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

- Company: Amazon (amazon.com)
- Announced: 2026-09-17T15:36:42+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://aws.amazon.com/blogs/machine-learning/how-mrh-trowe-enabled-secure-self-service-ai-agents-in-financial-services/
- Record: https://forck.live/items/11730-how-mrh-trowe-enabled-secure-self-service-ai-agents-in-financial-services
- Subject: Bedrock / Nova
- Pricing: approximately $14 per seat in the first month, with a clear path to reduce infrastructure costs by about 40 percent through right-sizing and scheduled scaling

Amazon's case study documents how MRH Trowe, a German insurance broker, deployed secure self-service AI agents for approximately 400 employees using Strands Agents, Amazon Bedrock AgentCore, and LibreChat. The solution enables employees to build and use AI agents within a governed environment that meets financial sector compliance requirements, with the first production agent automating meeting minutes generation from Microsoft Teams transcripts.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/how-mrh-trowe-enabled-secure-self-service-ai-agents-in-financial-services/:

> The framework combines Strands Agents, Amazon Bedrock AgentCore, and LibreChat to deliver the security, data residency, and compliance controls required in the German financial sector. The initial production cost was approximately $14 per seat in the first month, with a clear path to reduce infrastructure costs by about 40 percent through right-sizing and scheduled scaling.

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