Anthropic introduced Claude Managed Agents to simplify how companies build and deploy AI agents at scale. As a result, the platform packages essential infrastructure into composable APIs, reducing development timelines from months to days. Moreover, it handles sandboxed code execution, session management, credential handling, scoped permissions, and tracing in one system.
Because these operational layers previously required extensive custom engineering, teams can now focus directly on building agent capabilities. In addition, the platform includes orchestration tools that manage context, tool usage, and error recovery automatically. Consequently, developers can deploy functional agents much faster and with fewer resources.
“You define your agent’s tasks, tools, and guardrails and we run it on our infrastructure,” Anthropic said in its announcement, describing a built-in orchestration harness that manages tool calls, context, and error recovery automatically.
Furthermore, internal testing showed task success improvements of up to 10 points compared to standard prompting loops. Notably, the biggest gains appeared in more complex and structured tasks.
Early Adoption Across Multiple Industries
Several companies have already begun integrating the platform into their workflows. For example, Notion uses Managed Agents to let teams delegate coding, website creation, and presentation tasks directly within its workspace. As a result, users can run dozens of tasks simultaneously without leaving the platform.
“Our users can now delegate open-ended, complex tasks — everything from coding to generating slides and spreadsheets — without ever leaving Notion,” said Eric Liu, a product manager at Notion.
Similarly, Rakuten deployed specialized agents across departments such as sales, marketing, finance, and HR. Meanwhile, these agents integrate with tools like Slack and Microsoft Teams, allowing seamless collaboration. According to Yusuke Kaji, each agent was deployed within a week, highlighting the platform’s efficiency.
In addition, companies like Asana, Atlassian, and Sentry are also building on the platform. Notably, Sentry combines its debugging tool with a Claude-powered agent that writes patches and opens pull requests automatically.
Expanding Enterprise AI Capabilities
This launch builds on a broader push into enterprise software. Earlier this year, the company introduced an enterprise agents program with integrations across finance, engineering, and design workflows. Additionally, it supports tools like Gmail and DocuSign, enabling deeper connections with existing business systems.
At the same time, the platform uses a consumption-based pricing model that includes standard token rates plus a session-based runtime fee. Furthermore, multi-agent coordination is already available in research preview, allowing agents to create and manage other agents.
As competition grows, major players continue investing in managed AI services for businesses. Therefore, the platform aims to stand out by offering purpose-built infrastructure designed to improve outcomes while reducing development effort.








