AWS Machine Learning Blog· Kushal Mangtani·· 5 d ago
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
Learn how Trovata built autonomous treasury agents on Amazon Bedrock and Amazon Bedrock AgentCore, using an RBAC-secured architecture for bank-branded AI deployment and agentic workflows that move corporate treasury from manual operations to real-time decision-making at enterprise scale.
Selection record
Threshold 60Official, first-handFirst 32Second 38
Not admittedSum of both 70 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：介绍基于Bedrock的自主财务AI Agent架构与用例
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com