Financial institutions using AWS and Snowflake can now automate anti-money laundering (AML) alert triage through a new integration combining Snowflake's AI Data Cloud with AWS services. The solution, demonstrated by Amazon Quick Flows and Snowflake Cortex, uses the Model Context Protocol (MCP) to connect these platforms. In testing, automated workflows cut alert investigation time from 30-90 minutes to under 5 minutes. The system streamlines the triage process by validating input, analyzing structured transaction data with Cortex Analyst, and retrieving unstructured compliance documents via Cortex Search. Analysts input an alert ID and optional time window, then receive a structured investigation brief including risk scores and disposition recommendations. The integration leverages over 50 native connections between AWS and Snowflake services, enabling compliance workflows that maintain data security while accelerating time to value. *Source: [awsml](https://aws.amazon.com/blogs/machine-learning/automate-aml-alert-triage-with-amazon-quick-and-snowflake-cortex-ai/)*