Financial Copilot

Multi-Agent Analysis with Supreme Court Verification

Demo mode: This showcase uses public SEC filing data (Apple, Microsoft, Tesla) to demonstrate the financial copilot architecture. The production system operates on proprietary financial data within a hardened private infrastructure — see the Case Study for security details.

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Financial Copilot

Case Study

Industry

Enterprise Finance / Financial Analysis Automation

Context

Built for a client's finance team that needed to query financial data using natural language instead of writing SQL or navigating spreadsheets. The production system handles proprietary financial data — this demo uses public SEC filings to showcase the architecture.

The Challenge

Finance teams rely on analysts to pull data, create reports, and verify calculations. LLMs can automate this, but financial data demands absolute accuracy — a hallucinated number in a board report is catastrophic. Standard chatbot architectures don't provide the verification guarantees finance requires.

Pain Points

✖Analysts spent hours pulling data across multiple systems for recurring reports

✖No natural language interface — every query required SQL or Excel expertise

✖LLM hallucination risk made existing AI tools unsuitable for financial data

✖Historical documents (10-K filings, memos, policies) were unsearchable