Multimodal AI Document Intelligence System

The Document Intelligence System ingests a heterogeneous mix of business documents PDFs, scanned images, Markdown, PowerPoint decks, JSON schemas and turns each one into a structured, queryable record: an AI generated executive summary, extracted key value data points, named entities, risk flags, and recommended next actions, all backed by a per document confidence score.

The design leans on a hybrid pipeline rather than routing every format through one generic model: format specific parsers (PDF text/layout extraction, OCR for scans and images, native parsing for structured formats) normalize each document into a common representation, a multimodal LLM handles the generative reasoning (summarization, insight extraction, classification), and a separate deterministic layer handles the checks where a false negative is expensive PII detection chief among them.