ToolsMay 28, 2026via AWS Machine Learning Blog
Automate AML alert triage with Amazon Quick and Snowflake Cortex AI
Why it matters
Amazon and Snowflake shipped a production integration that automates one of financial services' most labor-intensive workflows. This is app-layer AI deployment solving real operational friction—not a model release, but a tool that uses AI to cut investigative time by 85%+.
Key signals
- Alert investigation time reduced from 30-90 minutes to under 5 minutes
- Integration: Amazon Quick Flows + Snowflake Cortex AI via MCP
- Use case: Anti-money laundering (AML) alert triage automation
- Target: Financial services compliance workflows
- Status: Tested; actual results variable by alert complexity and data volume
The hook
30-90 minutes down to under 5. That's what Amazon Quick + Snowflake Cortex just did to AML alert triage.
This post demonstrates that integration in action by automating one of the most labor-intensive workflows in financial services: anti-money laundering (AML) alert triage. You will build a triage workflow using Amazon Quick Flows and Snowflake Cortex, connected through the Amazon Quick Model Context …