Generate M&A due diligence PDF reports with LlamaIndex, OpenAI, Pinecone, and S3

Streamline M&A due diligence with AI. This n8n workflow automatically parses financial documents using LlamaIndex, embeds data into Pinecone, and generates comprehensive, AI-driven reports with GPT-5-mini, saving hours of manual review and ensuring consistent, data-backed insights.

Why Use This Workflow?

Time Savings: Reduces manual document review and report generation from days to minutes. Cost Reduction: Minimizes reliance on expensive human analysts for initial data extraction and summary. Error Prevention: AI-driven analysis ensures consistent data extraction, reducing human error and oversight. Scalability: Effortlessly processes multiple documents and deals in parallel, scaling with your business needs.

Ideal For

- Investment Analysts & Private Equity Firms: Quickly evaluate target companies by automating the extraction of key financials, risks, and business models from deal documents. - M&A Advisors: Conduct preliminary due diligence efficiently, generating comprehensive overview reports for clients without extensive manual effort. - Financial Professionals: Accelerate research and analysis of company filings, investor presentations, and market reports for critical decision-making.

How It Works

1. Trigger: A webhook receives multiple due diligence documents (PDFs, DOCX, XLSX) along with associated metadata. 2. Document Processing & Cache Check: Files are split individually. The workflow first checks Pinecone to see if the deal's documents have been processed before (cache hit). If so, it skips parsing and embedding. 3. Data Extraction (LlamaIndex): For new deals, each document is sent to LlamaIndex for advanced parsing, extracting structured text content. 4. Vectorization & Storage: The parsed text is then converted into numerical vector embeddings using OpenAI and stored in Pinecone, our vector database, with relevant metadata. 5. AI-Powered Analysis (Langchain Agent): An n8n Langchain Agent, acting as a "Senior Investment Analyst," leverages GPT-5-mini to query Pinecone multiple times for specific information (e.g., company profile, financials, risks, business model). It synthesizes these findings into a structured JSON output. 6. Report Generation: The structured AI output is transformed into an HTML report, then converted into a professional PDF document. 7. Secure Storage & Delivery: The final PDF due diligence report is uploaded to an S3 bucket, and a public URL is returned via the initial webhook, providing instant access.

Setup Guide