Claude built AI agents that run whole tasks. Here's where to start.

AI can now run an entire task on its own, start to finish. You've written that off as a tech-company thing, which is exactly the assumption costing you the easy wins.

That was a fair assumption until recently. Building an agent meant months of engineering work before it did anything useful. All the security and tool-connection work had to be built first.

So agents stayed inside tech companies, and everyone else kept doing the repetitive work by hand.

That part is now handled. Claude built something called Managed Agents that takes care of the plumbing, the invisible work that used to take a team months.

So for a business like yours, the real work now is spotting which job you'd hand over first. You won't be writing code to do this. The businesses that get value from it are the ones that already know which task is worth handing over.

This is already happening inside tools you might use. Asana has AI agents that pick up assigned tasks inside a project and work through them. Rakuten put agents to work across its finance and HR teams, and had each one live in under a week.

If I were you, I'd start by picking the one task in your week that takes the same ten steps every time. For most businesses that's something like chasing overdue invoices, onboarding a new client, or pulling the month-end numbers together.

Write that process down, step by step, this week. That description is the brief for your first agent.