That definition is the whole idea. The rest of this page is what each part of it means for you, and where to go next once one of these questions is the one keeping you from starting.
How an AI employee is different from a chatbot
A chatbot lives in one channel and forgets you between sessions. It answers, then the thread goes cold. An AI employee holds a role (Content Marketer, Analyst, SEO), uses your actual tools, and picks work back up where it left off. One does a job. The other answers questions.
Full breakdown: AI employee vs chatbot →
What an AI employee can actually do
The honest answer: defined, repeatable role work, done fast and done in your voice. A Content Marketer agent drafts and schedules your posts. An Analyst agent turns scattered numbers into a Monday readout. An SEO agent finds the questions your buyers ask and drafts the pages that answer them. Specific jobs with specific outputs — not “AI for your business” in the abstract.
How you stay in control
You approve before anything goes out. Every agent works inside an approval process, and the work gets a review pass — an Editor-in-Chief layer — before it reaches a customer or the public. On the live product, the standard is plain: every action is reviewed before it goes live. You're not handing over the keys. You're handing over the busywork and keeping the sign-off.
How an AI employee gets built and managed
Four steps: design, build, live, managed. We design the roles around your business, build and train each agent on your brand, get the team live, and then run it. That last word does the work — this isn't a tool you're handed and left to figure out. The team is managed after launch the way you'd manage a person: reviewed, adjusted, kept useful.
What it costs and how long it takes
Two questions that stop most people from starting, so here they are up front. Cost is an implementation fee plus a monthly subscription based on the roles you run — the model is explained on the cost page. Timeline is usually 2–3 weeks to live, often faster, then managed from there — the deployment page covers it.
Is my data safe?
Fair question, and the first one a lot of operators ask. Short version: security first, approvals before anything ships, scoped access, and a human reviewing the work. The safety page goes deeper.