BGL 商业智能民主化：Claude Agent SDK 与 Amazon Bedrock 实践

[Democratizing business intelligence: BGL’s journey with Claude Agent SDK and Amazon Bedrock AgentCore](https://aws.amazon.com/blogs/machine-learning/democratizing-business-intelligence-bgls-journey-with-claude-agent-sdk-and-amazon-bedrock-agentcore/) BGL, a premier provider of self-managed superannuation fund (SMSF) administration solutions, empowers over 12,700 businesses across 15 countries to navigate the intricacies of retirement savings compliance and reporting. This blog chronicles BGL's pioneering implementation of a production-grade AI agent leveraging Anthropic's Claude Agent SDK and AWS Bedrock AgentCore, fundamentally democratizing business intelligence (BI) by making advanced analytics accessible via natural language. At its core, the technical architecture fuses Claude Agent SDK's robust agentic framework—encompassing tool invocation, stateful memory, and multi-turn reasoning—with Bedrock AgentCore's scalable orchestration layer. Claude handles sophisticated NLP tasks like intent parsing and chain-of-thought reasoning, while AgentCore manages action execution in a secure sandbox, integrating AWS primitives such as Lambda for custom functions, Knowledge Bases for RAG, and S3 for persistent session storage. Key innovations include a modular toolset: a SQL synthesizer dynamically generates and optimizes queries against RDS/Aurora databases based on user queries like "Assess compliance risks in my portfolio"; compliance validators invoke external APIs for real-time rule checks against Australian Taxation Office (ATO) guidelines; and report generators employ Claude's multimodal capabilities to ingest PDFs/Excel, synthesize insights, and output interactive dashboards via QuickSight APIs. BGL's ingenuity shines in the 'agent orchestrator' pattern, which decomposes complex workflows into parallel sub-agents (e.g., data ingestion, analysis, visualization), achieving 30%+ throughput gains over monolithic designs.