Orchestrating Trustworthy AI Agents: A Production Governance Pipeline with Control-M, Amazon Bedrock, and Snowflake

This article demonstrates how to transform AI agents from experimental demos into reliable, production-grade governance pipelines by using Control-M to orchestrate workflows across Amazon Bedrock, Snowflake, and AWS services. The described architecture automates an end-to-end process that ingests market data, utilizes AI for portfolio rebalancing recommendations, and manages downstream operational tasks such as report generation, email distribution, and dashboard updates.