
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.





