Impact

Evidence-backed investigation and escalation recovered the full amount for the client.

Scenario

A high-net-worth client discovered that their relationship manager (RM) had mis-sold 62 life-insurance policies over several years, with products unsuitable for their profile. Despite repeated complaints, the financial institution failed to act.

The client engaged Mhymatch to prove the mis-selling, escalate the matter, and recover the losses.

Data Ingested

8 years of records, including:

  • Bank statements covering all relevant accounts and transactions

  • WhatsApp conversations between the RM and the client

  • 62 life-insurance policy documents with terms, premiums, and coverage

  • RM email correspondence and KYC records

Process (The Prevention Loop in Action)

Ingest: Collected and ingested financial, communication, and policy documents from multiple sources.
Normalize: Standardized transaction data and document formats for cross-referencing.
Link: Connected policy purchases to specific RM interactions and financial transactions.
Analyze:

  • Used transaction labeling to identify premium payments and link them to policy issuance dates.

  • Applied chat mining on WhatsApp conversations to extract suitability violations and misrepresentation.

  • Cross-referenced KYC risk profiles with policy types to prove mismatch.

    Act:

  • Compiled a mis-selling dossier with citations from chats, KYC, and policy terms.

  • Generated CEO escalation letters and regulator-ready escalation packs.

  • Activated a negotiation copilot to guide recovery conversations.

    Learn: Built reusable mis-selling detection templates for similar cases.

Output

  • Comprehensive evidence dossier linking each policy to suitability violations.

  • Formal letters to the CEO and escalation packs to the regulator.

  • Recovery demand with precise policy and payment references.

Impact

  • 100% recovery of the ₹8 Cr in premiums paid.

  • Set a precedent for using AI + multi-channel data to prove financial mis-selling.

  • Developed a reusable investigative playbook for BFSI sector fraud.

Suspect financial mis-selling?
Run our 72-Hour Baseline Map to find violations, build evidence, and prepare regulator-ready packs.

Previous
Previous

US$2.5B Corporate Fraud Exoneration

Next
Next

₹30 Cr Property Forgery Prevention