gw-cli) inventories the AI tools, skills, MCP servers and accounts on each laptop, measures how
every AI tool is used and what it costs, and, when you choose, routes model traffic through your
gateway and stops risky actions before they run. Everything rolls up into the console under
Endpoint AI Risk.
The three views
The sidebar entry mirrors how the fleet is organized:Fleet
People
Policy
How the pieces fit
A machine starts in Observe: traffic is watched and reported, nothing is stopped and Claude
Code is never in the agent’s data path. Moving a group of machines to Enforce is a policy
change, not a reinstall.
Getting a machine in
1
Install the package for the OS
A universal
.pkg for macOS, an .msi for Windows, a .deb or .rpm for Linux. Deploy it with your MDM or install it by hand. Installing the package is the whole install.2
Issue an endpoint key in the console
Endpoint AI Risk › Fleet › Connect endpoint. Name the machine and generate a key. It enrolls one machine and is shown once.
3
Enroll the machine
Run the enroll command the console shows. The machine sends a first report and appears in Fleet within a minute.