AI-Enabled M&A Deal Automation Platform
Objective
Build an automated workflow that converts public M&A filings into review-ready merger models.
Business Problem
Investment banking analysts spend substantial time reading filings, extracting transaction terms and manually populating merger models.
This project automates first-pass mechanical work while preserving analyst judgement and review.
Validation Scope
Validated across:
- 7 public M&A transactions
- 5 completed transactions
- 1 terminated transaction
- 1 blocked transaction
Workflow
SEC Filing → Document Classification → Transaction Extraction → JSON Output → Validation Checks → Excel Model Population → Analyst Review
Technology Stack
- Python
- Claude API
- Microsoft Copilot
- Excel
- openpyxl
- JSON
- SEC EDGAR
Current Status
Version 1 complete.