Enterprise
WeMachines is one workspace for every team and their AI: chat, tasks, docs and calls. Enterprise is the layer above them, where you write the context every team’s AI works from, set what it can spend, and see what it changes.
Channels, context and people can cross between teams. You set how far each goes.
Shared channels connect teams without opening their workspaces. Organization channels can be required for everyone or optional to join.
Agents can read tasks, docs and huddle write-ups from teams that share context. It is read-only, off until you turn it on, and it never includes team chat.
Invite colleagues by email. They join as members; admins manage invitations and roles. Each team controls its own membership.
Let each team choose whether to share its context, or set the policy and lock it. Limit which tools an agent can use and what it is allowed to change.
The tools a company needs everywhere get built by an agent in an afternoon, then go out to every team at once - to the people who open them, and to the agents that use them.
A laptop, a second monitor, a desk chair: the ask, who approves it and what is already on order.
Trips before they are booked - where, when, what it costs and who signed it off.
The offsite and the conference: flights, rooms, the schedule and who is going.
What every team shipped last month, written up from the work itself rather than from a form.
Day one for a new joiner: the accounts to open, the kit to order and the people to meet.
Every subscription the company pays for, the person who owns it and the date it renews.
Someone asks
@AIbuild an app for equipment requestsAn admin publishes it
To the organizationIt is in every team's apps
CheckoutSearchNotifications +17An app is a tool, not just a page: a team's agent can read from it and write to it while it works. One app for the company means every agent in it is looking at the same data.
Integrations
Connect any MCP server your teams run. Admins approve which tools each agent can call.
Connect repositories, pull requests and reviews to your team’s tasks.
Preview connected designs and let AI inspect frames, with read-only access.
Turn conversations into tasks. Admins choose what workspace context the bot can read.
Let AI check availability and schedule meetings through each person’s connected calendar.
Coming soon
Your goals and your ways of working go into the organization’s master context. Every team’s AI gets it alongside its own, and every team still keeps its workspace.
An estimate of what your year costs today and what the same year costs on WeMachines: the licences, the team keeping it all standing, and the hours it takes out of everyone's week. Every figure is a public rate or a cited assumption, and both columns are priced the same way.
$31.6M/ year
$5,266 per person a month
$11.5M/ year
$1,922 per person a month
Most platforms move a cost from one line to another. These four leave the budget the day the contract starts.
Nobody on your payroll patches the integrations, re-runs the evaluations or keeps the internal tools alive. It is our software, so it is our upkeep.
A new team, a new workflow, another internal app: teams build it themselves, in the week they need it, instead of filing a project and waiting a quarter for engineering.
11 security reviews, renewals and provisioning runs become one. The procurement work behind a stack is real, and nobody budgets for it either.
Every model and agent we ship arrives in your organization the day we ship it, already wired to your work. You do not run a migration or an evaluation project to get there.
The soft numbers are the ones worth arguing with, so each one names its source and sits on a control you can move.
8–12 h
a week, per person, back
The home page models 18–34 hours back for a software team. Across a whole organization the losses are smaller, so this page runs on a lower band. Harvard Business Review measured four of those hours as app-switching alone ↗.
$9,455
median SaaS spend per employee a year
Zylo, 2026 SaaS Management Index ↗, across 40 million licences. The tools WeMachines replaces are part of that figure; the rest of the estate carries the remainder, unchanged in both columns.
36%
of those licences are never used
Zylo, 2026 ↗. This estimate claims none of that back: every seat in it is priced as though somebody uses it.
Tasks, docs and shared goals give the AI structured context, so it asks for less and guesses less. Skills load on demand, and prompt caching lowers the cost of repeated input on the models that support it.
AI usage savings vary by workload and are not included in the estimate.
Compare AI adoption, calls and credits with tasks completed, median time to close and backlog trends. Filter by team over 7, 30 or 90 days, with comparisons to the previous period.
Each team keeps its workspace, members, tasks, docs and chat. Enterprise includes Max plus shared organization policies, context, insights and billing.
Write your goals and ways of working into the organization’s master context. Every team’s AI receives it alongside its local context.
Tasks, docs and huddle write-ups from teams with context sharing enabled. This access is read-only and off by default. Team chat is excluded.
Teams choose agent models within a shared price ceiling; higher-priced choices resolve to a lower-priced option. One credit balance covers all teams, with central billing and automatic top-ups. Built-in features use models selected by WeMachines.