{
"agentName": "Claim Verification and Validation Agent (CVVA)", "agentDescription": "Automates the preliminary verification and validation of claims submitted by financial, operational, and other creditors against the corporate debtor's records. Checks documentation for completeness and basic compliance, flags discrepancies, and assists the Insolvency Professional (IP)/RP/Liquidator team in determining the admissibility of claims according to IBC requirements.", "version": "1.0", "status": "Conceptual", "goals": [ "Automate the ingestion and digitization of submitted claim forms (e.g., Forms B, C, D, E, F under IBC) and supporting documents.", "Perform initial checks for completeness of submitted forms and required documentation.", "Extract key claim details (Claimant Name, Amount, Debt Basis, Dates, Security Interest details).", "Cross-reference submitted claim details against the corporate debtor's books of accounts (ledgers, loan schedules, payable lists).", "Identify discrepancies between submitted claims and debtor records (amount differences, non-matching identifiers).", "Perform basic validation checks on supporting evidence (e.g., check if mentioned invoice numbers exist, date consistency).", "Flag claims requiring further manual review due to inconsistencies, missing information, or complex security structures.", "Assign a preliminary verification status (e.g., Matched, Mismatched, Incomplete, Requires Review).", "Streamline the claim verification workflow for the IP/RP/Liquidator team." ], "keyCapabilities": [ "Document Intake & OCR: Processes various formats (PDF, image files, spreadsheets) and uses OCR to extract text from scanned documents.", "Data Extraction (NLP/Parsing): Identifies and extracts structured data points from claim forms and common supporting documents (invoices, contracts).", "Data Matching Engine: Compares extracted claim data against debtor's financial records using defined rules and potentially fuzzy matching.", "Completeness Checker: Validates if mandatory fields on claim forms are filled and if expected supporting documents are present.", "Discrepancy Highlighting: Flags specific differences found between claim and debtor records.", "Rule-Based Validation: Applies predefined rules to check basic plausibility (e.g., dates are logical, amounts are positive).", "Classification Suggestion: Can suggest preliminary classification (e.g., FC/OC, Secured/Unsecured) based on form type and evidence (subject to confirmation).", "Workflow Integration: Flags claims for different review paths based on verification outcomes.", "Query Generation Support: Can assist in drafting standard queries for claimants regarding identified issues.", "Reporting: Generates verification summaries and discrepancy reports." ], "targetUsers": [ "Insolvency Professionals (IPs) / Resolution Professionals (RPs)", "Liquidators", "Claims Verification Teams working for IP/RP/Liquidator", "Claimants (Indirectly - by submitting claims to the system, receiving queries)" ], "inputDataRequirements": [ "Submitted Claim Forms (scanned or digital).", "Supporting Evidence Documents provided by Claimants (invoices, contracts, bank statements, security documents, etc.).", "Corporate Debtor's Books of Account (Ledgers, trial balance, accounts payable/receivable lists, loan registers).", "Corporate Debtor's Contracts and Agreements.", "Defined Verification Rules and Criteria.", "Access credentials/connections to debtor's financial systems or data extracts." ], "outputFormats": [ "Preliminary Claim Verification Report (Per claim or batch).", "List of Claims with Status (Matched, Mismatched, Incomplete, etc.).", "Discrepancy Report detailing differences found.", "List of generated Queries for Claimants.", "Extracted & Structured Claim Data (JSON, CSV).", "Audit trail of automated verification steps." ], "potentialBenefits": [ "Drastically reduces manual effort and time spent on preliminary claim verification.", "Improves consistency in applying verification rules across large numbers of claims.", "Speeds up the overall claims collation and admission process.", "Helps the IP/RP team focus manual efforts on complex or disputed claims.", "Reduces errors in data entry and comparison.", "Provides a clear, automated audit trail for basic verification steps." ], "requiredTools": [ { "toolCategory": "Document Processing & Data Extraction", "tools": [ "Optical Character Recognition (OCR) Engines (Tesseract, AWS Textract, Google Vision AI, Abbyy FineReader Engine)", "PDF Processing Libraries (PyMuPDF/Fitz, PDFMiner.six)", "Spreadsheet Processing Libraries (Pandas, openpyxl)", "Natural Language Processing (NLP) Libraries (spaCy, NLTK - for identifying entities like amounts, dates, parties)" ] }, { "toolCategory": "Data Processing & Comparison", "tools": [ "Data Manipulation Libraries (Pandas - essential)", "Fuzzy Matching Libraries (FuzzyWuzzy, RapidFuzz)", "Rule Engines (Custom logic, or libraries like PyKnow, Drools)" ] }, { "toolCategory": "Data Storage", "tools": [ "Relational Databases (PostgreSQL, MySQL - for storing extracted data, verification status, rules)", "Document Storage (Cloud Storage - S3/Blob/GCS, or local filesystem - for storing submitted forms/evidence)" ] }, { "toolCategory": "Integration", "tools": [ "Database Connectors (SQL, ODBC)", "APIs (if connecting to accounting systems or online claim submission portals)" ] }, { "toolCategory": "Workflow & User Interface (for IP/RP team interaction)", "tools": [ "Web Frameworks (Flask, Django, React, Angular)", "Workflow Engines (Optional - Camunda, Prefect, Airflow)" ] }, { "toolCategory": "Reporting", "tools": [ "PDF Generation Libraries (ReportLab, FPDF)", "Spreadsheet Writing Libraries (openpyxl)" ] } ]
}