{"version":1,"type":"story","url":"https://digestai.news/story/mrh-trowe-equips-400-staff-with-secure-selfservice-ai-agents-using-aws-bedrock","json":"https://digestai.news/story/mrh-trowe-equips-400-staff-with-secure-selfservice-ai-agents-using-aws-bedrock.json","markdown":"https://digestai.news/story/mrh-trowe-equips-400-staff-with-secure-selfservice-ai-agents-using-aws-bedrock.md","slug":"mrh-trowe-equips-400-staff-with-secure-selfservice-ai-agents-using-aws-bedrock","headline":"MRH Trowe equips ~400 staff with secure self‑service AI agents using AWS Bedrock","summary":"German insurance broker MRH Trowe, operating across Germany, Switzerland and Austria, needed a way for its roughly 400 employees to use generative AI without exposing sensitive client data. Individual teams were experimenting with separate tools, creating a risk of fragmented, unmanaged solutions that could breach the strict data‑protection rules of the financial sector.\n\nThe company built a unified platform that combines the open‑source Strands Agents SDK, Amazon Bedrock AgentCore, and the LibreChat chat interface. In the first month of production the framework delivered secure, self‑service AI agents that can retrieve calendar events, generate meeting minutes, and later support data‑driven analyses. Initial infrastructure and token costs averaged about $14 per seat per month, with a projected 40 % reduction through right‑sizing and scheduled scaling.\n\nSecurity is enforced by keeping all compute and data in the AWS Europe (Frankfurt) region, using a zero‑trust transit gateway, session isolation in AgentCore, and Microsoft Entra ID for single‑sign‑on. The architecture gives MRH Trowe centralized governance, cost transparency, and the ability for non‑technical staff to create and run AI agents, paving the way for 10‑15 agents by the end of 2026.","keyPoints":["MRH Trowe rolled out secure AI agents to about 400 employees in the first month, using Strands Agents, Bedrock AgentCore, and LibreChat.","Initial infrastructure cost was roughly $14 per seat per month, with a projected 40% reduction through right‑sizing and scheduled scaling.","The solution keeps data in‑region (Frankfurt), uses zero‑trust transit gateway, session isolation, and Microsoft Entra ID for authentication."],"whyItMatters":"Demonstrates that regulated financial firms can safely scale self‑service AI while meeting data residency and compliance, offering a model for cost‑effective, secure AI adoption across the industry.","category":{"slug":"agents","name":"Agents & Tools","url":"https://digestai.news/category/agents"},"entities":{"companies":["MRH Trowe","Amazon Web Services","Strands","Microsoft"],"models":["Amazon Bedrock foundation models"],"people":["Leonid Karlinsky"]},"firstPublishedAt":"2026-09-17T15:36:42Z","updatedAt":"2026-09-17T15:36:42Z","sourceCount":1,"hasPrimarySource":true,"sources":[{"outlet":"AWS Machine Learning Blog","title":"How MRH Trowe enabled secure self-service AI agents in financial services","url":"https://aws.amazon.com/blogs/machine-learning/how-mrh-trowe-enabled-secure-self-service-ai-agents-in-financial-services","publishedAt":"2026-09-17T15:36:42Z","type":"primary","primary":true,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"MRH Trowe equips ~400 staff with secure self‑service AI agents using AWS Bedrock\", 17 September 2026, https://digestai.news/story/mrh-trowe-equips-400-staff-with-secure-selfservice-ai-agents-using-aws-bedrock","publisher":"Digest AI","title":"MRH Trowe equips ~400 staff with secure self‑service AI agents using AWS Bedrock","datePublished":"2026-09-17T15:36:42Z","url":"https://digestai.news/story/mrh-trowe-equips-400-staff-with-secure-selfservice-ai-agents-using-aws-bedrock"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}