When to Use Recovery

• Victim of mis-selling — products or services sold in violation of suitability or disclosure rules.

• Unauthorized transfers or withdrawals — funds moved without your approval.

• Asset diversion — property, inventory, or securities shifted away from rightful ownership.

• Need to escalate with regulators, courts, or senior management for restitution.

How Recovery Works (The Prevention Loop Applied)

1. Ingest – Collects data from all relevant channels: bank statements, WhatsApp chats, emails, KYC files, contracts, transaction logs.

2. Normalize – Formats and structures the data for easy linking and analysis.

3. Link – Matches financial transactions, communications, and policy documents to the same events.

4. Analyze with AI –

• Transaction labeling to map payments to specific products or services.

• Chat & email mining to uncover intent, misrepresentation, or coercion.

• Suitability & compliance checks against contracts, KYC, and regulatory rules.

• Pattern detection to find similar violations across multiple cases.

5. Act –

• Create regulator-ready dossiers with citations to exact messages, documents, and ledger entries.

• Draft CEO escalation letters and recovery demand packs.

• Deploy a negotiation copilot to guide conversations for restitution.

• Offline engagement with regulators, ombudsmen, and legal teams to support the recovery effort end-to-end.

6. Learn – Add recovery playbooks into our Controls-as-Code library to prevent recurrence.

Outputs You Get

• Mis-selling Dossiers — AI-built evidence linking each sale to a violation.

• Recovery Demand Letters — formal, evidence-backed communication to counterparties.

• Escalation Packs — regulator and court-ready.

• Regulatory & Legal Liaison — offline representation and support through formal proceedings.

• Negotiation Support — structured data and scripts to use in direct talks.

Impact of Recovery

• Stronger leverage in disputes.

• Faster settlements with less litigation.

• Higher recovery percentages thanks to structured, undeniable AI-driven proof and expert follow-through.

Examples of Recovery in Action

₹8 Cr Mis-selling Recovery:

• 62 life-insurance policies, 8 years of chats, bank statements, and KYC data analyzed by AI.

• Built evidence pack proving unsuitability and misrepresentation.

• Escalated to CEO and regulator; full amount recovered with offline support through the process.
  [Read the case →]

Procurement Recovery Potential:

• Audited ₹700+ Cr in procurement spend, found ~8% anomalies in sample.

• Enabled targeted supplier recovery and embedded ongoing monitoring.
  [Read the case →]

Why Legal-Grade Matters in Recovery

• Citations to Source: Every recovery claim links to exact messages, transactions, or documents.

• Explainability: Clear, visual case summaries win over decision-makers faster.

• Chain of Custody: Ensures all evidence is admissible in legal and regulatory proceedings.

• End-to-End Support: AI evidence combined with offline advocacy makes cases far more effective.