AI Agents
Autonomous Agents — LangGraph Due Diligence
A LangGraph agent fleet that turns a consulting mandate into a sourced due-diligence brief — planner, specialists, cross-checks, then synthesis.
Problem
Due diligence burns days pulling filings, news, financials, and prospect lists by hand. Insights arrive late, and the work does not scale.
How it works
- 01Mandate planner
- 02Specialist agents
- 03Source retrieval
- 04Cross-verification
- 05Sourced synthesis
- Decompose a consulting mandate into bounded research tasks with a planner.
- Fan out specialist agents across filings, news, market data, and prospect qualification.
- Cross-verify findings before a synthesis agent produces a sourced brief.
Evidence contract
The brief is structured as findings, linked sources, and a qualification score.
- 01Finding and confidence
- 02Primary and secondary sources
- 03Qualification score and rationale
Outcome
- Every synthesized claim carries sources and a verification state, so the brief stays reviewable.
Stack
- Python
- LangGraph
- LangChain
- LLMs
- RAG
- Vector Search