From AGENTS.md to Enterprise Deployment

Enterprise AI adoption requires transitioning from experimental, laptop-based agent development to robust, production-ready infrastructure. Operating agents in regulated environments necessitates strict adherence to compliance standards, such as PCI or HIPAA, often within air-gapped data centers. By applying established platform engineering principles—specifically using buildpacks and containerized runtimes—organizations can standardize agent deployment, ensuring security and scalability. The Model Context Protocol (MCP) serves as a critical architectural layer, enabling secure, audited tool access and identity management for agents. Nick Kuhn, a tech marketing expert at Broadcom Tanzu, highlights that treating agents as standard applications allows teams to leverage existing CI/CD pipelines and monitoring tools. This approach mitigates the risks of uncontrolled agent swarms while enabling consistent, repeatable patterns for managing memory, identity, and tool usage across complex enterprise ecosystems.