Automate AML alert triage with Amazon Quick and Snowflake Cortex AI

This article demonstrates automating anti-money laundering (AML) alert triage by integrating Amazon Quick Flows with Snowflake Cortex AI through the Model Context Protocol (MCP).

• Reduces AML alert investigation time from 30-90 minutes to under 5 minutes
• Amazon Quick Flows orchestrates structured triage workflow with input validation and formatted output
• Snowflake Cortex Agent analyzes transaction data via Cortex Analyst and compliance documents via Cortex Search
• OAuth-authenticated MCP integration connects Amazon Quick to Snowflake without custom connectors
• Workflow enforces consistent investigation steps: collect input, run investigation, produce output
• Addresses 90-95% false positive rate in AML alerts through efficient automated triage
• Includes 10-step implementation guide from semantic view setup to flow publication
• Provides audit trail through Amazon Quick and Snowflake access history logging
• Human analyst must review and approve all SAR filings; flow is accelerator, not decision-maker

This solution demonstrates how structured AI workflows can automate repetitive compliance processes while maintaining security, auditability, and human oversight in regulated financial environments.