Your business is about to hire a whole new department, and nobody has drawn up the org chart for it yet.
I was listening to a podcast this week where a group of tech leaders were comparing notes on their AI agent swarms. I run about 20 agents, and I’m adding more each month. One guy was running fifty agents at once, each one with its own little job, like a tiny company living inside his computer. Another said he had just signed off on running thousands of agents in parallel, and he compared it to running an entire staff overnight.
Then one of them said something that stuck with me. He admitted that once you go from one agent to fifty to a thousand, you genuinely can’t tell if any of them are being productive. It’s the same problem you’d have if you hired a thousand people tomorrow with no manager, no check-ins, and no way to measure results.
One of the guys on the call had an agent quietly generating art all day long, with zero oversight. Nobody reviewed it, nobody adjusted it, and the results just kept drifting further and further from anything useful. It wasn’t a bug. It was exactly what happens when nobody’s watching the work.
That’s not really an AI problem. That’s a management problem. The robot part just makes it move faster.
The order matters more than the tool
Every business owner I talk to about AI wants to know which agent to install first. That’s the wrong first question. The right first question is: How will I know if it’s actually working?
Figure out your vision first. Find the real opportunity second. Build the system third. Let the scaling happen last. Skip that order, and you’re just adding headcount to chaos.
The tech leaders on that podcast admitted their organizational thinking had to catch up to their agent count. Small business owners actually have an advantage here. Most of you already know your team’s reporting lines cold. You already know who checks whose work and how often. Give your AI agents that same treatment. Assign someone to check in on what they produced. Put a date on the calendar to review it. Treat every agent like a new hire on a 90-day probation period, because that’s exactly what it is.
Why this matters right now.
The businesses that win with AI agents over the next few years won’t be the ones who add the most agents the fastest. They’ll be the ones who built a simple feedback loop around every single one before it touched real work. Review what it did. Document what worked and what didn’t. Adjust. Repeat.
Skip that step, and you won’t be reviewing business results. You’ll be reviewing weird art projects and wondering how you got there.
Want the simple version of this?
I put together an infographic on how to build a review system for your first AI agent, one that catches problems while they’re still small and cheap to fix. Join my email list, and email me and I’ll send it your way.
