What is an AI workforce, and how is it different from a chatbot?

Why isn't one chatbot enough?

Ask it a marketing question and a finance question and you get the same shallow generalist, with no memory of what you told it last week. An AI workforce is the opposite idea: a cast of specialists, each with real expertise, that remember your business and hand work to each other.

You hire them the way you hire staff.

You take agents from a catalog the way you would take on people: a Marketing agent, a Finance agent, a Research agent. You group them into teams, give each a job description, and switch on the tools it is allowed to use. Then you talk to them, one at a time or all at once, and they pass work between themselves to get an answer back to you.

They remember.

A three-layer memory keeps facts private to each agent, shared within a team, and shared across the whole company. Close the tab, come back next week, and they still know your brand voice and what you decided last Tuesday.

It's your server.

One deployment is one customer. Your own database, your own files, your own keys. No shared database, no other customer on the machine.

See everything a Lucy team can do, or request access.