Meet A.M.A.L.: How I Built an Agentic AI to Query Microsoft Intune Using Amazon Bedrock

Managing enterprise endpoint compliance and status is a critical, yet often tedious, part of IT operations. In my role as an IT Senior Manager, I am constantly exploring ways to streamline workflows and reduce the manual administrative overhead that comes with managing device fleets. In practice, answering a seemingly simple question like “Is this device compliant right now?” often means breaking context, logging into Intune, applying filters, and manually validating data—sometimes during a live incident or executive call. That constant context switching was the frustration I wanted to eliminate. I didn’t want another dashboard or reporting layer. I wanted the experience of asking a knowledgeable teammate a question—and getting an immediate, trustworthy answer. That’s how A.M.A.L. (Automated Management & Access Liaison) was born. A.M.A.L. is an agentic AI assistant designed to instantly retrieve Microsoft Intune data just by asking a simple question. Here is a breakdown of how I built