What exactly is an AI employee?
An AI employee is a custom automation system that handles specific operational tasks in your business. It's not a chatbot. It's not a platform you log into. It's a system we build around your actual workflows that executes tasks — drafting content, updating your CRM, pulling reports, following up on leads — based on triggers and instructions we've designed around how your business runs. You interact with it in plain English. It does the work. You review the output and make decisions.
Is this just ChatGPT with a fancy wrapper?
No. ChatGPT is one of the AI models we might use as a component in the system. The AI employee is the whole system — the workflow automation (built in n8n), the integrations with your existing tools, the process design, the prompts and instructions that make it understand your specific business, and the ongoing operation that keeps it working. ChatGPT is a tool we build with, not the product.
Will the AI employee replace my staff?
No. And anyone telling you it will is either wrong or trying to scare you into buying something. AI is a tool for amplification, not replacement. It handles the tedious, repetitive work that doesn't require human judgment — so your team can focus on the work that does. We won't build you a system that promises to replace your people.
How smart is the AI employee?
It's smart about the things we've trained it to be smart about — your specific workflows, your processes, your business context. It's not generally intelligent. It can't handle situations it wasn't designed for. It can't replace human judgment on complex decisions. It's very good at executing defined processes reliably and consistently. That's what makes it valuable.
What happens when the AI makes a mistake?
It will make mistakes. That's not a bug — it's the reality of AI systems. That's why we build in human review for outputs that matter, why we monitor the system during the dial-in period, and why we stay to operate it. When we catch a mistake, we fix the underlying issue. Over time, the system gets more reliable. But we'll never tell you it's 100% accurate — that would be a lie.