AI for Credit Analysis: Claude Tools for Underwriting and Credit Memos

Credit Analysis and AI

Credit underwriting combines financial ratio analysis, cash flow modeling, and narrative judgment about borrower creditworthiness. Claude is uniquely well-suited for this workflow: it can run structured financial calculations through MCP tools and produce well-reasoned credit narratives — which are the two core deliverables of a credit memo.

Leveraged Loan Underwriting

For leveraged finance transactions, the core underwriting question is: can this borrower service the debt?

• "Underwrite this leveraged loan: EBITDA $45M, proposed debt $270M (6x leverage), all-in rate 8.5%, 5-year term. Calculate DSCR, interest coverage, and debt/EBITDA under base and stress cases (20% EBITDA haircut)."
• "What is the maximum sustainable leverage for a company with $30M EBITDA to maintain 1.25x interest coverage at 7% all-in cost? Show senior secured and total leverage limits."

The valuation and accounting MCP servers return precise coverage ratios, amortization schedules, and covenant headroom calculations.

Financial Covenant Modeling

Loan covenants need to be modeled over the full loan term to assess headroom:

• "The loan has a maximum net leverage covenant of 5.5x stepping down to 5.0x after year 2. Project covenant headroom over 4 years given: current net debt $220M, EBITDA $45M growing at 8% annually, $15M annual debt amortization."
• "Under what EBITDA stress scenario does this borrower breach the 1.20x fixed charge coverage covenant? Current EBITDA: $42M, interest: $18M, capex: $5M, scheduled amortization: $8M."

Credit Memo Drafting

A credit memo requires both quantitative analysis and qualitative narrative. Claude produces both:

• "Draft the executive summary section of a credit memo for a $180M leveraged buyout of a specialty manufacturing business with $30M EBITDA, 80% market share in a niche segment, and cyclical revenue exposure."
• "Write the risk section of a credit memo. Key risks: customer concentration (top 3 customers = 65% revenue), single manufacturing facility, union labor contract expiring next year."
• "Draft covenant monitoring triggers and escalation procedures for a $50M revolving credit facility to a B2B SaaS borrower."

Borrower Financial Statement Analysis

For SEC-registered borrowers, the EDGAR server pulls audited financials directly:

• "Analyze the credit profile of [company] from its last 3 years of 10-K filings: trend in EBITDA margins, cash flow generation, leverage, and liquidity."
• "Calculate Altman Z-score, interest coverage, current ratio, and quick ratio from the balance sheet and income statement: [paste data]."

Rating Agency Methodology

Claude understands credit rating methodologies and can apply them:

• "Apply Moody's leveraged loan rating criteria to this borrower. EBITDA: $35M, debt: $175M, FCF conversion 75%, DSCR 1.4x, cyclical industry. What is the likely rating range?"
• "What financial metrics would this borrower need to achieve to be rated B+ by S&P in the manufacturing sector?"

Setting Up for Credit Analysis

{
  "mcpServers": {
    "claudefinlab-valuation": {
      "url": "https://claudefinancelab.com/valuation/sse",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    },
    "claudefinlab-accounting": {
      "url": "https://claudefinancelab.com/accounting/sse",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    },
    "claudefinlab-edgar": {
      "url": "https://claudefinancelab.com/edgar/sse",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Related Skills

• Leveraged Loan Credit Analysis Engine
• Financial Covenant Monitoring
• Altman Z-Score Bankruptcy Predictor