Anthropic, a leader in generative AI, has announced "Claude Managed Agents," an AI agent hosting service. This service appears to offer significant advantages for enterprises utilizing AI agents, so let’s dive deeper into what it’s all about.
1. What is "Claude Managed Agents"?
First, what exactly is "Claude Managed Agents"? Let’s look at a quote from Anthropic's technical blog (1):
Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.
It seems "Claude Managed Agents" refers to an AI agent infrastructure designed for stable, long-term operation, even as underlying models are updated. A key concept here—which is also the title of their blog post—is "Decoupling the brain from the hands."
The solution we arrived at was to decouple what we thought of as the “brain” (Claude and its harness) from both the “hands” (sandboxes and tools that perform actions) and the “session”
Because the functions are separated, if the system stops, you only need to fix the specific affected part to achieve a quick recovery. This certainly looks promising.
Decoupling the brain from the hands
2. Creating a Customer Complaint Classification Agent with "Claude Managed Agents"
Descriptions alone don't quite capture the experience, so let’s try running "Claude Managed Agents" ourselves. First, we enter a prompt into the box on the bottom left.
Claude Managed Agents Console
For this test, we will create an agent to classify bank customer complaints. I have instructed it to select one of six financial products. Immediately, a configuration file is generated as shown below. Next, we create the agent.
Prompt Input and Configuration File
The agent is now created. Next, we set up the environment.
Environment Configuration
The environment is ready. Now, we start a session.
Start Session
The session has begun.
Ready
The preparation was finished in no time. There is nothing technically difficult about this; it’s just a matter of clicking buttons. Let's test it out immediately. I'll enter a bank customer complaint as follows:
Bank Customer Complaint Input
The result came back as "Student loan." Correct!
Now, let’s try one more.
It came back as "Mortgage". Correct!
It’s working perfectly. All I did was provide a prompt instructing the AI agent on what to do. The rest was handled almost automatically by "Claude Managed Agents." This is impressive.
3. Easy Enterprise Scaling: The Rakuten Success Story
Now, let's look at an example of a Japanese company that used "Claude Managed Agents" to scale its AI agents: Rakuten, the e-commerce giant. By switching from in-house infrastructure development to "Claude Managed Agents," they succeeded in deploying AI agents across the company with overwhelming speed.
“Deployed Claude Managed Agents across product, sales, marketing, finance within one week“ (2)
It is particularly notable that business-side staff, not just engineers, are actively involved. It truly sounds like a company-wide initiative. Wonderful! I look forward to seeing more Japanese companies follow this lead.
"Claude Managed Agents" Success Story: Rakuten
How was that? Between the rapid development enabled by "Claude Managed Agents" and the reduced maintenance burden associated with updating frontier models, this feels like a paradigm shift in enterprise AI. While concerns about vendor lock-in remain, for companies that prioritize speed above all else, "Claude Managed Agents" appears to be an ideal service.
ToshiStats will continue to cover AI agent development in the corporate world. Stay tuned!
You can enjoy our video news ToshiStats AI Weekly Review from this link, too!
1) Scaling Managed Agents: Decoupling the brain from the hands, Anthropic
2) Rakuten accelerates development with Claude Code, Anthropic
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