I build AI operations for businesses. Here's what that looks like.

I'm building an AI operations practice. I set businesses up with folder based systems that actually run their work, not just a chatbot that answers questions.

Two real examples.

First, I built an entire CRM for a mobile vehicle wrap company. It runs the whole business in one place:

- Leads come in, the system sorts them and divides them up among the salespeople, then tracks every job through the pipeline.

- All the customer messaging lives in one inbox, including Instagram, so nothing slips through.

- It runs the money side too. It works out what each person on the team earned, shows who's owed at the end of every week, tracks booked value on a weekly dashboard, and updates a job the moment the customer pays in QuickBooks.

- One rule I never break: it tracks and calculates the money, but it never moves a dime. A person makes every actual payment. The system just tells them what's owed.

Second, I run one on my own business. I'm a property field inspector, so I made my own operation the first test case:

- It builds the weekly routes for me and a few other inspectors on its own, no button push.

- It prepares the inspection paperwork automatically, the part that used to eat my evenings.

- It never submits anything by itself. A real person reviews every job and does the final, irreversible submit.

Notice the same line in both. The hard part isn't getting the AI to do the work. It's deciding what it's not allowed to do without a human. Moving money and the final submit stay with a person. The system runs everything right up to that line.

If you're building AI operations for other businesses, how are you drawing that line for your clients? Where do you let the system run on its own, and where do you force a human sign off?

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I build AI operations for businesses. Here's what that looks like.