Lending Approvals Data Remediation Agent

The business process

Credit approval and loan-origination analysis for corporate borrowers. The agent removes the manual re-keying and cross-checking of balance-sheet data that slows every approval committee.

What the agent reads

• Company financial statements as multi-format PDFs
• Balance sheet, income statement and explanatory notes
• Internal credit datasets used for the approval file

What it produces

• 31 datapoints per statement, including lease liabilities, corporate debt, names, dates and table values
• A reconciliation report flagging every discrepancy between the statement and internal records

How it works

Fine-tuned LLM and SLM models extract entities and complex objects such as tables and hierarchies. The agent then runs cross-source remediation, comparing extracted values with internal datasets to detect discrepancies and reconcile records automatically, escalating only genuine conflicts to the analyst.

Runs on

• Domain-tuned SLM/LLM/VLM serving
• Human-in-the-loop review
• APIs & MCP connectors