How I Automated 51 Financial Ratios with AI

When I started building the Financial Ratio Analysis Toolkit, I had one goal: eliminate the hours CAs spend manually calculating ratios from financial statements.

The Manual Process

A typical ratio analysis involves extracting data from balance sheets and P&L statements, computing 51+ ratios across profitability, liquidity, solvency, efficiency, and market categories. Then scoring them, detecting fraud indicators, and creating a presentable report.

This used to take 3-4 hours per company. Now it takes minutes.

The Architecture

I used AI to parse financial statement data, compute ratios with proper formulas aligned to Indian Accounting Standards, and generate narrative insights. The tricky part was handling edge cases — negative equity, zero denominators, and industry-specific benchmarks.

Results

The toolkit now handles Altman Z-Score, Beneish M-Score (fraud detection), and 49 other ratios. It's been used by 500+ CAs and counting.

Building this taught me that the best AI products don't replace human judgment — they eliminate the tedious work so professionals can focus on what matters.