We build AI employees: AI that does real work in your business on its own, not a chatbot you have to babysit that only gets things half right.

‍
Most AI falls short for the same reason: it gets dropped into a business and handed the same unoptimized processes that are already there. Those usually aren't as efficient as they could be to begin with, and they're rarely set up in a way an AI can actually run well.

‍
So before we build anything, we audit how your company actually runs, optimize your processes for AI, then train a custom AI employee to work exactly like your team does.

Most AI tools are built to appeal to everyone, which means they're built for no one in particular.

‍
You've probably felt this already. A tool does 80% of what you need, but the last 20%, the part that would actually make it work perfectly for your use case, it just can't do. And the company that makes it isn't going to build a feature for one customer.

‍

We go the other way. Everything we build is custom to your business, your tools, and your process. It's the difference between an off-the-rack suit and one tailored to fit you. One is cheaper and close. The other actually fits.

Yes, and you don't have to give up anything you're already using. Our AI employees are built to work with your current setup, not replace it.

‍
Think of it as a new layer that sits on top of the tools you already have. It talks to them, moves information back and forth, and does the work, while you keep using the systems your business runs on. Even if you use a less common or industry-specific platform, as long as we can pass information to and from it, we can make it work.

‍
So you're not switching software or retraining your team. You're adding an autonomous worker that actually completes the process end to end.

Sometimes, yes. If your project is simple enough to do on your own with ChatGPT or Claude, we'll tell you that instead of selling you something you don't need. But most of the agents our clients ask for are far more complex, and building them correctly takes real expertise.

‍
You've heard the headlines about DIY agent horror stories. An AI quietly running up a five-figure bill overnight, leaking customer data in a breach, or confidently making a false promise to a customer. When you're not a developer, none of that is visible until it has already happened.

‍
The companies we work with usually come to the same conclusion: their team's time is best spent actually running the business, and the systems they rely on are too important to risk getting it wrong. It's the same reason a CEO hires a marketer instead of learning ads from scratch. You could, but it's rarely the best use of your skills.

Because we figure that out before you commit to a build, not after. We don't do one-size-fits-all, and we're never going to tell you "yes, it works for everyone, just sign up."

‍
Every project starts with a scoping step where we map out exactly what you need and confirm it can be done. If it's not a good fit, we tell you on one of our first calls, before you've spent money on a build. And in the rare case something comes up mid-project that makes it impossible, we refund you.

AI employees are a compounding investment. If a repetitive task takes up a third of the time of an employee making $90,000 a year, that's $30,000 wasted every year.

‍
An AI employee does the same work for a one-time build fee of $3,600, plus $200 a month for hosting and upkeep, and it never takes vacation, quits, or asks for a raise. That's why most of our clients make their entire investment back within the first month of deploying them.

Most AI employees are up and running within 2 to 4 weeks, once we've finished the consultation and gathered what we need from your team. During the scoping step we'll give you a more exact timeline for your specific project.