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Accelerating M&A due diligence with Amazon Bedrock AgentCore

Machine Learning Blog



This article demonstrates how to build a multi-agent M&A due diligence system using Amazon Bedrock AgentCore to automate target screening, financial analysis, strategic fit assessment, and compliance validation.

  • AI agents autonomously gather data from financial databases, knowledge bases, and market APIs to accelerate due diligence cycles from weeks to hours
  • Supervisor agent orchestrates four specialist agents: Target Screening, Financial Analysis, Strategic Fit, and Compliance Validation
  • Architecture integrates Amazon Aurora PostgreSQL, Bedrock Knowledge Bases, AgentCore Gateway, memory layers, and automated evaluators for auditability
  • Citation-check evaluator validates every factual claim with source citations and produces audit trails for compliance teams
  • Complete reference implementation available with synthetic data, one-command deployment, and Jupyter notebook walkthrough
  • Security includes scoped IAM permissions, Cedar policy engine, VPC isolation, KMS encryption, and Bedrock Guardrails

The solution enables M&A teams to conduct thorough due diligence faster while maintaining governance, traceability, and institutional knowledge across transactions.



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