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

Basic AI chat isn’t enough for financial services organizations that need secure, self-service AI agents. In financial services, employees need AI that can work with internal systems and sensitive client data, stay inside a governed environment, and remain auditable and cost-transparent. All of this must happen without every team standing up its own tools.

This post shows how MRH Trowe, one of Germany’s leading commercial and industrial insurance brokers, gave approximately 400 employees secure access to self-service AI agents. The rollout reached this scale in the first month of production. 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.

About MRH Trowe

MRH Trowe is an owner-managed commercial and industrial insurance broker operating primarily in Germany, Switzerland, and Austria. Growing through both organic expansion and acquisitions, MRH Trowe was among the first German insurance brokers to operate on an exclusively cloud-based IT infrastructure. AWS is the preferred partner for this strategy, and the use of AI is a strategic corporate goal, specifically to streamline internal processes and enhance efficiency.