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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