What changed

Trovata, an AI-native cash and liquidity management platform, has launched autonomous treasury agents built on Amazon Bedrock and AgentCore. These agents automate repetitive treasury tasks, replacing manual processes with persistent workflows that operate continuously on behalf of treasury teams.

What this means in practice

Trovata’s solution enables corporate treasury teams to automate cash forecasting, anomaly detection, and reconciliation across over 10,000 banks through a single cloud-based platform. The AI-native agents run on schedules, triggers, or rules to monitor activity, explain variance, detect anomalies, and deliver updates automatically without human intervention. The system uses Amazon Bedrock for natural language understanding and generation, and Amazon Bedrock AgentCore for agent orchestration with role-based access control (RBAC) security.

Limitations and availability

The solution is available to enterprises using AWS infrastructure, with direct connections to over 10,000 banks. Trovata’s AI agents operate within a bank-branded, RBAC-secured framework, ensuring compliance and security. The platform supports real-time execution at enterprise scale, with sub-minute reporting across hundreds of bank accounts. The AI-native solution is currently in use by Trovata’s customers, who have reported annualized cost savings of $1M+ and reduced treasury reporting time to under a minute.

Source facts for Trovata Deploys Autonomous Treasury Agents on AWS Bedrock: For treasury teams these manual processes create delays, errors, and an inability to make real-time cash decisions when they matter most. In 2023, Trovata launched the first generative AI built specifically for treasury. Treasury teams today face a three-pressure problem: Fragmented banking data across multiple portals, requiring manual aggregation and reconciliation.
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Sources and further reading

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