AI Agentic Due Diligence System

Core Logic

Central coordinator managing the entire due diligence lifecycle. Initializes RAG pipeline for document processing, schedules agent execution across 12 phases, manages inter-agent communication, handles HITL request routing, tracks costs and token usage, maintains comprehensive audit trails, and compiles final executive reports.

Core Logic

Processes documents through the RAG pipeline performing intelligent parsing, semantic chunking, and embedding generation. Extracts entities (companies, persons, monetary values, dates, percentages, risk terms), categorizes documents, identifies missing critical files, flags inconsistencies, and maintains the vector index for efficient retrieval by other agents.

Core Logic

Retrieves relevant financial documents via RAG, performs comprehensive financial analysis with multi-step reasoning chains. Evaluates revenue recognition, normalizes EBITDA, analyzes cash flow quality, assesses debt covenants, validates management projections, and generates severity-ranked financial findings with evidence citations.

Core Logic

Analyzes legal documents using RAG-retrieved context. Reviews material contracts for change-of-control provisions, assesses litigation exposure, evaluates IP ownership and protection, examines employment agreements, identifies regulatory non-compliance, and generates legal findings with severity ratings and remediation recommendations.

Core Logic

Evaluates operational aspects through document analysis and reasoning. Assesses manufacturing/service delivery capabilities, supply chain dependencies, technology stack and technical debt, organizational structure and key personnel risks, process maturity, and scalability constraints. Generates operational findings with integration implications.

Core Logic

Performs enterprise risk assessment aggregating inputs from all specialist agents. Categorizes risks by domain, quantifies probability and impact using evidence-based reasoning, identifies deal-breakers, models risk scenarios, recommends mitigation strategies, and provides overall risk-adjusted deal assessment with confidence intervals.

Core Logic

Executes multi-methodology valuation using RAG-retrieved financial data. Performs DCF analysis with assumption validation, identifies comparable companies and transactions, calculates trading and transaction multiples, conducts sensitivity analysis on key drivers, and generates valuation ranges with confidence-weighted conclusions.

Core Logic

Conducts comprehensive ESG analysis using specialized frameworks. Evaluates environmental factors (carbon footprint, sustainability, climate risk), social factors (workforce practices, community impact, supply chain ethics), and governance factors (board structure, executive compensation, compliance culture). Generates ESG scores with materiality assessments.

Core Logic

Combines RAG-retrieved internal data with external market intelligence tools. Analyzes market size and growth, competitive landscape, industry trends and disruption factors, customer and supplier dynamics, and regulatory environment changes. Generates market intelligence reports with strategic implications for the transaction.

Core Logic

Evaluates regulatory landscape across relevant jurisdictions. Assesses antitrust implications and filing requirements, identifies foreign investment restrictions, reviews industry-specific regulations, evaluates required approvals and timeline estimates, and generates compliance roadmaps with risk assessments for regulatory challenges.

Core Logic

Identifies and quantifies synergies using financial models and integration analysis. Maps revenue synergies (cross-selling, market expansion, product bundling) and cost synergies (operational efficiency, procurement, overhead reduction). Models realization timelines, estimates one-time costs, calculates risk-adjusted synergy value, and develops integration milestone roadmaps.

Core Logic

Synthesizes outputs from all agents to develop comprehensive negotiation strategy. Establishes opening position and walk-away thresholds, identifies key negotiation leverage points based on findings, prepares responses to anticipated counterarguments, recommends deal structure optimizations (earnouts, escrows, reps & warranties), and develops fallback positions for various scenarios.