We Just Replaced Two People’s Jobs With One AI Tool (And You Should Know What That Means)

I’ve been playing around with AI for a while now, and here’s what’s wild: adding features to these things is ridiculously easy. The hard part isn’t building it. The hard part is training it to actually do what you want it to do.

What’s Actually Happening With AI Right Now

Look, I just replaced an accountant and a consultant with one little tool. And the more I dig into how these systems work, the simpler the features look. You can bolt on new capabilities without breaking a sweat. But getting the AI to be smart about it—to do the right thing, to understand context, to not mess up your data—that’s the real work. That’s the voodoo part.

I’m building a new bot right now that’ll let my team create support tickets just by chatting with it. No forms, no jumping between systems. Just talk to the bot, and a ticket gets made. That’s the kind of thing that used to require a person sitting there, typing things in, making sure nothing gets lost. Now it’s a bot doing it.

What This Means for Your Business

Here’s the villain in your story: wasted hours. Your team spends time on repetitive work that doesn’t move the needle. Data entry. Ticket creation. Pulling information from one system and dumping it in another. Every hour spent on that is an hour not spent on something that actually grows your business.

And right now, the tools to fix this are getting cheaper and easier to deploy. But—and this is important—you have to think about what you’re doing when you set this stuff up. You can’t just throw an AI at a problem and hope it works. You need to know what you’re trying to solve, what data it’s touching, and what happens when it gets something wrong.

What To Do This Week

• Sit down with your team and list three repetitive tasks that eat up time every single week. Be specific: ticket creation, data entry, report pulling, whatever it is.
• Pick one task and ask yourself: what would it look like if this was automated? What would your team do with that time back?
• Talk to your IT person or your managed services provider about whether an AI tool makes sense for that specific job. Don’t just assume it does—make sure the data is clean and the stakes are clear.
• If you move forward, start small. One bot, one workflow, one team. Get it right before you scale it.

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Questions about how this affects your setup? Schedule a free IT consultation and we’ll walk through it with you.