← Back
AWS ML Blog

How MRH Trowe enabled secure self-service AI agents in financial services

11 min read
#bedrock#amazon
TL;DR

MRH Trowe rolled out secure, self‑service AI agents to roughly 400 employees within the first month of production by combining Strands Agents, Amazon Bedrock AgentCore, and LibreChat. The architecture uses Strands Agents to orchestrate calls to Bedrock AgentCore, while LibreChat provides a local UI that satisfies German data‑residency requirements. The deployment demonstrates a rapid, compliant agent rollout that keeps all data within EU borders and leverages Bedrock’s managed LLM services for inference. The result is a production‑ready agent platform that balances speed, security, and regulatory compliance.

⚡ Key Takeaways

  • 400

Want the full story? Read the original article.

Read on AWS ML Blog

More like this

Implementing defense-in-depth authorization for MCP tools on Amazon Quick

AWS ML Blog#mcp

A decade of mathematical certainty: Reflections on the Automated Reasoning Group

Amazon Science#inference

AWS Trainium Frontier competition: Co-design models and kernels on purpose-built AI chips

Amazon Science#llm

Build a serverless PII redaction pipeline with Amazon Bedrock Data Automation

AWS ML Blog#deployment

EXPLORE AI NEWS

Daily hand-picked stories on LLMs, RAG, agents and production AI — curated for engineers who ship.

BROWSE NEWS

GET THE WEEKLY DIGEST

Join engineers getting the Monday signal-over-noise AI breakdown. No spam, unsubscribe anytime.

LEARN AI ENGINEERING

Curated courses, research papers, repos and tutorials built for engineers leveling up in AI.

START LEARNING