the line-by-line capital breakdown, the effort scoring, the rules checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for victims and benefit buyers, and 5 assumptions to test. Download the kit →
Thinking about building Rightname or something close to it? The make-or-break work is closing cases fast enough that the fixed fee still makes money, and I'm happy to work through those numbers with you. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.