Announcing general availability of Amazon WorkSpaces for AI agents
Amazon WorkSpaces for AI agents is now generally available, enabling AI agents to securely access and operate desktop applications through managed WorkSpaces environments.
Amazon WorkSpaces for AI agents is now generally available, allowing AI agents to securely access and operate desktop applications through managed WorkSpaces environments. Enterprises rely on desktop applications such as ERP systems, CRMs, mainframes, and proprietary tools for critical business processes. These applications often have years of customization, undocumented logic, and strict compliance requirements, making them too critical to abandon and costly to modernize. WorkSpaces for agents provides AI agents with a managed cloud workspace where they can view the screen and operate these applications as humans do, without requiring application modernization or custom integrations. WorkSpaces uses the same infrastructure trusted for over a decade to deliver secure, managed desktops at scale. Agents inherit the same identity controls, network isolation, and compliance boundaries as human users, enabling organizations to automate workflows such as claims processing, patient record updates, trade settlement, and back-office operations without sacrificing governance. The service works with any agent framework using Model Context Protocol (MCP), and pricing scales based on active session time. Since launching in preview, customer and partner feedback has shaped new capabilities. MCP tool forwarding allows agents to interact with applications and the desktop operating system through direct MCP calls rather than using computer use tools, improving accuracy, reducing latency, and lowering cost. Real-time session control gives operators live visibility into agent activity with the ability to revoke access mid-session. Domain-joined fleet support lets agents operate under existing Active Directory identities, extending the same access policies and audit attribution that apply to employees.