Hyundai AutoEver, the mobility software arm of Hyundai Motor Group, built the GenAI Sandbox, a pre-configured, secure, cost-governed environment on AWS that lets any team start building and validating generative AI applications on day one. The Sandbox is a managed offering, not a per-project environment, pairing foundation models in Amazon Bedrock with compute, storage, databases, and monitoring. It is built around five core pillars: security, cost, permissions, networking, and development packages. The architecture uses a single-account, multi-tenant model, combining AWS IAM Identity Center permission sets with attribute-based access control (ABAC) so access decisions are driven by tags rather than per-resource policies. The post is a technical deep dive explaining the Sandbox’s multi-tenant isolation model along with its inherited security and cost controls. It then examines two production-grade multi-agent AIOps systems built on top of it, including the LangGraph state model, Retrieval-Augmented Generation (RAG) design, OpenSearch query patterns, parallel root cause analysis (RCA) with self-falsification, and human-in-the-loop safeguards for agentic recovery in production. Code samples are illustrative and simplified for readability.