
Multi-Source Financial Reconciliation
Integrates all borrower data – bank, GST/ITR, financial statements, credit bureau – for a unified credit analysis.
Automate CAM report generation with CredStack. Our AI agents analyse all borrower documents and instantly produce a structured credit appraisal memo, so you can accelerate underwriting with consistent, auditable insights.
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Multi-Source Financial Reconciliation
Integrates all borrower data – bank, GST/ITR, financial statements, credit bureau – for a unified credit analysis.

Policy-Aligned Intelligence
Customisable to your credit policies, so the CAM output and eligibility results align precisely with your rules.

Auditable Decisioning
Every CAM entry is traceable to source documents. The system provides explainable rationale for each flag or approval, satisfying audit requirements.

Rapid CAM Drafting
Automates report generation to cut CAM preparation time by up to ~80%, dramatically speeding up underwriting throughput.

Fraud & Anomaly Detection
Built-in checks detect document tampering and suspicious transaction patterns across accounts.

API-First Integration
Plug-and-play APIs let you embed CAM workflows into your LOS/CORE. CredStack’s platform integrates in days, not months.

Customisable AI Models
LLM-powered pipelines allow rapid creation of custom analysis models, aligning CAM logic to your unique underwriting frameworks.
Manual CAM drafting slows decisions
Underwriters spend hours gathering data and drafting credit memos, delaying approvals and inflating costs.
Inconsistent risk analysis
Disconnected tools and human judgement lead to variability in risk assessment. Key red flags may be missed without a unified framework.
Data silos cause errors
Using separate systems (Excel, portals) for each data source creates a disjointed workflow, increasing data entry mistakes.
Compliance headaches
Handwritten memos are hard to audit. Lack of traceability makes regulatory reviews and due diligence more difficult.
Definition
A Credit Appraisal Memorandum (CAM) is a structured report summarizing a borrower’s financial health and creditworthiness. It is the definitive credit document lenders use for approvals and audits.
Why lenders use it
Automating CAM creation lets AI synthesise all loan application data into this memo instantly. You get consistent, rules-driven analysis and a full audit trail, enabling faster, more defendable lending decisions.
Document Ingestion
Collect all borrower documents (bank statements, financials, GST/ITR filings, KYC, bureau reports, etc.) via secure uploads or API connections.

Data Extraction
AI/LLM models parse and normalise each document, extracting dates, amounts, balances and other fields into structured datasets.

Cross-Document Analysis
Automatically reconcile financial metrics across sources (e.g. match bank deposits to reported revenue). Discrepancies and hidden patterns are detected.

Risk & Policy Check
Evaluate credit risk by identifying triggers (cashflow volatility, hidden debt, etc.) and comparing results against your lending policy to compute eligibility.

Generate CAM Report
Produce a complete Credit Appraisal Memo draft with an executive summary, financial analysis, risk indicators and an approve/decline recommendation. Each finding links back to source data, and AI-suggested mitigants are provided for any issues.

SME & Corporate Lending
Quickly assess business loans by analysing full financial statements and cashflows. Credit teams can instantly generate CAMs from multi-source data.
Personal & Retail Loans
Expedite consumer lending by auto-verifying income, bank inflows and liabilities for fast personal loan decisions.
Housing & Mortgage Loans
Automate mortgage appraisals with integrated income verification and risk scoring, streamlining home loan approvals.
Credit Cards & BNPL
Enable real-time underwriting of cards and BNPL by analysing spending patterns and payment histories to manage short-term credit risk.
Portfolio Risk Monitoring
Continuously monitor existing loan portfolios. Re-run CAMs periodically to detect early warning signs (e.g. sudden cash-flow drops or credit hits).
Architecture Overview
API Integration Notes
Book a guided walkthrough to evaluate the CAM draft, risk signals and API integration in your own credit workflow.
More resources coming soon.