A national AI strategy doesn't come with a login.
National AI ambition and shared platforms need an operational delivery layer to translate investment into adoption across departments.
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National AI ambition and shared platforms need an operational delivery layer to translate investment into adoption across departments.
Research organisations need an integrated operating model connecting users, scientific workflows, data and infrastructure.
Practical AI skills require hands-on environments, not just training content.
Autonomous AI agents will require governed access to cloud infrastructure.
Governance shouldn't create unnecessary operational friction.
Scaling AI innovation requires repeatable infrastructure and operations, not just successful pilots.
Sandbox Studio 1.2.0 introduces powerful new integration capabilities including a comprehensive REST API, an MCP server for AI assistants, webhook support, advanced cleanup automation, and improved visibility into the lifecycle of sandbox accounts.
We're thrilled to announce Sandbox Studio 1.1.0. This release introduces a simpler way to assign AWS accounts to users at scale, along with a new "events" feature, prebuilt templates, improved visibility, and more flexibility and customisation options across the entire platform.