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AWS Machine Learning Blog· Kushal Mangtani·· 5 days agoAI score34

Autonomous treasury agents: How Trovata built an AI-native solution on Amazon Bedrock and AgentCore

Autonomous treasury agents: How Trovata built an AI-native solution on Amazon Bedrock and AgentCore

AI summary

Trovata, an AI-native cash and liquidity management platform connected to over 10,000 banks, describes how it built autonomous treasury agents on Amazon Bedrock and Amazon Bedrock AgentCore, using role-based access control and a verified API layer within a bank-branded deployment model. The post outlines use cases such as cash forecasting, natural language querying, anomaly detection, automated reconciliation and persistent agentic workflows, and cites customer results including $1M+ in annualized cost savings, 5+ hours per day saved per accounting team, a 77 percent reduction in annual TMS costs, and reporting reduced from hours or days to under a minute. It also notes a library of ten agent patterns from real customer deployments and Trovata's plans to expand agent patterns, ERP integrations and global bank connectivity.

Source: AWS Machine Learning Blog · aws.amazon.com