Claude Managed Agents: Notion, Asana, Rakuten Already Using Anthropic’s New AI Tool

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AI Agents: Anthropic Just Launched Claude Managed and Notion, Asana, and Rakuten Are Already Using It

Anthropic has released Claude Managed Agents into public beta, providing a complete infrastructure to support AI agents built with Claude. This new system handles all the complex backend tasks – like security, data storage, access control, and fixing errors – that previously took engineering teams months to set up before they could even start building the agent’s core functions.

Summary

  • Claude Managed Agents is available now on the Claude Platform at $0.08 per runtime hour plus standard Claude model usage costs; an agent running around the clock costs approximately $58 per month in runtime before token costs, and the service runs exclusively on Anthropic’s infrastructure
  • Early adopters already in production include Notion, which delegates coding, slides, and spreadsheet tasks to Claude in parallel across dozens of simultaneous sessions; Rakuten, which deployed specialist agents across product, sales, marketing, finance, and HR, each live in under a week; and Asana, whose CTO says the company shipped advanced features “dramatically faster” than prior methods allowed
  • Two features are in research preview: the ability for agents to create additional sub-agents for complex tasks, and an automatic prompt quality enhancement that improved structured file generation success rates by up to 10 points in internal testing

On April 8th at 5:14 PM Eastern Time, Anthropic announced the launch of Claude with a post that received over 5 million views. Claude is designed with a unique approach: its core reasoning abilities are separate from the environment it uses to perform tasks like running code or accessing files. Each session runs in a fresh, secure container. This design means that when Anthropic releases an updated version of Claude, they only need to update the core ‘brain’ – the underlying infrastructure, or ‘hands,’ stays the same, saving time and resources.

You pay only for what you use. There’s a $0.08 per hour charge for keeping a session active, and then you’re charged the standard rate for the number of tokens the model processes.

AI Agents in Production: What Each Early Adopter Actually Built

Notion, Asana, and Rakuten show three different ways companies are using AI. Notion lets engineers and other employees use Claude directly within their workspace to create things like code, presentations, and websites, all without switching platforms. Asana created “AI Teammates” that work within their project management system to handle tasks, create drafts, and then pass the work back for review. Rakuten quickly set up AI agents across five different departments, connecting them to Slack and Teams to receive tasks and deliver results – they had each department up and running in under a week. Sentry took a unique approach by combining their existing AI with Claude to automatically fix bugs and create code updates, all without any human involvement.

What Developers Need to Know Before Building

Developers create the agent by setting its core components – the AI model, initial instructions, available tools, connections to external servers, and safety guidelines. They then set up a cloud environment with the necessary software and network permissions. Anthropic’s systems automatically manage how these tools work together, remember past interactions, save progress, and handle unexpected errors. Importantly, conversations continue even if the connection is interrupted, which is crucial for complicated tasks. Currently, this service only runs on Anthropic’s cloud platform and isn’t available on other platforms like Amazon Bedrock or Google Vertex AI, which may be a consideration for companies using multiple cloud providers.

Why This Launch Matters for the Broader AI Market

In my research, I’ve been tracking how AI is becoming central to business decisions, and it’s likely to significantly impact staffing levels by 2026. One major hurdle I’ve observed is that tools like Claude Managed Agents – which can reduce operational costs – haven’t been widely adopted because they require specialized DevOps expertise. Interestingly, the development of this AI infrastructure, particularly platforms like Anthropic’s, is heavily influencing where investment is going, and that’s creating a knock-on effect in the market for AI-related crypto tokens. I’m currently exploring the multi-agent coordination feature, which allows AI agents to create sub-agents to tackle more complicated projects. It’s still in early preview, but accessible through the Claude Platform console.

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2026-04-09 23:08