A business development representative on Anthropic’s Japan team automated his daily workflow by moving his Claude agents to Managed Agents. The agents run on schedules, share a memory store, and use credential vaults, while Claude Tag handles tasks that need human follow‑up. The result is a fleet of agents that draft emails, update Salesforce, and manage routine tasks, freeing the rep to review only high‑value items.
As a business development representative on Anthropic's Japan team, my job is to show Japanese companies how Claude can simplify and automate their workflows, but until earlier this year, most of mine were still manual. I was spending a couple of hours each morning routing and qualifying leads, then writing emails in Japanese or English. In the time I had left, I was updating our CRM, often a day or more behind. Now my agents prepare most of that before my day starts, and I review it.
The first Claude-run workflow I built was pretty scrappy, but it did the job. I'd hand Claude one piece of my work at a time, correct what it got wrong, and save those corrections. Over time, that grew into a handful of agents, each covering a different routine.
Word got around quickly, and teammates started asking for my prompts and skills so they could build their own. All I could send them was a zip file with my skills and a few Markdown files from the knowledge base, which they had to upload to Claude and then answer a round of setup questions before anything worked. My own setup was getting harder to keep track of, too. Each agent was a skill, a scheduled task and a shared folder, and I changed them by asking Claude in whatever chat I had open, so the same skill was being edited from lots of different conversations.
I divided up my workflow across several agents and gave every agent one clear job. A single responsibility keeps each one easy to reason about and easy to track, especially when something is off. I also gave every agent a Japanese name, because they mostly work in Japanese. Together they're called the Nakama , "the crew," or more literally, the companions you work with:
Three things I got on Managed Agents that mattered most for my workflow:
Claude also posts a morning brief of product and pricing updates. The Nakama coordinator picks up that brief and writes the necessary changes into the shared knowledge base.
Now that Claude prepares inbound replies and keeps CRM records current (mostly) without my manual input, my role is to review anything that requires human judgment. A written rulebook defines each agent's lane and items like pricing questions, sensitive accounts, or ambiguous asks route to me. Every email draft from Henji, Sabaki, or Nokori arrives with a short summary at the top of what's going on, so I don't have to trace the whole thread to understand the context: I read the summary, confirm, make revisions, and send.
I wanted to define each agent once, in one place, and be able to see every change I'd made to it. So I decided to try Claude Managed Agents (opens in new tab) (beta), our managed agent infrastructure on the Claude Platform.
I was hesitant to try it at first. The docs talk about schedules, tools, and credential vaults, and I'm a sales rep, so I assumed Managed Agents was for developers who can build and maintain the necessary infrastructure. I tried it anyway because my agents already existed, and I only had to move them over.
It turned out I didn't need to be a developer. I described each agent's job in plain language, Claude wrote a few short setup scripts, and I ran them from the terminal on my laptop. (If you're starting from scratch, the Console also has a quickstart with ready-made agent templates.) Since then, there has been no infrastructure for me to look after.
Demonstrates how managed LLM agent platforms can lower the barrier to entry for sales and support teams, enabling broader adoption of AI automation in enterprise workflows.