Global Financial Audit & Advisory Organization processing complex multi-national financial filings.
Manual extraction and verification of unstructured PDF financial statements (10-Ks, balance sheets, debt schedules) was consuming over 40 hours per week of senior analyst time. Traditional OCR failed on varied multi-column tabular layouts.
IMPACT: Document processing backlog delayed quarterly audit reporting by 12+ days, introducing operational compliance risks and high human error rates in debt calculation formulas.
Built a persistent LangGraph multi-agent system. Agent 1 inspects document structure; Agent 2 executes targeted table extraction; Agent 3 checks numbers against historical ledger entries; Pydantic guardrails enforce rigid data typing.
When an ambiguous footnote or nested financial table caused LLM parsing errors, the system isolated the specific page, constructed a minimal human-review diff, and paused only that document without halting the overall batch pipeline.